To Whom It May Concern: Our agency just released an RFP for proposals to recalibrate and validate our regional travel demand model. Would it be possible to post the link on this listserv? Please advise. Thank you. David Heller, PP/AICP Program Manager – Regional Planning/Systems Performance South Jersey Transportation Planning Organization 817 East Landis Avenue, 2nd Floor (856) 794-1941 | www.sjtpo.org [...]

Dear TMIP Community, The Indianapolis MPO (IMPO) is seeking a Principal Planner II to lead complex planning, modeling, and data analytics efforts supporting IMPO’s strategic direction. The role oversees data quality, regulatory compliance, staff development, and cross‑department coordination. It involves supervising data and modeling projects, collaborating with state and federal partners, contributing to policy and tool development, and advising internal and external stakeholders on planning matters. [...]

Full message available at: New TR News Article: Can Transportation Planning Catch Up to a Changing World?

Full message available at: Job_Postings: Transportation Engineer/Modeler at Triangle West TPO

LAST CALL!!! Momo 2027 Call for Abstracts EXTENDED till October 2, 2026 Momo is the forum where ideas, tools, and perspectives converge to address complex mobility challenges, and where transportation professionals from public agencies, private consulting firms, software developers, data providers, and academic and research institutions converge to shape the future of modeling mobility.  The theme for momo 2027 is Converge. For modelers, the endgame is always convergence. For all transportation professionals, momo takes up convergence in two more challenging ways: whether our data sources converge on the same story, and whether our work converges on better outcomes for the people we serve. We welcome abstracts on any topic in transportation modeling, data, and planning, particularly those related to the Converge theme. The best submissions will not just report results; they will reflect on what made the work credible, where the evidence converged, and what the profession can learn from the approach.  Topics of particular interest include: * Data, methods, and tools: data management; travel surveys, big data, and data fusion; data visualization and GIS; AI and machine learning * Modeling: model development in travel demand, freight, land use and socioeconomic, air quality; corridor, regional, statewide, and multi-resolution modeling; ITS and traffic microsimulation; calibration, validation, and application * Modes and emerging technologies: active transportation, transit, automated and connected vehicles, freight and new commercial modes, and electric vehicles * Planning and policy: equity and social justice, statewide and regional planning, sustainability and climate, performance-based planning, land use integration, travel behavior and trends, and public involvement  There are two types of submissions for momo 2027: * Individual abstract submissions. These are typical podium-style presentations that can be organized with similarly themed presentations to create a session. * Special session proposal for an entire block (90 minutes) that converges multiple viewpoints, data, applications, approaches and/or tools. Special Sessions are intended to create space for discussion, collaboration, and shared learning around topics that matter to the transportation modeling profession. Submissions consider theme, format, speakers and moderators, and audience takeaways. * Potential Session Types: * Panel * Workshop * Hackathon * User Group For more information on momo 2027, including volunteer opportunities, please visit modelingmobility.org/2027/

New material has been added to the RFP posting. The updates include: - The bidder conference presentation slides - Answers to submitted questions - A compilation of the current TDM28 draft design and code refactoring plans https://www.commbuys.com/bso/external/bidDetail.sda?docId=BD-27-1217-MAP05-MAP05-133310 --- The Central Transportation Planning Staff (CTPS) is seeking a qualified consultant to provide expert model support for the development, enhancement, and strategic advancement of the Boston Region MPO's travel demand modeling capabilities. This scope of work outlines the consultant's responsibilities across two prongs of effort: statutory model delivery and exploratory modeling practice development. [...]

Hi TMIP community, Since many of us in the travel modeling community rely on Census data for our work, I thought this group might be interested in the proposed changes to the decennial census. Among other changes, the proposal would no longer include questions about race and ethnicity on the decennial census questionnaire and would prohibit questions about sexual orientation in the future. It would also change how usual residence is determined, including establishing a census enumeration period (rather than a single-day reference) and using tax and other administrative records to help determine usual residence. [...]

We’ve heard from a busy community that an extension for the Call for Abstracts for momo 2027 would be appreciated. Therefore… Momo 2027 Call for Abstracts EXTENDED till October 2, 2026 Momo is the forum where ideas, tools, and perspectives converge to address complex mobility challenges, and where transportation professionals from public agencies, private consulting firms, software developers, data providers, and academic and research institutions converge to shape the future of modeling mobility.  The theme for momo 2027 is Converge. For modelers, the endgame is always convergence. For all transportation professionals, momo takes up convergence in two more challenging ways: whether our data sources converge on the same story, and whether our work converges on better outcomes for the people we serve. We welcome abstracts on any topic in transportation modeling, data, and planning, particularly those related to the Converge theme. The best submissions will not just report results; they will reflect on what made the work credible, where the evidence converged, and what the profession can learn from the approach.  Topics of particular interest include: * Data, methods, and tools: data management; travel surveys, big data, and data fusion; data visualization and GIS; AI and machine learning * Modeling: model development in travel demand, freight, land use and socioeconomic, air quality; corridor, regional, statewide, and multi-resolution modeling; ITS and traffic microsimulation; calibration, validation, and application * Modes and emerging technologies: active transportation, transit, automated and connected vehicles, freight and new commercial modes, and electric vehicles * Planning and policy: equity and social justice, statewide and regional planning, sustainability and climate, performance-based planning, land use integration, travel behavior and trends, and public involvement  There are two types of submissions for momo 2027: * Individual abstract submissions. These are typical podium-style presentations that can be organized with similarly themed presentations to create a session. * Special session proposal for an entire block (90 minutes) that converges multiple viewpoints, data, applications, approaches and/or tools. Special Sessions are intended to create space for discussion, collaboration, and shared learning around topics that matter to the transportation modeling profession. Submissions consider theme, format, speakers and moderators, and audience takeaways. * Potential Session Types: * Panel * Workshop * Hackathon * User Group For more information on momo 2027, including volunteer opportunities, please visit modelingmobility.org/2027/

Dear Modelers and Planners, The Multimodal Planning Division (MPD) of the Arizona Department of Transportation (ADOT) is currently hiring for the Planning Modeler Manager position. To apply, please visit the AZStateJobs portal and use the requisition numbers (Req #) provided below to search for the specific roles: How to Find Jobs on the website: 1) Navigate to the AZStateJobs Search Page . [...]

Full message available at: Calls_For_Papers: Momo 2027 Call for Abstracts DEADLINE EXTENSION

Understanding Infrastructure Impacts and Model Performance Through Data Thursday, September 17, 2026  2:00 PM - 3:00 PM Eastern Time  Zoom Registration Understanding transportation system performance requires both strong modeling techniques and real-world data insights. This session brings together research on infrastructure impacts, model variability, and big data integration to better interpret and apply travel model results in planning and policy. Host: Marty Milkovits Moderator: Hailey Amundson Speakers: * Joe Broach (Oregon Metro) – New Methods for Measuring Regional Mobility: Augmenting a Regional Travel Model with Big Data   * Gaurav Vyas (Bentley) – Rolling the Dice with ABM - A systematic study of microsimulation variability   * Greg Erhardt (Univ Kentucky) – Measuring the Contribution of Additional Lane Miles on the Increase in U.S. Vehicle Miles Traveled from 1980 to 2019 You must register in advance for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Stick around after the session for the Zephyr Lounge, an informal drop-in meetup on the Zephyr Forum (Discord) to keep the conversation going.

The Central Transportation Planning Staff (CTPS) is seeking a qualified consultant to provide expert model support for the development, enhancement, and strategic advancement of the Boston Region MPO's travel demand modeling capabilities. This scope of work outlines the consultant's responsibilities across two prongs of effort: statutory model delivery and exploratory modeling practice development. [...]

It's Zephie nomination season! Is there a repository that everyone in your office is forking? A paper or report you couldn't stop talking about? A colleague whose work has inspired you or made a difference in your day-to-day work? Now is the time to recognize the people, projects, and ideas that strengthen our community. Submit a Zephie nomination and help celebrate the contributions that make a lasting impact. We particularly encourage new nominators to recognize a deserving colleague and/or project. We also welcome endorsements of past nominees (if you know a person/project that was nominated in previous years you want to highlight). You can submit nominations via the nomination form. Please provide as much detail as possible! It's very helpful to the review committee. Please submit nominations by Sept. 15. We have three categories: * Leadership - given to an individual who embodies the Zephyr Principles, and who embraces the Zephyr mission of advancing rigorous transportation and land use decision-making for the public good by advocating for and supporting improved travel analysis and facilitating its implementation.  Previous winners: Marty Milkovits (2026), Rick Donnelly (2025), Susan Handy (2024), Greg Ehrhart (2023 Leadership)/ Tierra Bills (2023 Rising Star), Elizabeth Sall (2022), Bill Davidson (2021), Joan Walker (2020), Joe Castiglione (2019)   * Technical Achievement - a project that has a potential for a positive impact on the transportation and/or land use decision-making field.  Previous winners: COVID & Telecommute paper (2026), OSMnx (2025), AequilibraE (2024), TMIP-EMAT (2023), Peter Vovsha (2022), VisionEval (2021), SACOG (2020)   * Impactful Research - a project that has a proven positive impact on the transportation and/or land use decision-making field.  Previous winners: ActivitySim (2026), R5 (2025), (2024 - skipped), STOPS (2023), (2022 - skipped), MATSim (2021), Biogeme (2020)

Momo 2027 Call for Abstracts open till September 18, 2027 Momo is the forum where ideas, tools, and perspectives converge to address complex mobility challenges, and where transportation professionals from public agencies, private consulting firms, software developers, data providers, and academic and research institutions converge to shape the future of modeling mobility.  The theme for momo 2027 is Converge. For modelers, the endgame is always convergence. For all transportation professionals, momo takes up convergence in two more challenging ways: whether our data sources converge on the same story, and whether our work converges on better outcomes for the people we serve. We welcome abstracts on any topic in transportation modeling, data, and planning, particularly those related to the Converge theme. The best submissions will not just report results; they will reflect on what made the work credible, where the evidence converged, and what the profession can learn from the approach.  Topics of particular interest include: * Data, methods, and tools: data management; travel surveys, big data, and data fusion; data visualization and GIS; AI and machine learning * Modeling: model development in travel demand, freight, land use and socioeconomic, air quality; corridor, regional, statewide, and multi-resolution modeling; ITS and traffic microsimulation; calibration, validation, and application * Modes and emerging technologies: active transportation, transit, automated and connected vehicles, freight and new commercial modes, and electric vehicles * Planning and policy: equity and social justice, statewide and regional planning, sustainability and climate, performance-based planning, land use integration, travel behavior and trends, and public involvement  There are two types of submissions for momo 2027: * Individual abstract submissions. These are typical podium-style presentations that can be organized with similarly themed presentations to create a session. * Special session proposal for an entire block (90 minutes) that converges multiple viewpoints, data, applications, approaches and/or tools. Special Sessions are intended to create space for discussion, collaboration, and shared learning around topics that matter to the transportation modeling profession. Submissions consider theme, format, speakers and moderators, and audience takeaways. Potential Session Types: * Panel * Workshop * Hackathon * User Group For more information on momo 2027, including volunteer opportunities, please visit modelingmobility.org/2027/ We are currently looking for additional Abstract Reviewers. Volunteer here!

You are invited to participate in a MobilityNet Transportation Practitioner (MNTP) Survey for a National Science Foundation project at Rutgers University. The research team is seeking to better understand how transportation practitioners currently use mobility data, the challenges they face, and how emerging artificial intelligence (AI) technologies and synthetic mobility data can better support transportation planning and decision-making. The survey will take approximately 10 minutes to complete and will be conducted entirely online through Qualtrics. [...]

Alex, In 2022, MWCOG staff developed a K-12 location and enrollment forecasting procedure in support of the development of our activity-based model. Please see the presentation slides below. Xie, F. (2022). School Enrollment Projection FOR GEN3, Phase 2, Model [Presentation slides]. Metropolitan Washington Council of Governments, Transportation Planning Board. https://www.mwcog.org/file.aspx?&A=5%2FmBWnNDbJvWrpRQ5T59Si7SWqXRzTDsq2FEVgSy3Ws%3D Please let me know if you have any questions. I hope you find this helpful. [...]

Dear TMIP Community, The Triangle Regional Model Service Bureau (Raleigh-Durham-Chapel Hill, NC) is currently working with school planning experts to design a process-based submodel to enhance our future-year K-12 location and enrollment forecasting. We would love to hear from other model developers and model managers that have invested time into rigorous approaches related to future-year K-12 prediction, and we are especially grateful for any model documentation that can be shared. [...]

Dear TMIPers: A recent UT graduate, Dr. Priyanka Paithankar, pulled together an easy-to-use data dashboard for anyone to visualize the day-to-day (and hour-to-hour) variations in Lyft & Uber fares, trip distances, pooled rides, empty (deadhead) driving, and demand maps across California: http://caee.webhost.utexas.edu/prof/kockelman/CaliforniaTNC2020DataDashboard.html. It reflects the 12-month population of 157M Uber and 61M Lyft trips (Sept 2019–Aug 2020) that the California PUC shared with SFCTA.  Back in 2020/2019, fares averaged about $2.21/shows how nearly 30% of every Uber mile in California is driven empty. Even though riders pay ~$2.21 per passenger-mile, the system collects only ~$1.56 per mile actually moved, a 30% revenue loss to empty miles that still congest roads. Uber also matches shared rides twice as often as Lyft (64% vs. 30%), and you can explore how fares vary by hour, day, and place, from ~$16 statewide to ~$43 at SFO. Hats off to the CPUC, Drew Cooper (SFCTA), and Joe Castiglione (Zephyr, formerly at SFCTA) for data provision! And big thanks to all who joined us at the BTR conference 2 weeks ago. (Classes have started here at UT Austin, & it’s a whirlwind of activity!) Hope to see you at TRB in January, Kara & colleagues + students ========================================= Dr.  Kara Kockelman, PhD, PE Dewitt Greer Centennial Professor in Transportation Engineering Fairborz Maseeh Department of Civil, Architectural & Environmental Engineering The University of Texas at Austin 301 E. Dean Keeton St., Stop C1761, Office: 6.9 ECJ Austin, TX 78712-1112 512-471-0210 (FAX: 512-475-8744) kkockelm@mail.utexas.edu http://www.caee.utexas.edu/prof/kockelman ==========================================

Just a reminder and invitation for folks to join us for the webinar tomorrow - hope to see many of you there! Vince Bernardin, PhD Vice President, Travel Demand Analytics | Caliper Corporation

TMIP Archives TMIP TMIP@TMIP.ZEPHYRTRANSPORT.ORG Options: Use Forum View Use Monospaced Font Show Text Part by Default Show All Mail Headers Message: [<< First] [< Prev] [Next >] [Last >>] Topic: [<< First] [< Prev] [Next >] [Last >>] Author: [<< First] [< Prev] [Next >] [Last >>] Subject: Calls_For_Papers: Momo 2027 Call for Abstracts Now Open! From: Modeling Mobility Conference <[log in to unmask]> Reply To: TMIP <[log in to unmask]> Content-Type: text/html Parts/Attachments: text/html (63 lines) ATOM RSS1 RSS2 TMIP.ZEPHYRTRANSPORT.ORG

Reminder: GMNS Learning Session: Assignment Tools This Thursday, August 20, 2026  2:00 PM - 3:00 PM Eastern Time  Zoom Registration --- You must register in advance for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Session Overview This session will feature insights from a leading researcher who will demonstrate practical GMNS assignment workflow from roadway-network conversion, demand preparation, and equilibrium assignment to validation and scenario comparison. GMNS enables seamless integration of tools, datasets, and workflows in travel demand modeling, while also supporting collaboration across disciplines. It provides a uniform, open, and extensible format for sharing routable network data that is both human-readable and machine-readable. Read more https://zephyrtransport.org/activities/network-standard-and-tools// Session Topic Zephyr Learning Session: GMNS and Multimodal Assignment Speakers Dr. Xuesong Zhou Dr. Xuesong (Simon) Zhou is a Professor of Transportation Systems at Arizona State University and Director of the ASU Transportation+AI Laboratory. He leads the development of open-source transportation modeling tools, including DTALite, NeXTA, and OSM2GMNS. Facilitator Dave Schmitt David Schmitt is an expert in transportation planning and demand modeling with a career spanning over 30 years. He holds dual bachelor’s degrees in Statistics and Mathematics as well as a Master’s in Planning, all from Florida State University. David currently co-owns and serves as the Executive Vice-President at Insight Transportation Consulting, a firm he helped start in 2021. David leads the company’s nationwide practice in travel demand and analytical modeling. He is a certified member of the American Institute of Certified Planners and actively participates in several key professional organizations.  

Reminder: GMNS Learning Session: Assignment Tools This Thursday, August 20, 2026  2:00 PM - 3:00 PM Eastern Time  Zoom Registration --- You must register in advance for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Session Overview This session will feature insights from a leading researcher who will demonstrate practical GMNS assignment workflow from roadway-network conversion, demand preparation, and equilibrium assignment to validation and scenario comparison. GMNS enables seamless integration of tools, datasets, and workflows in travel demand modeling, while also supporting collaboration across disciplines. It provides a uniform, open, and extensible format for sharing routable network data that is both human-readable and machine-readable. Read more https://zephyrtransport.org/activities/network-standard-and-tools// Session Topic Zephyr Learning Session: GMNS and Multimodal Assignment Speakers Dr. Xuesong Zhou Dr. Xuesong (Simon) Zhou is a Professor of Transportation Systems at Arizona State University and Director of the ASU Transportation+AI Laboratory. He leads the development of open-source transportation modeling tools, including DTALite, NeXTA, and OSM2GMNS. Facilitator Dave Schmitt David Schmitt is an expert in transportation planning and demand modeling with a career spanning over 30 years. He holds dual bachelor’s degrees in Statistics and Mathematics as well as a Master’s in Planning, all from Florida State University. David currently co-owns and serves as the Executive Vice-President at Insight Transportation Consulting, a firm he helped start in 2021. David leads the company’s nationwide practice in travel demand and analytical modeling. He is a certified member of the American Institute of Certified Planners and actively participates in several key professional organizations.  

Full message available at: Registration Now Open – 2026 National Mobility Summit (September 14, 2026)

OK. Is there a list of the examples you already have. Without it you will get more and more duplicates. For reference, Silvertown Tunnel opened on 7 April 2025. On Thursday, 13 August 2026 at 16:04:54 BST, TMIP wrote: Unfortunately we also have this one, Geoff - but many thanks nevertheless.  It’s a perfect example of what we’re after (new tolled capacity + tolling existing capacity). [...]

Dear Colleagues, I am pleased to share that my YouTube lecture series, Transportation Planning: Concepts and Terminology, which began on April 1, is now complete, with all 12 lectures publicly available. I hope these lectures may be of some value to those interested in transportation planning. Thank you for your interest and support. Best regards, Ikki Kim ※ You can find the lectures by searching “Transportation Planning” on YouTube,or access them directly through the links below. [...]

Thanks, Sudheer. But the GP lanes remain toll-free, so this doesn’t meet the criteria. Kind regards Rob www.robbain.com Sent from my iPhone On 13 Aug 2026, at 12:21, Sudheer Dhulipala wrote:  On SH 183 in Austin, TX, toll lanes were added and general purpose lanes were also increased. https://www.183north.com Sudheer Dhulipala On Wed, Aug 12, 2026 at 7:15 AM Rob Bain wrote: Unfortunately we already have this example in our database, Norm, but this is exactly the sort of situation that we’re looking for. [...]

Unfortunately we also have this one, Geoff - but many thanks nevertheless. It’s a perfect example of what we’re after (new tolled capacity + tolling existing capacity). Kind regards, Rob Robert Bain Senior Partner CSRB Group T: +44.1732.463314 rob.bain@csrbgroup.com www.csrbgroup.com [A logo with blue and red letters Description automatically generated] Recent Publications: Bain R and Cimon B (2026), The Toll Price Elasticity of Demand: A Guide for Practitioners, Route One Publishing Limited (UK). [...]

The new tolled Silvertown tunnel in E London will be assocaited with a tollon the neary, overloaded Blackwall tunnel, which was previously free.Hope this is of interest. Geoffrey Hyman Consultancy The new Silvertown Tunnel links Silvertown in east London to the Greenwich Peninsula. The new tunnel will help reduce congestion in and around the Blackwall Tunnel, help make peak time journeys faster and allow for better public transport links between both sides of the river. You need to pay a charge to drive through Blackwall or Silvertown tunnel unless your vehicle is exempt or has a 100% discount. This charge will help [...]

On SH 183 in Austin, TX, toll lanes were added and general purpose lanes were also increased. https://www.183north.com Sudheer Dhulipala On Wed, Aug 12, 2026 at 7:15 AM Rob Bain wrote: > Unfortunately we already have this example in our database, Norm, but this > is exactly the sort of situation that we’re looking for. > > Many thanks, > > Rob > > www.robbain.com > Sent from my iPhone > > On 12 Aug 2026, at 02:30, Norm Marshall > wrote: > >  > Louisville bridges. Traffic way below forecasts. Link here is not current, > but [...]

Unfortunately we already have this example in our database, Norm, but this is exactly the sort of situation that we’re looking for. Many thanks, Rob www.robbain.com Sent from my iPhone On 12 Aug 2026, at 02:30, Norm Marshall wrote:  Louisville bridges. Traffic way below forecasts. Link here is not current, but I didn't quickly find more recent summary. [...]

Full message available at: Re: Capacity Expansion Combined With Tolling

In the U.S. Puget Sound region (Seattle), Interstate highway 405 is being expanded to add a lane. After the expansion, the new lane and an existing HOV lane are both converted to express toll lanes (ETL). SOVs are allowed in these ETLs using dynamic tolls that change according to congestion levels. HOVs can use both ETLs for free (3+ during peak periods, 2+ midday). Everyone can use the lanes for free during nights and weekends. Some of the expansion has been completed, and some is under construction. [...]

Hi Rob, Here are two fresh examples in Washington State: Tolling the SR 509 and SR 167 expressways | WSDOT Shuming From: TMIP On Behalf Of Rob Bain Sent: Tuesday, August 11, 2026 3:37 AM To: TMIP@TMIP.ZEPHYRTRANSPORT.ORG Subject: [TMIP] Capacity Expansion Combined With Tolling [EXTERNAL EMAIL] Use caution when clicking links or opening attachments. Hi Does any list subscriber know of cases where (a) highway capacity has been expanded (widened highway, new highway, new bridge etc.) and, because of limited public funds and other considerations, (b) tolling has been introduced on both the existing and the new facility to [...]

Hi Does any list subscriber know of cases where (a) highway capacity has been expanded (widened highway, new highway, new bridge etc.) and, because of limited public funds and other considerations, (b) tolling has been introduced on both the existing and the new facility to pay (or part-pay) for it? Tolling existing facilities is often problematic. But the use of tolls in combination with (alongside) new or upgraded infrastructure is generally more acceptable. [...]

Dear Travel Modeling Enthusiasts: As many of you know, this year’s Bridging Transportation Researcher’s Program has LOTS of relevant results for you & others to follow. (Nearly half the parallel tracks have TMIP-related themes.) Below is information that was sent to all those who have registered in past year’s for this annual, cost-free event. Please let me know if you have any questions or suggestions, or wish to help lead BTR#9 next August. Thank you, & see you soon!

GMNS Learning Session: Assignment Tools  Thursday, August 20, 2026  2:00 PM - 3:00 PM Eastern Time  Zoom Registration --- You must register in advance for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Session Overview This session will feature insights from a leading researcher who will demonstrate practical GMNS assignment workflow from roadway-network conversion, demand preparation, and equilibrium assignment to validation and scenario comparison. GMNS enables seamless integration of tools, datasets, and workflows in travel demand modeling, while also supporting collaboration across disciplines. It provides a uniform, open, and extensible format for sharing routable network data that is both human-readable and machine-readable. Read more https://zephyrtransport.org/activities/network-standard-and-tools// Session Topic Zephyr Learning Session: GMNS and Multimodal Assignment Speakers Dr. Xuesong Zhou Dr. Xuesong (Simon) Zhou is a Professor of Transportation Systems at Arizona State University and Director of the ASU Transportation+AI Laboratory. He leads the development of open-source transportation modeling tools, including DTALite, NeXTA, and OSM2GMNS. Facilitator Dave Schmitt David Schmitt is an expert in transportation planning and demand modeling with a career spanning over 30 years. He holds dual bachelor’s degrees in Statistics and Mathematics as well as a Master’s in Planning, all from Florida State University. David currently co-owns and serves as the Executive Vice-President at Insight Transportation Consulting, a firm he helped start in 2021. David leads the company’s nationwide practice in travel demand and analytical modeling. He is a certified member of the American Institute of Certified Planners and actively participates in several key professional organizations.

Full message available at: Request for Qualifications: ActivitySim Software Development

After our summer break, we're pleased to announce the fourth webinar in the series: Combining Logit and Neural Networks: TB-ResNets and other AI-DCMs Wednesday, August 26, 2026, 1:30-3:00 pm ET Register HERE. Registration is first come, first served, and limited to the first 500 participants. Abstract: In this fourth installment of the TMIP AI Webinar Series, we will explore AI-DCM models in more depth, using TB-ResNets as an example. AI-enhanced discrete choice models or AI-DCM combine traditional logit discrete choice models with various types of artificial neural networks. The core motivation is straightforward: pure logit models are interpretable and theoretically [...]

We advance rigorous transportation and land use planning and decision-making for the public good by building community, expanding knowledge, and promoting standards.

Full message available at: Request for Qualifications: UrbanSim Open Source Software Development

Hi SangGu, It looks like you've accomplished your objective - the TMIP list isn't moderated but rather operates on professional courtesy and respect. TMIPers, DRCOG has an opening for a relatively mainstream travel demand model forecasting position. Duties include network coding, model testing and upgrades, documentation, responding to data requests, forecasting including a typically annual air quality conformity cycle (multi-horizon-year set of forecasts). The DRCOG Focus model is an activity-based model that traces its lineage to SacSIM. It's implemented in Caliper's TransCAD platform with custom C# code for the ABM components. It considers seven travel purposes and eight modes (three [...]

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🏆 It's Zephie Nomination Season! 🏆 Zephyr is now soliciting nominations for the 2027 Zephie Awards! We particularly encourage first-time nominators to recognize a deserving colleague and/or project. We also welcome endorsements of past nominees—if you know of a person or project that was nominated in previous years and deserves additional recognition, we'd love to hear about them. Submit your nomination here 📋 Please provide as much detail as possible. Detailed nominations are extremely helpful to the review committee and strengthen the case for deserving nominees. 🏅 Award Categories Leadership Recognizes an individual who embodies the Zephyr Principles and embraces Zephyr's mission of advancing rigorous transportation and land use decision-making for the public good through advocacy, support for improved travel analysis, and facilitation of its implementation. Previous Winners: 2026 – Marty Milkovits 2025 – Rick Donnelly 2024 – Susan Handy 2023 – Greg Ehrhart (Leadership) / Tierra Bills (Rising Star) 2022 – Elizabeth Sall 2021 – Bill Davidson 2020 – Joan Walker 2019 – Joe Castiglione Technical Achievement Recognizes a project with the potential to make a significant positive impact on the transportation and/or land use decision-making field. Previous Winners: 2026 – COVID & Telecommute Paper 2025 – OSMnx 2024 – AequilibraE 2023 – TMIP-EMAT 2022 – Peter Vovsha 2021 – VisionEval 2020 – SACOG50 Impactful Research Recognizes a project that has demonstrated a proven positive impact on the transportation and/or land use decision-making field. Previous Winners: 2026 – ActivitySim 2025 – R5 2024 – Not Awarded 2023 – STOPS 2022 – Not Awarded 2021 – MATSim 2020 – Biogeme65 Help us celebrate excellence across the Zephyr community by submitting a nomination today!

We're hiring for Senior and Junior Travel Demand Modeler positions at Modern Mobility Partners—a great fit for modelers looking to make a move or expand their impact. Award-winning firm, flexible work environment, excellent benefits. Positions available in Atlanta, Orlando, or remote (for qualified US candidates). Senior Modeler: 10+ yrs TDM/data analytics, Master's degree, Cube expertise preferred, remote Junior Modeler: 5+ yrs TDM/data analytics, Master's degree, R/Python a plus, hybrid [...]

https://registration.techtransfer.berkeley.edu/wconnect/CourseStatus.awp?&course=2610DS010803 Description The decisions transportation planners, analysts and managers make every day - where to invest infrastructure dollars, how to respond to incidents, how to plan for future growth - are only getting more complex. This three-and-a-half-day, hands-on course gives you practical tools to make those decisions with greater confidence and clarity. Using KNIME, a visual, low-code platform, you will learn about real analytics pipelines with actual regional datasets - no programming experience needed. You will leave with a working understanding of how geospatial data, AI, and simulation can strengthen the work you are already doing: designing EV charging networks, building resilient evacuation strategies, and understanding the environmental impacts of road decisions. Click here for a detailed outline. Topics Include * Data Science Pyramid: See how raw data flows through each stage to become meaningful insights that support real decisions. * Geospatial-Temporal Data Analytics: Work with mobile device data to understand how people and goods actually move through your region - and what that means for planning and operations. * Enterprise Ontologies: Build the data foundation your organization needs - a shared language for your business processes that makes data consistent, reusable, and actionable. * Synthetic Population Modeling: Understand how synthetic populations are growing into rich activity models used to model travel demand - bringing a new level of realism to transportation forecasting. * Infrastructure Design Use Cases: Apply data-driven methods to real-world challenges: siting EV charging infrastructure and designing evacuation routes that consider human behavior in an event. * Applied AI/ML: Explore how machine learning and generative AI are already being used in transportation - and where these tools are headed next for infrastructure design. What You Will Learn You will work hands-on with actual regional datasets to build complete analytics pipelines from start to finish. You will see how synthetic populations are generated and used to simulate activity at scale - including a full simulation of the Bay Area across 101 cities. You will gain practical experience with real-world mobile device data and learn how to interpret it alongside your models. Most importantly, you will learn how to translate technical findings into the kind of clear, compelling analysis that drives investment decisions and shapes policy. You will leave with a grasp of the challenges of using machine learning and GenAI in transportation - and how to position yourself and your organization for what is coming.  Who Should Attend This course is built for mid-career professionals in DOTs, cities, and consulting firms - Traffic Engineers, Urban Planners, GIS Analysts, Data Architects, and Smart City leads - who are ready to bring data-driven thinking into their day-to-day work. If you are managing transportation models, leading a digital transformation effort, or simply looking for better ways to support the decisions your organization needs to make, this course is for you. You don't need to be a data scientist. You just need to be curious about what's possible. Class Technical Information All attendees are required to bring their own laptop. You can install KNIME directly on your laptop before class or simply log in through a browser-based virtual desktop that has everything pre-configured. Either way, you will be ready to work from day one. Sessions are structured around small groups, so you can engage at whatever level feels comfortable - whether you want to dive in and build or focus on understanding the concepts and outcomes. All participants are encouraged to bring a small data problem you are interested in analyzing. Background Reading and Industry Standards * NCHRP 23-27 Data Ontologies for Data-Driven Decision-Making: Research Approach and Findings 2026, Research Report 1169. * KNIME Beginner's Luck. * www.smartcities.berkeley.edu. For More Information About our courses and credits, see our FAQ About payments, refunds, confirmations, and accessibility, see How to Enroll Or email us with your questions at registrar@techtransfer.berkeley.edu  

Full message available at: ATUS 2025 Data Now Incorporated into TBD Center Dashboards

Dear Colleagues, Registration is still open for the following one-week MIT course from July 27 - 31, 2026: Modeling Future Transportation Systems: User-Centric, Green, Automated & AI-Driven: https://professional.mit.edu/course-catalog/future-transportation-systems-user-centric-green-automated-ai-driven 3.0 Continuing Education Credits (CEUs): The course includes 25 hours of lectures, 3.75 hours of discussion, and may be accompanied by a letter in support of ECTS credit transfer. Registered students will have the opportunity to propose relevant specific projects, research topics, or problems that they would like to be included in the course activities. [...]

Full message available at: 2026 National Mobility Summit – Confirmed Date: September 14, 2026

GMNS Multimodal Accessibility Learning Session Overview Please join us at 2:00p EDT on Thursday June 25, 2026 for a Zephyr learning session featuring insights from leading researchers and practitioners who are actively using the General Modeling Network Specification (GMNS) to develop standardized data formats for modeling transportation networks across different software platforms and regions. GMNS enables seamless integration of tools, datasets, and workflows in travel demand modeling, while also supporting collaboration across disciplines. It provides a uniform, open, and extensible format for sharing routable network data that is both human-readable and machine-readable. Read more https://zephyrtransport.org/projects/2-network-standard-and-tools/ Registration You must register in advance for this meeting. After registering, you will receive a confirmation email containing information about joining the meeting. Speakers Dr. Andre Carrel Dr. Andre L. Carrel is an associate professor of transportation and the director of the OSU Travel Behavior Research Group. Dr. Carrel’s areas of expertise are travel behavior, travel demand forecasting, automatic travel data collection technologies, and public transportation. His research focuses on modeling the travelers’ adaptation to reliability and trip quality, the impact of vehicle electrification and automation on travel behavior, dynamics of travel behavior, and the impact of information and communication technologies such as online shopping and remote working on travel demand. He incorporates elements from marketing research and social psychology, notably satisfaction and well-being, into the traditional economic concepts in travel behavior. Dr. Carrel is jointly appointed in Civil Engineering and City and Regional Planning and is a core faculty member of the OSU Translational Data Analytics Institute. Dr. Harvey Miller Dr. Harvey Miller is the Bob and Mary Reusche Chair in Geographic Information Science and Professor of Geography at The Ohio State University, where he directs the Center for Urban and Regional Analysis. His research focuses on sustainable, resilient, and equitable mobility, using spatial and movement analytics to improve transportation systems, traffic safety, and public health. He is a pioneer of analytical time geography and a leader in advancing spatial analysis in the data-rich era. Dave Dixon Dave Dixon is Director of Data Analytics & Strategy at the Mid-Ohio Regional Planning Commission (MORPC), where he leads data-driven initiatives to support regional planning and public policy in Central Ohio. Dave Dixon holds a Master of Public Administration from The Ohio State University’s John Glenn School of Public Affairs and a bachelor’s degree from The Ohio State University. His work supports MORPC’s role as a trusted regional voice and catalyst—leveraging data and analytics to advance transportation systems, community development, and a more sustainable future for Central Ohio. Facilitator Joe Castiglione Joe Castiglione is the Executive Director of the Zephyr Foundation, whose mission is to improve travel analysis to support public decision-making through efforts such as the GMNS standard and the open source ActivitySim activity-based model platform. Joe has over 25 years experience developing, implementing, and applying advanced travel forecasting models, and holds degrees in architecture and urban planning.

Thanks again to everyone who was able to join us for the second webinar in the TMIP AI webinar series yesterday! It was great to see the sustained level of interest with another capacity crowd online. Again, we apologize for the limited capacity for these first two webinars and are happy to share that we will have increased capacity for up to 500 attendees for the third webinar next week. [...]