Thirteen peer-reviewed journal articles and seventeen peer-reviewed conference papers. See also my ORCID profile and CV.

Journal articles

  1. Sushmita Bhandari, Adrian Cottam, Xi Zhang, Alyssa Ryan, and Yao-Jan Wu (2026). Integrating Vehicle Probe Speed and Crash Data for Statewide Traffic and Road Safety Enhancement. Transportation Research Record. DOI
  2. Xiaofeng Li, Hyunsoo Noh, Adrian Cottam, and Qinzheng Wang (2026). Leveraging Connected-Vehicle Data to Identify and Analyze Park Service Areas. Cities. DOI
  3. Ernest Tufuor, Adrian Cottam, and Laurence Rilett (2025). A Statewide Highway System Network Analysis: Impact of Probe Vehicle Composition. Transportation Research Record. DOI
    TRB ACP70 Best Overall Paper Award, 2025
  4. Gabriel Gedaliah Geffen, Adrian Cottam, Henrick Haule, and Yao-Jan Wu (2025). Evaluation of Factors Influencing Ramp Metering Compliance Using Controller Event-Based Data. Transportation Research Record. DOI
    TRB ACP20 Young Professional / Student Best Paper Award, 2025
  5. Abolfazl Karimpour, Adrian Cottam, Anthony Altieri, and Ellwood Hanrahan II (2025). Automated Statewide Estimation of Crash-Induced Delay and Queueing using Crowdsourced Data. Case Studies on Transport Policy. DOI
  6. Adrian Cottam, Xiaofeng Li, and Yao-Jan Wu (2025). VEMLAN: Imputing Missing Data for Failed Freeway Traffic Sensors. Journal of Intelligent Transportation Systems. DOI
  7. Adrian Cottam, Xiaofeng Li, and Yao-Jan Wu (2024). Machine-Learning Approach for Estimating Passenger Car Equivalent Factors using Crowdsourced Data. Transportmetrica A: Transport Science. DOI
  8. Adrian Cottam, Xiaofeng Li, Xiaobo Ma, and Yao-Jan Wu (2024). Large-scale Freeway Traffic Volume Estimation using Crowdsourced Speed Data: A Case Study in Arizona. Journal of Transportation Engineering, Part A: Systems. DOI
  9. Adrian Cottam, Xiaofeng Li, Mohammad Razaur Rahman Shaon, and Yao-Jan Wu (2024). Investigating the Impacts of E-Scooters on Bike-sharing System Ridership: A Data-Driven Study in Tucson, Arizona. International Journal of Sustainable Transportation. DOI
  10. Xiaofeng Li, Adrian Cottam, and Yao-Jan Wu (2023). Transit Arrival Time Prediction using Interaction Networks. IEEE Transactions on Intelligent Transportation Systems. DOI
  11. Xiaoling Luo, Adrian Cottam, Yao-Jan Wu, and Yangsheng Jiang (2021). Hybrid-Data Approach for Estimating Trip Purposes. Transportation Research Record. DOI
  12. Xiaofeng Li, Adrian Cottam, Yao-Jan Wu, and Alireza Khani (2020). Can a bikesharing system reduce fuel consumption? Case study in Tucson, Arizona. Transportation Research Part D: Transport and Environment. DOI
  13. Xiaofeng Li, Alexander Weber, Adrian Cottam, and Yao-Jan Wu (2019). Impacts of Changing from Permissive/Protected Left-Turn to Protected-Only Phasing: Case Study in the City of Tucson, Arizona. Transportation Research Record. DOI

Preprint

Peer-reviewed conference papers

  1. Adrian Cottam, Corey McDaniels, Griffin Herring, Ben Tuttle, and Laurence Rilett (2026). AI Safety Analyst: Improving Accessibility to Data-Driven Transportation Safety Assessment with Multimodal Large Language Models. Accepted for presentation at the 106th Annual Meeting of the Transportation Research Board in Washington, DC in January 2027.
  2. Adrian Cottam, Amee Kivette, Ernest Tufuor, Corey McDaniels, and Laurence Rilett (2026). Zero-Shot Open- Vocabulary Annotation of Roadside Assets Within Lidar Data Using Large Language Models. Presented at the 105th Annual Meeting of the Transportation Research Board in Washington, DC.
  3. Ernest Tufuor, Adrian Cottam, and Laurence Rilett (2025). A Statewide Highway System Network Analysis: Impact of Probe Vehicle Composition. Presented at the 104th Annual Meeting of the Transportation Research Board in Washington, DC.
    Earned 2025 Best Overall Paper Award from the Committee on Highway Traffic Monitoring (ACP70)
  4. Gabriel Gedaliah Geffen, Adrian Cottam, Henrick Haule, and Yao-Jan Wu (2025). Evaluation of Factors Influencing Ramp Metering Compliance Using Controller Event-Based Data. Presented at the 104th Annual Meeting of the Transportation Research Board in Washington, DC.
    Earned Young Professional / Student Best Paper Award from the Freeway Operations Committee (ACP20).
  5. Abolfazl Karimpour, Anthony Altieri, Adrian Cottam, Ellwood Hanrahan II (2025). Automated Statewide Estimation of Crash-Induced Delay and Queueing using Crowdsourced Data. Presented at the 104th Annual Meeting of the Transportation Research Board in Washington, DC.
  6. Sushmita Bhandari, Adrian Cottam, Xi Zhang, Alyssa Ryan, Yao-Jan Wu (2025). Integrating Crowdsourced Speed Data and Crash Data for Statewide Traffic Management and Road Safety Enhancement. Presented at the 104th Annual Meeting of the Transportation Research Board in Washington, DC.
  7. Xiaofeng Li, Hyunsoo Noh, Adrian Cottam, Qinzheng Wang (2025). Leveraging Connected-Vehicle Data to Identify Park Service Areas for Driving-Only Users. Presented at the 104th Annual Meeting of the Transportation Research Board in Washington, DC.
  8. Adrian Cottam, Xiaofeng Li, and Yao-Jan Wu (2024). Machine-Learning Approach for Estimating Passenger Car Equivalent Factors using Crowdsourced Data. Presented at the 103rd Annual Meeting of the Transportation Research Board in Washington, DC.
  9. Adrian Cottam, Xiaofeng Li, Cynthia Navarro, and Yao-Jan Wu (2024). Investigating Interactions between Sidewalk Autonomous Delivery Robots and Vehicular Traffic at Stop-Controlled Crosswalks. Presented at the 103rd Annual Meeting of the Transportation Research Board in Washington, DC.
  10. Xiaobo Ma, Adrian Cottam, Mohammad Razaur Rahman Shaon, and Yao-Jan Wu (2024). Application of Transfer Learning for Proactive Ramp Metering Performance Assessment. Presented at the 103rd Annual Meeting of the Transportation Research Board in Washington, DC.
  11. Adrian Cottam, Xiaofeng Li, and Yao-Jan Wu (2023). Machine-Learning Approach for Estimating Passenger Car Equivalency Factors using Crowdsourced Data. Presented at TRB Committee on Highway Capacity and Quality of Service (ACP40) Uninterrupted Flow Subcommittee Quarterly Meeting.
  12. Adrian Cottam, Xiaofeng Li, and Yao-Jan Wu (2023). VEMLAN: Imputing Missing Data for Failed Freeway Traffic Sensors. Presented at the 102nd Annual Meeting of the Transportation Research Board in Washington, DC.
  13. Xiaofeng Li, Adrian Cottam, and Yao-jan Wu (2022). Transit Arrival Time Prediction by Fusing GTFS and Crowdsourced Data. Presented at the 101st Annual Meeting of the Transportation Research Board in Washington, DC.
  14. Adrian Cottam, Xiaobo Ma, Xiaofeng Li, and Yao-jan Wu (2021). Large-scale Freeway Traffic Volume Estimation using Crowdsourced Speed Data: A Case Study in Arizona. Presented at the 100th Annual Meeting of the Transportation Research Board in Washington, DC.
  15. Adrian Cottam, Xiaofeng Li, Mohammad Razaur Rahman Shaon, and Yao-jan Wu (2021). Investigating the Impacts of E-Scooters on Bike-sharing System Ridership: A Data-Driven Study in Tucson, Arizona. Presented at the 100th Annual Meeting of the Transportation Research Board in Washington, DC.
  16. Yang Liang, Xiaoqing Zeng, Xiaofeng Li, Adrian Cottam, and Yao-Jan Wu (2020). Quantifying Mobility Impact of Pedestrian Hybrid Beacon Signal on Arterial Traffic: Case Study in Tucson, Arizona. Presented at the 99th Annual Meeting of the Transportation Research Board in Washington, DC.
  17. Xiaofeng Li, Alexander Weber, Adrian Cottam, and Yao-Jan Wu (2019). Impacts of Changing from Permissive/Protected Left-Turn to Protected-Only Phasing. Case Study in the City of Tucson, Arizona. Presented at the 98th Annual Meeting of the Transportation Research Board in Washington, DC.

Professional presentations

  1. Adrian Cottam, Amee Kivette, Ernest Tufuor, Corey McDaniels, and Laurence Rilett (2026). Zero-Shot Open- Vocabulary Annotation of Roadside Assets Within Lidar Data Using Large Language Models. Presented at the 2026 ASCE International Conference on Transportation & Development in Detroit, MI.
  2. Corey McDaniels, Timo Mueller, Adrian Cottam, Ernest Tufuor, and Laurence Rilett (2026). A Scalable Automated LiDAR-Based Roadway Digital Twin Creation Framework for Virtual Curve Safety Studies. Presented at the 2026 ASCE International Conference on Transportation & Development in Detroit, MI.
  3. Adrian Cottam, Corey McDaniels, Laurence Rilett, and Steven Carter (2025). Stochastic Calibration of Entry Control Facility Microsimulation Models Using Distribution Matching. Presented at the 2025 ASCE International Conference on Transportation & Development in Glendale, AZ.
  4. Ernest Tufuor, Adrian Cottam, and Laurence Rilett (2025). Impact Of Probe Vehicle Data and Roadway Features on Travel Time Reliability: A Statewide Analysis. Presented at the 2025 ASCE International Conference on Transportation & Development in Glendale, AZ.
  5. Adrian Cottam (2024). Impacts of Probe Vehicle Compositions on NPMRDS. Presented at the 2024 GAITE/ALSITE Technical Exchange in Auburn, AL.
  6. Adrian Cottam, Xiaofeng Li, and Yao-jan Wu (2024). Machine-Learning Approach for Estimating Passenger Car Equivalent Factors using Crowdsourced Data. Presented at the 2024 ASCE International Conference on Transportation & Development in Atlanta, GA.
  7. John Roberts, Adrian Cottam (2022). Beyond Rush Hour: Using Ramp Metering and Event-Based Data for Incident Response. Presented at the 29th ITS Arizona Annual Conference in Mesa, AZ.
  8. Adrian Cottam, Xiaobo Ma, Yong Ge, and Yao-jan Wu (2022). Spatial Transferability of Volume Estimation Models: A Multi-Model Analysis with Spatial Embedding. Presented at the 101st Annual Meeting of the Transportation Research Board Eisenhower Scholars Poster Session in Washington, DC.
  9. Steven Cheshko, Adrian Cottam (2021). Adapting to a Pandemic: Ramp Metering with Changing Traffic Patterns. Presented at the 28th ITS Arizona Annual Conference in Mesa, AZ.
  10. Adrian Cottam (2018). Effects of Street Lighting on the Severity of Vulnerable Road User Crashes. Presented at the 2018 COTA-ISETT conference in Honolulu, HI.

Technical reports