LabCompass

Jijo K. Mathew

Engineering · Purdue University West Lafayette

Mid career · publishing since 2002

Publications

121

Citations

983

Est. group size

~11

Recurring co-author estimate

Active years

24

Publishing since 2002

Research summary
AI-generated

Jijo K. Mathew works on applied transportation engineering, focusing on how connected vehicle data, traffic cameras, and other sensing technologies can be used to monitor and manage roadway systems. Recent work covers topics like calibrating traffic surveillance cameras, tracking pavement condition and winter road maintenance performance, monitoring truck driving behavior and speeds, and using connected vehicle data to study events such as the 2024 solar eclipse's effect on traffic. This research is oriented toward practical tools for state transportation agencies to improve safety, asset management, and traffic operations.

Connected and automated vehicle data applicationsTraffic camera calibration and monitoring systemsPavement condition and roadway asset managementTruck and commercial vehicle safety monitoringWinter maintenance and weather-related traffic operations

Publication output has grown substantially over the last decade, rising from single digits around 2017-2019 to a peak of over 20 papers in 2021 and remaining strong (15-18 per year) through 2023-2024.

Generated by claude-sonnet-5 from public bibliographic data · Jul 20, 2026

Publication cadence
Publications per year over the last 10 years — averaging 8.8/year recently
2017: 8 publications172018: 6 publications182019: 6 publications192020: 19 publications202021: 23 publications23212022: 8 publications222023: 15 publications232024: 18 publications242025: 3 publications2526
Recent publications
Publishes in
  • Journal of Transportation Technologies×16
  • Purdue e-Pubs (Purdue University)×5
  • Transportation Research Record Journal of the Transportation Research Board×3
  • International Conference on Transportation and Development 2020×3
  • ITE journal×2
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This profile was generated automatically from public scholarly data (OpenAlex). Group size and activity levels are estimates derived from co-authorship patterns.

Last updated Jul 20, 2026.

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