In this study, a real-time control system is developed to operate the novel jam-absorption driving (JAD) strategy against single moving jams on freeway sections. Mixed traffic (human-driven vehicles and connected and automated vehicles (CAVs)) and heterogenous traffic (cars and trucks) are considered. The system calculates the moving jam propagation speed using vehicular trajectory data collected by camera sensors covering the entire control zone. The central controller selects a suitable CAV as an absorbing car in traffic through vehicle-to-infrastructure communication for performing JAD. Simulation results show that the system effectively enhanced traffic safety under a low market penetration rate of CAVs (approximately 1% to 10%). The investigation also shows the robustness of the proposed JAD system under various inflow rates.
A Jam-Absorption Driving System Based on Moving Jam Propagation Speed Estimation with Camera Sensors
Lecture Notes in Civil Engineering
International Conference on Traffic and Granular Flow ; 2022 ; Delhi, India October 08, 2022 - October 10, 2022
2024-05-26
8 pages
Article/Chapter (Book)
Electronic Resource
English
Jam-absorption driving , Moving jam estimation , Camera sensor , Vehicular trajectory data , Heterogeneous traffic Physics , Soft and Granular Matter, Complex Fluids and Microfluidics , Transportation Technology and Traffic Engineering , Mathematical Physics , Theoretical, Mathematical and Computational Physics , Engineering
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