A Jam-Absorption Driving System Based on Moving Jam Propagation Speed Estimation with Camera Sensors

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.