Quantitative Evaluation of the Impacts of the Time Headway of Adaptive Cruise Control Systems on Congested Urban Freeways Using Different Car Following Models and Early Control Results

The impact of driving automation and adaptive cruise control (ACC) on traffic performance has been increasingly studied in recent years. This paper focuses two widely used ACC car following models investigates the time headway parameter operation one busiest freeway corridors Ontario, Canada. Using Aimsun microsimulation, we compare commonly models; intelligent driver model (IDM) Shladover’s which recently adopted Next 20. Several experiments have conducted to evaluate for different desired settings market penetration rates ACC-equipped vehicles. Simulations results confirm reported IDM drawbacks having a slow response leading errors are less pronounced with thereby more accurate quantification by latter. study further presents simple on-off ACC-based strategy aims adapt real behavior vehicles prevailing conditions so that is improved. simulation demonstrate that, even low vehicles, proposed concept improves average network throughput, delay, speed compared case only manually driven or uncontrolled