International Journal of Transportation Science and Technology
Reducing the risk of secondary crashes is a key goal for effective traffic incident management. However, only few countermeasures have been established in practices to achieve the goal. This is mainly due to the stochastic nature of both primary and secondary crashes. Given the emerging connected vehicle (CV) technologies, it is highly likely that CVs will soon be able to communicate with each other through the ad-hoc wireless vehicular network. Information sharing among vehicles is deemed to change traffic operations and allow motorists for more proactive actions. Motorists who receive safety messages can be motivated to approach queues and incident sites with more caution. As a result of the improved situational awareness, the risk of secondary crashes is expected to be reduced. To examine whether this expectation is achievable or not, this study aims to assess the impact of connectivity on the risk of secondary crashes. A simulation-based modeling framework that enables vehicle-to-vehicle communication module was developed. Since crashes cannot be directly simulated in micro-simulation, the use of surrogate safety measures was proposed to capture vehicular conflicts as a proxy for secondary crash risk upstream of a primary crash site. An experimental study was conducted based on the developed simulation modeling framework. The results show that the use of connected vehicles can be a viable way to reduce the risk of secondary crashes. Their impact is expected to change with an increasing market penetration of connected vehicles. © 2017 Tongji University and Tongji University Press.
Original Publication Citation
Yang, H., Wang, Z., & Xie, K. (2017). Impact of connected vehicles on mitigating secondary crash risk. International Journal of Transportation Science and Technology, 6(3), 196-207. doi:https://doi.org/10.1016/j.ijtst.2017.07.007
Yang, Hong; Wang, Zhenyu; and Xie, Kun, "Impact of Connected Vehicles on Mitigating Secondary Crash Risk" (2017). Computational Modeling & Simulation Engineering Faculty Publications. 14.