Abstract
Plenty of studies on exclusive lanes for Connected and Autonomous Vehicle (CAV) have been conducted recently about traffic efficiency and safety. However, most of the previous research studies neglected comprehensive consideration of the safety impact on different market penetration rates (MPRs) of CAVs, traffic demands, and proportion of trucks in mixture CAVs with human’s driven vehicle environment. On this basis, this study is to (1) identify the safety impact on exclusive lanes for CAVs under different MPRs with different traffic demands and (2) investigate the safety impact of trucks for CAV exclusive lanes on mixture environment. Based on the Intelligent Driver Model (IDM), a CAV platooning control algorithm is proposed for modeling the driving behaviors of CAVs. A calibrated 7-kilometer freeway section microscopic simulation environment is built by VISSIM. Four surrogate safety measures, including both longitudinal and lateral safety risk indexes, are employed to evaluate the overall safety impacts of setting exclusive lanes. Main results indicate that (1) setting one exclusive lane is capable to improve overall safety environment in low demand, and two exclusive lanes are more suitable for high-demand scenario; (2) existence of trucks worsens overall longitudinal safety environment, and improper setting of exclusive lanes in high trucks, low MPR scenario has adverse effect on longitudinal safety; and (3) setting exclusive lanes have better longitudinal and lateral safety improvement in high-truck proportion scenarios. Setting one or two exclusive lanes led to [+42.4% to −52.90%] and [+45.7% to −55.2%] of longitudinal risks while [−1.8% to −87.1%] and [−2.1% to −85.3%] of lateral conflicts compared with the base scenario, respectively. Results of this study provide useful insight for the setting of exclusive lanes for CAVs in a mixture environment.
Highlights
Recent research studies on Connected and Autonomous Vehicle (CAV) based on the Internet of ings (IoT), arti cial intelligence, sensor technology, and other emerging technologies have made it ready for real-world applications in the near future [1]
Human-driven vehicles (HDVs) and CAVs will coexist in a long period, and some researchers argued that the safety impact is mainly decided by the market penetrate rates (MPRs) of CAVs [3]
We propose a trimming method, which calculates the distance of the leading and the following vehicles in 2.0 seconds (Figure 2) by using the current acceleration calculated by the Intelligent Driver Model (IDM) model
Summary
Recent research studies on Connected and Autonomous Vehicle (CAV) based on the Internet of ings (IoT), arti cial intelligence, sensor technology, and other emerging technologies have made it ready for real-world applications in the near future [1]. Careful discussion on the impact of exclusive lanes for connected and autonomous vehicles is necessary Another equipollence consideration is the influence of trucks on safety impacts for CAV exclusive lanes on different traffic compositions [18]. Additional efforts need to be made to the influence of high-truck proportion toward the safety impact of freeway exclusive lanes for CAVs for the early application of CAVs. e homogeneous CAV traffic is believed to be beneficial for the application and operation of autonomous vehicles, and the setting philosophy of CAV exclusive lanes still needs further investigation. In this paper, we try to make a supplement to previous research studies on investigating safety impacts of exclusive lanes for CAVs on different traffic demands and compositions to determine when it is better to set exclusive lanes. We deployed a simulation environment with surrogate safety measures technology to investigate the safety impact of the exclusive lane. ird, we conduct a comprehensive comparison analysis to analyse the safety impact on the impact of CAVs on the exclusive lane and pointed out useful perspectives for the operation of the CAV exclusive lane
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
