Abstract
Purpose This study aims to make full use of the advantages of connected and autonomous vehicles (CAVs) and dedicated CAV lanes to ensure all CAVs can pass intersections without stopping. Design/methodology/approach The authors developed a signal coordination model for arteries with dedicated CAV lanes by using mixed integer linear programming. CAV non-stop constraints are proposed to adapt to the characteristics of CAVs. As it is a continuous problem, various situations that CAVs arrive at intersections are analyzed. The rules are discovered to simplify the problem by discretization method. Findings A case study is conducted via SUMO traffic simulation program. The results show that the efficiency of CAVs can be improved significantly both in high-volume scenario and medium-volume scenario with the plan optimized by the model proposed in this paper. At the same time, the progression efficiency of regular vehicles is not affected significantly. It is indicated that full-scale benefits of dedicated CAV lanes can only be achieved with signal coordination plans considering CAV characteristics. Originality/value To the best of the authors’ knowledge, this is the first research that develops a signal coordination model for arteries with dedicated CAV lanes.
Highlights
With the rapid development of automotive technology, connected and autonomous vehicles (CAVs) have been widespread concerned and become one of the focuses in view of researchers on automotive engineering and traffic engineering
Full-scale benefits of CAVs can only be achieved at 100% CAV penetration
From a strategical planning perspective, dedicated lanes are preferable to attain the positive effects of CAVs (Carrone et al, 2021)
Summary
With the rapid development of automotive technology, connected and autonomous vehicles (CAVs) have been widespread concerned and become one of the focuses in view of researchers on automotive engineering and traffic engineering. Aggregating vehicles into platoons could reduce the computation burden, making it more practical to be implemented in the real world He et al (2015) took queues at intersections into consideration to avoid suboptimal or infeasible solutions to optimal vehicle trajectory on signalized arteries. CAVs will be traveling along urban roads with RVs at a relatively low penetration rate for quite a long time Be aware of this point, researchers analyzed the characteristics of mixed traffic flow under different penetration rates. We propose a new signal coordination method to promote efficiency of arteries with dedicated CAV lanes This method can be used for signal optimization alone, and can be applied as the basis for trajectory optimization of CAVs. The paper is organized as follows.
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