A simulation study on the traffic delay and fuel consumption of connected and autonomous vehicles in superstreet with platooning, signal optimization, and trajectory planning. Issue 1 (2nd January 2023)

• Record Type: Journal Article
• Authors: Liu, Shaojie; Fan, Wei (David)
• Is Part Of: Transportation planning and technology. Volume 46:Issue 1(2023)
• Page Start: 119
• Page End: 144
• Publication Date: 2023-01-02
• Subjects: Superstreet -- connected and autonomous vehicles -- trajectory planning -- platooning -- signal optimization; Transportation -- Periodicals; Transportation -- Research -- Periodicals; Local transit -- Periodicals; Transportation and state -- Periodicals; 388
• DOI: 10.1080/03081060.2022.2160453
• Languages: English
• ISSNs: 0308-1060

Abstract

ABSTRACT: Connected and Autonomous Vehicles (CAVs) are a promising technology that is ready to be deployed in the near future to improve the traffic efficiency and safety as well as environment. Extensive studies have been done to investigate the potential performance of CAVs on freeways, at roundabouts, and conventional intersections. Nevertheless, innovative intersections, as an important component of today's transportation infrastructure, have been seldom investigated in relation to the performance of CAVs. Hence, this research is designed to examine how CAV technologies can influence the performance of a superstreet, one of the popular innovative intersection designs. In this research, the car-following model, platooning, trajectory planning, and adaptive signal control are specified for CAVs and signal controllers in a superstreet. An equivalent conventional intersection with the same lane configurations is also constructed in the simulation environment to make a fair comparison and gain important insights. More importantly, the findings from this research may provide references for studies on other innovative intersections which share similar design characteristics.