Optimisation of lane-changing advisory at the motorway lane drop bottleneck. (September 2019)

• Record Type: Journal Article
• Authors: Zhang, Chunbo; Sabar, Nasser R.; Chung, Edward; Bhaskar, Ashish; Guo, Xiucheng
• Is Part Of: Transportation research. Volume 106(2019)
• Page Start: 303
• Page End: 316
• Publication Date: 2019-09
• Subjects: Cooperative intelligent transport systems -- Lane drop -- Hyper-heuristic optimisation -- Lane-changing distribution -- Lane-changing advisory; Transportation -- Periodicals; Transportation -- Technological innovations -- Periodicals; 388.011
• DOI: 10.1016/j.trc.2019.07.016
• Languages: English
• ISSNs: 0968-090X

Abstract

Highlights: A lane-changing advisory control was proposed using C-ITS. Hyper-heuristic method was used to optimize lane-changing advisory proportions. Effects of lane-changing advisory with different connected vehicles were analyzed. Abstract: Reduction in the number of lanes (lane drop) is common on motorways due to road design, incidents, or road maintenance, and it can be an active bottleneck if the traffic demand is high. If congestion occurs, the lane drop capacity will decrease 10–20%. In order to avoid capacity drop, this study analysed the reason and proposed lane-changing advisory control on the merge lane to distribute lane-changing using Cooperative Intelligent Transport Systems (C-ITS) technology. Further, this study used hyper-heuristic optimisation to obtain the lane-changing advisory proportion of each segment upstream of lane drop. Conditions of different traffic demands were analysed using the microscopic traffic simulation software AIMSUN and its Application Program Interface (API) function. Results indicated that the proposed lane-changing advisory strategy could reduce traffic congestion and obviously improve traffic efficiency. This study also analysed the effects with different proportions of connected vehicles and found that if the connected vehicle ratio is less than 20%, the lane-changing advisory has little impact on the lane drop performance, and that if the penetration rate is more than 50%, the gain in performance is marginal.