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Title: Parameter sensitivity analysis of a cooperative dynamic bus lane system with connected vehicles
Authors: Xie, Meng
Winsor, Michael
Ma, Tao
Rau, Andreas
Busch, Fritz
Antoniou, Constantinos
Keywords: Engineering::Civil engineering
Issue Date: 2022
Source: Xie, M., Winsor, M., Ma, T., Rau, A., Busch, F. & Antoniou, C. (2022). Parameter sensitivity analysis of a cooperative dynamic bus lane system with connected vehicles. Transportation Research Record, 2676(1), 311-323.
Journal: Transportation Research Record
Abstract: This paper aims to evaluate the sensitivity of the proposed cooperative dynamic bus lane system with microscopic traffic simulation models. The system creates a flexible bus priority lane that is only activated on demand at an appropriate time with advanced information and communication technologies, which can maximize the use of road space. A decentralized multi-lane cooperative algorithm is developed and implemented in a microscopic simulation environment to coordinate lane changing, gap acceptance, and car-following driving behavior for the connected vehicles (CVs) on the bus lane and the adjacent lanes. The key parameters for the sensitivity study include the penetration rate and communication range of CVs, considering the transition period and gradual uptake of CVs. Multiple scenarios are developed and compared to analyze the impact of key parameters on the system’s performance, such as total saved travel time of all passengers and travel time variation among buses and private vehicles. The microscopic simulation models showed that the cooperative dynamic bus lane system is significantly sensitive to the variations of the penetration rate and the communication range in a congested traffic state. With a CV system and a communication range of 150 m, buses obtain maximum benefits with minimal impacts on private vehicles in the study simulation. The safety concerns induced by cooperative driving behavior are also discussed in this paper.
ISSN: 0361-1981
DOI: 10.1177/03611981211035758
Rights: © 2021 National Academy of Sciences. All rights reserved.
Fulltext Permission: none
Fulltext Availability: No Fulltext
Appears in Collections:CEE Journal Articles

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