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12 May 2023 A new method for calculating traffic delay based on modified BPR function model
Xingliang Zhang, Dandan Song, Zhuo Liu, Yukun Jing, Jie Pu, Haitao Yu
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Proceedings Volume 12641, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023); 1264115 (2023) https://doi.org/10.1117/12.2678937
Event: International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023), 2023, Changsha, China
Abstract
With rapid economic, technological, and industrial development, the transport network is under increasing load pressure. Making the best use of existing road network resources and traffic management resources, improving traffic and travel management, and increasing the efficiency of road use are essential issues we need to face. In this paper, the traditional BPR model is modified to take into account complications such as intersections, traffic accidents, road maintenance under congestion, and delay time due to queueing under congestion. The queueing time of a congested traffic flow is estimated using a trajectory tracking method using the cell phone signal of the driver and the base station data in the traffic network. The traditional BPR model was creatively modified to develop a modified BPR functional model for estimating traffic delay, which can be applied in transportation network planning. The final experimental model simulates the effect of traffic delay during vehicle movement, reflecting road flow, and providing effect support for road network planning.
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Xingliang Zhang, Dandan Song, Zhuo Liu, Yukun Jing, Jie Pu, and Haitao Yu "A new method for calculating traffic delay based on modified BPR function model", Proc. SPIE 12641, International Conference on Cryptography, Network Security, and Communication Technology (CNSCT 2023), 1264115 (12 May 2023); https://doi.org/10.1117/12.2678937
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KEYWORDS
Roads
Data modeling
Network architectures
Cell phones
Telecommunication networks
Transportation
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