Equilibrium Assignment of Traffic Networks Based on Path Selection
DOI:
https://doi.org/10.54097/ajst.v5i3.8024Keywords:
Traffic network allocation; Logit model; MSA algorithm.Abstract
Traffic assignment is a crucial phase in transportation planning, involving the distribution of trip data between origin and destination points obtained from surveys across the existing or planned road network. This process helps estimate the traffic volume on each road segment. In this study, we propose a traffic assignment model utilizing the Logit methodology. As a comprehensive path-based assignment model, the Logit approach determines the probability of users selecting each route. Subsequently, the overall traffic demand and route selection probabilities are employed to calculate the traffic volume on each route.
Downloads
References
Xu WQ, Han DQ, Liu MJ. Activity-based stochastic equilibrium analysis of traffic congestion networks[J]. Transportation System Engineering and Information, 2014, 14(03):174-178.
Zhou Bomi,Li XH,He J. A new algorithm for solving path-based logit-type stochastic user equilibrium model[J]. Chinese Journal of Highways,2014,27(03):100-107.
Liu Shixu,Chi Qiyuan,Yan Hao,Guo Lidan,Tang Yingnuo,Yan Hai. A multi-modal stochastic user equilibrium allocation model based on hierarchical logit[J]. Journal of Chang'an University (Natural Science Edition),2018,38(05):114-122.
Yu, Lijun. Optimal traffic assignment for generalized systems with roadway capacity constraints[J]. Journal of South China University of Technology (Natural Science Edition),2021,49(04):140-148.
Chen Xianlong,Zhou Ribo,Xu Liang. Practice of developing mesoscopic traffic simulation model based on dynamic traffic distribution[C]//Chinese Simulation Society. Proceedings of the 33rd China Simulation Conference. [publisher unknown], 2021:8.
ZHANG Jinwei,WU Zhong. Traffic distribution model considering intersection impedance [J]. Science and Technology Bulletin, 2020,36(10):73-76+81.
Cheng S.Y., Liu Y., Guo J.H.. A method for computing user equilibrium allocation uncertainty[J]. Journal of Nanjing University of Information Engineering (Natural Science Edition),2019,11(04):421-427.
Gao M.Y.,Shi H.G.. Node assignment algorithm for large-scale road traffic volume allocation[J]. Journal of Transportation Engineering and Information,2020,18(02):119-124.
He Shengxue. Traffic allocation model and algorithm considering environmental impact constraints[J]. Journal of East China Jiaotong University,2019,36(01):87-93.
Zhang W.Y., Li Z., Li H.L., et al. A C-Logit stochastic traffic assignment model based on probabilistic dominance[J]. Journal of Beijing Jiaotong University,2018,42(06):61-66.
Liu BQ, Chen B, Du Wei. An efficient algorithm for capacity-constrained traffic assignment in asymmetric elastic demand networks[J]. Practice and understanding of mathematics, 2018, 48(11): 133-139.
Liu H X, Rong X. Research on multi-path traffic assignment based on K short circuit [J]. Comprehensive Transportation, 2018, 40(01):68-72.
Liu Yuan. Research on dynamic traffic allocation based on flow restrictions of key road sections [J]. Journal of Transportation Engineering and Information, 2017,15(02):125-130.
Liu BQ, Du Wei. An improved artificial fish swarm algorithm for solving Logit stochastic user equilibrium problem[J]. Modern Electronics Technology, 2016,39(03):127-130.