交通运输工程与信息学报2024，Vol.22Issue(4)：128-141,153,15.DOI:10.19961/j.cnki.1672-4747.2024.02.015
再探交通网络超额需求容量模型与算法
Revisiting excess demand capacity model and algorithm of traffic network
摘要
Abstract
Urban-road network capacity,which is a key indicator for assessing the balance between urban-traffic supply and demand and a crucial decision-making basis for government investments,re-fers to the maximum traffic flow that a network can accommodate under the constraint of link capaci-ty.Investigations into network capacity enables the prediction of additional demand that can be ac-commodated by a network,thereby assisting managers in formulating practical and effective traffic-planning and management policies.Mathematically,such issues are typically formulated as bi-level optimization models,with the upper-level model maximizing the total traffic demand and the lower-level model modeling traveler path-choice behavior and network-congestion effects.Because of the complexity of solving bi-level optimization models and their impracticality for large-scale networks,most of these bi-level models are limited in practical applications.This study systematically reviews a single-level network capacity model,namely the excess-demand network-capacity model,and pro-poses an efficient solution algorithm.This study introduces the concept of an augmented network to describe the capacity of a road network.The maximum network capacity is obtained by iteratively solving the traffic assignment for each fixed-demand problem.Numerical experimental results show that the excess-demand network-capacity model and its algorithm can accurately predict the maxi-mum traffic-demand capacity of large-scale urban-traffic networks under different cases,thus provid-ing a robust tool for urban-traffic planning and management.In scenarios where the road network is at its capacity limit,certain links whose volumes have reached or approached their capacity may be-come bottleneck links,thus affecting the overall network capacity.This information can be utilized to guide governmental decisions regarding traffic control strategies or road-expansion investments,thereby offering widespread practical applications.关键词
城市交通/路网容量/交通分配/交通承载力/超额需求Key words
urban traffic/road network capacity/traffic assignment/traffic carrying capacity/excess demand分类
交通工程引用本文复制引用
彭茂珂,彭小东,黄俊,刘晓玲,丘建栋,谢军..再探交通网络超额需求容量模型与算法[J].交通运输工程与信息学报,2024,22(4):128-141,153,15.基金项目
国家自然科学基金项目(72371205) （72371205）
