首页 | 本学科首页   官方微博 | 高级检索  
     检索      


Dynamic user equilibrium based on a hydrodynamic model
Institution:1. Department of Civil and Environmental Engineering, Carnegie Mellon University, Pittsburgh, PA 15213, United States;2. Heinz College, Carnegie Mellon University, Pittsburgh, PA 15213 United States;1. Department of Civil and Environmental Engineering, National University of Singapore, Singapore 117576, Singapore;2. School of Transportation and Logistics, Dalian University of Technology, Dalian 116024, PR China\n;1. School of Transportation Engineering, Hefei University of Technology, Hefei 230009, China;2. Department of Civil Engineering, The University of Hong Kong, Pokfulam Road, Hong Kong;3. School of Traffic and Transportation, Beijing Jiaotong University, Beijing 100044, China;4. School of Economics and Management, Beihang University, Beijing 100191, China
Abstract:In this paper we present a continuous-time network loading procedure based on the Lighthill–Whitham–Richards model proposed by Lighthill and Whitham, 1955, Richards, 1956. A system of differential algebraic equations (DAEs) is proposed for describing traffic flow propagation, travel delay and route choices. We employ a novel numerical apparatus to reformulate the scalar conservation law as a flow-based partial differential equation (PDE), which is then solved semi-analytically with the Lax–Hopf formula. This approach allows for an efficient computational scheme for large-scale networks. We embed this network loading procedure into the dynamic user equilibrium (DUE) model proposed by Friesz et al. (1993). The DUE model is solved as a differential variational inequality (DVI) using a fixed-point algorithm. Several numerical examples of DUE on networks of varying sizes are presented, including the Sioux Falls network with a significant number of paths and origin–destination pairs (OD).The DUE model presented in this article can be formulated as a variational inequality (VI) as reported in Friesz et al. (1993). We will present the Kuhn–Tucker (KT) conditions for that VI, which is a linear system for any given feasible solution, and use them to check whether a DUE solution has been attained. In order to solve for the KT multiplier we present a decomposition of the linear system that allows efficient computation of the dual variables. The numerical solutions of DUE obtained from fixed-point iterations will be tested against the KT conditions and validated as legitimate solutions.
Keywords:
本文献已被 ScienceDirect 等数据库收录!
设为首页 | 免责声明 | 关于勤云 | 加入收藏

Copyright©北京勤云科技发展有限公司  京ICP备09084417号