基于宏观基本图的城市多分区高速公路网设计问题

IF 8.5 1区 工程技术 Q1 COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS
Yunran Di, Weihua Zhang, Haotian Shi, Heng Ding, Jinbiao Huo, Bin Ran
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引用次数: 0

摘要

随着城市化进程的推进,城市纷纷建设高速公路以满足复杂的出行需求。然而,传统的基于链路的路网设计方法在解决大规模高速公路路网设计问题时面临着挑战。本研究提出一种适合多分区路网的高速公路网设计方法。该方法采用宏观基本图来模拟动脉动力学,采用细胞传递模型来捕捉高速公路动力学。在此基础上,建立了路线选择的随机用户均衡模型,建立了总花费时间最小化的决策模型。仿真结果表明,新建高速公路缓解了路网拥堵,初期效果显著。此外,路线引导策略和驾驶员依从性也会对方案产生影响。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
The expressway network design problem for multiple urban subregions based on the macroscopic fundamental diagram

With the advancement of urbanization, cities are constructing expressways to meet complex travel demands. However, traditional link-based road network design methods face challenges in addressing large-scale expressway network design problems. This study proposes an expressway network design method tailored for multi-subregion road networks. The method employs the macroscopic fundamental diagram to model arterial dynamics and the cell transmission model to capture expressway dynamics. A stochastic user equilibrium model is further established for route choice, and a decision model is developed to minimize total time spent. Simulations show that new expressways alleviate network congestion, with significant effects in the initial stages. Moreover, route guidance strategies and driver compliance also influence the schemes.

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来源期刊
CiteScore
17.60
自引率
19.80%
发文量
146
审稿时长
1 months
期刊介绍: Computer-Aided Civil and Infrastructure Engineering stands as a scholarly, peer-reviewed archival journal, serving as a vital link between advancements in computer technology and civil and infrastructure engineering. The journal serves as a distinctive platform for the publication of original articles, spotlighting novel computational techniques and inventive applications of computers. Specifically, it concentrates on recent progress in computer and information technologies, fostering the development and application of emerging computing paradigms. Encompassing a broad scope, the journal addresses bridge, construction, environmental, highway, geotechnical, structural, transportation, and water resources engineering. It extends its reach to the management of infrastructure systems, covering domains such as highways, bridges, pavements, airports, and utilities. The journal delves into areas like artificial intelligence, cognitive modeling, concurrent engineering, database management, distributed computing, evolutionary computing, fuzzy logic, genetic algorithms, geometric modeling, internet-based technologies, knowledge discovery and engineering, machine learning, mobile computing, multimedia technologies, networking, neural network computing, optimization and search, parallel processing, robotics, smart structures, software engineering, virtual reality, and visualization techniques.
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