学习和管理随机网络流量动态：一种迭代和互动方法

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2024-01-10 DOI:10.1080/21680566.2024.2303050

Qingying He, Mingyou Ma, Can Li, Wei Liu

引用次数: 0

摘要

本研究探讨了迭代和交互式方法的潜力，以了解网络交通动态并优化考虑时变随机交通的收费策略。一个可行的...

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Learning and managing stochastic network traffic dynamics: an iterative and interactive approach

This study examines the potential of an iterative and interactive approach to learn network traffic dynamics and optimise tolling strategies considering time-varying stochastic traffic. A tractable...

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来源期刊

Transportmetrica B-Transport Dynamics TRANSPORTATION SCIENCE & TECHNOLOGY-

CiteScore

5.00

自引率

21.40%

发文量

期刊介绍： Transportmetrica B is an international journal that aims to bring together contributions of advanced research in understanding and practical experience in handling the dynamic aspects of transport systems and behavior, and hence the sub-title is set as “Transport Dynamics”. Transport dynamics can be considered from various scales and scopes ranging from dynamics in traffic flow, travel behavior (e.g. learning process), logistics, transport policy, to traffic control. Thus, the journal welcomes research papers that address transport dynamics from a broad perspective, ranging from theoretical studies to empirical analysis of transport systems or behavior based on actual data. The scope of Transportmetrica B includes, but is not limited to, the following: dynamic traffic assignment, dynamic transit assignment, dynamic activity-based modeling, applications of system dynamics in transport planning, logistics planning and optimization, traffic flow analysis, dynamic programming in transport modeling and optimization, traffic control, land-use and transport dynamics, day-to-day learning process (model and behavioral studies), time-series analysis of transport data and demand, traffic emission modeling, time-dependent transport policy analysis, transportation network reliability and vulnerability, simulation of traffic system and travel behavior, longitudinal analysis of traveler behavior, etc.