Modelling motorized and non-motorized vehicle conflicts using multiagent inverse reinforcement learning approach

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2024-02-17 DOI:10.1080/21680566.2024.2314762

Yan Liu, Rushdi Alsaleh, Tarek Sayed

引用次数: 0

Abstract

Microsimulation models are effective for analysing road users’ interaction behaviour and assessing different facilities’ performance. However, only a few studies have developed simulation models fo...

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利用多代理反强化学习法模拟机动车和非机动车冲突

微观模拟模型对于分析道路使用者的互动行为和评估不同设施的性能非常有效。然而，只有少数研究为道路使用者的互动行为开发了模拟模型。

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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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.