基于强化学习的大型街道网络路由算法

IF 4.3 1区 地球科学 Q1 COMPUTER SCIENCE, INFORMATION SYSTEMS International Journal of Geographical Information Science Pub Date : 2023-12-11 DOI:10.1080/13658816.2023.2279975
Diya Li, Zhe Zhang, Bahareh Alizadeh, Ziyi Zhang, Nick Duffield, Michelle A. Meyer, Courtney M. Thompson, Huilin Gao, Amir H. Behzadan
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引用次数: 0

摘要

疏散计划和应急路线系统对于在灾害期间拯救生命至关重要。传统的应急路由系统,尽管尽了最大的努力,往往难以准确地捕获…
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A reinforcement learning-based routing algorithm for large street networks
Evacuation planning and emergency routing systems are crucial in saving lives during disasters. Traditional emergency routing systems, despite their best efforts, often struggle to accurately captu...
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来源期刊
CiteScore
11.00
自引率
7.00%
发文量
81
审稿时长
9 months
期刊介绍: International Journal of Geographical Information Science provides a forum for the exchange of original ideas, approaches, methods and experiences in the rapidly growing field of geographical information science (GIScience). It is intended to interest those who research fundamental and computational issues of geographic information, as well as issues related to the design, implementation and use of geographical information for monitoring, prediction and decision making. Published research covers innovations in GIScience and novel applications of GIScience in natural resources, social systems and the built environment, as well as relevant developments in computer science, cartography, surveying, geography and engineering in both developed and developing countries.
期刊最新文献
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