利用有限随机停放策略，为无桩共享单车系统中的电栅栏摆放设计在线学习算法

IF 3.3 2区工程技术 Q2 TRANSPORTATION

Transportmetrica B-Transport Dynamics Pub Date : 2024-04-26 DOI:10.1080/21680566.2024.2346645

Yixiao Liu, Zihao Tian, Zhiyuan Liu, Lixin Tian

引用次数: 0

摘要

无桩共享单车停放在城市的各个角落，经常被放错位置，既侵犯了城市公共空间，又产生了公共成本。为解决这一问题，现有的电栅栏技术已被广泛应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

查看原文本刊更多论文

Designing online learning algorithms for electric fence placement in dockless bike-sharing system utilizing limited random parking strategies

Dockless shared bicycles, parked and frequently misplaced throughout the city, infringe upon urban public spaces and incur public costs. To address this issue, existing electric fence technology ha...

求助全文

通过发布文献求助，成功后即可免费获取论文全文。去求助

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.