基于智能体的可选停车位选择策略仿真

IF 0.5 4区工程技术 Q4 ENGINEERING, INDUSTRIAL

South African Journal of Industrial Engineering Pub Date : 2020-08-30 DOI:10.7166/31-2-2314

M. Lall

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引用次数: 1

摘要

试图在停车场找到一个停车位是我们社会中大多数人的日常活动。然而，在管理车辆使用者数目持续增长的情况下，对这类泊车设施的需求可能会持续受到压力。停车场的使用者和管理者都采用不同的策略来满足停车设施的需求。本文提出了一种基于智能体建模技术的计算模型，对不同需求和供给条件下两种常用的停车位选择策略进行了仿真。该模型在当前文献中是独一无二的，因为它是专门设计来评估策略的有效性。对实验结果的分析表明，在大多数情况下，接受第一个可用停车位然后步行到目的地比尽可能靠近目的地然后寻找可用停车位更好。

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

AN AGENT-BASED SIMULATION OF AN ALTERNATIVE PARKING BAY CHOICE STRATEGY

Trying to find a parking space in a parking lot is a routine activity for most people in our society. However, in managing the sustained growth rate in the number of vehicle users, the demand on such parking facilities is likely to remain under constant pressure. Both the users and the management of parking lots use various strategies in dealing with the requirement for suitable parking facilities. This paper presents a computational model using an agent-based modelling technique to simulate two commonly used strategies applied to choosing a parking spot under various demand and supply conditions. The model is unique in the current literature, as it is specifically designed to evaluate the effectiveness of the strategies. The analysis of the experimental results shows that, in most conditions, accepting the first available parking spot and then walking to the destination performed better than driving as close as possible to the destination and then searching for an available parking spot.

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来源期刊

South African Journal of Industrial Engineering 工程技术-工程：工业

CiteScore

1.10

自引率

20.00%

发文量

审稿时长

6 weeks

期刊介绍： The South African Journal of Industrial Engineering (SAJIE) publishes articles with the emphasis on research, development and application within the fields of Industrial Engineering and Engineering and Technology Management. In this way, it aims to contribute to the further development of these fields of study and to serve as a vehicle for the effective interchange of knowledge, ideas and experience between the research and training oriented institutions and the application oriented industry. Articles on practical applications, original research and meaningful new developments as well as state of the art surveys are encouraged.