摘要
针对城市中心区域停车位需求量大,但可供停车的空间有限,导致停车难问题,依据现代交通管理理论,采用了实地调查与数据分析相结合的方法。通过对城市停车需求、交通流量及停车管理现状的深入研究,建立了科学的停车组织优化模型,并提出了相应的策略。通过引入动态定价机制和智能引导系统,可实现停车资源的高效配置和交通流的有序引导。
This article optimizes the design of urban roadside parking traffic organization based on measured data.Firstly,a detailed introduction was given to the data sources and collection methods to ensure the accuracy and reliability of the data.Secondly,process and analyze the collected data to provide a basis for optimizing design.In the optimization design section,evaluations are conducted from three aspects:the number,utilization rate,and distribution of parking spaces,in order to provide strong support for the optimization of urban roadside parking traffic organization,alleviate urban traffic congestion problems,improve road capacity,and provide better parking services for citizens.
作者
沈营
SHEN Ying(Shenzhen Road Traffic Management Affairs Center,Shenzhen,Guangdong 518067,China)
出处
《黑龙江交通科技》
2024年第7期138-141,共4页
Communications Science and Technology Heilongjiang
关键词
实测数据
路边停车
交通组织
优化分析
measured data
roadside parking
traffic organization
optimization analysis