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微观模拟 cruising for parking 对停车和游览测试数据交通效率和排放的影响。

Microscopic Simulating the Impact of Cruising for Parking on Traffic Efficiency and Emission with Parking-and-Visit Test Data.

机构信息

Faculty of Maritime and Transportation, Ningbo University, Fenghua Road 818#, Ningbo 315211, China.

School of Architecture and Transportation, Guilin University of Electronic Technology, Lingjinji Road 1#, Guilin 541004, China.

出版信息

Int J Environ Res Public Health. 2022 Jul 26;19(15):9127. doi: 10.3390/ijerph19159127.

DOI:10.3390/ijerph19159127
PMID:35897491
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9368554/
Abstract

Cruising for parking creates a moving queue of cars that are waiting for vacated parking spaces, but no one can see how many cruisers are in the queue because they are mixed with normal cars. In order to mitigate the influence of cruising for parking on normal cars, the simulation framework based on VISSIM was proposed for reproducing the cruising vehicles and normal traffic flows. The car-following model of cruising vehicles was calibrated by the GPS and video data. The scenarios under different cruising ratios were analyzed to evaluate the influence of cruising for parking on traffic efficiency and emissions. Finally, the layout optimization changing the parking locations and positions of entrance-exit gates were discussed to mitigate the negative effect. The results indicated that cruising for parking deteriorates the traffic congestion and emissions on the road sections, intersections and network. The closer distances the intersections and sections are to the parking lot, the greater the negative impact is. But the negative effect after the 30% proportion on traffic performance only illustrates the slight deterioration, because the carrying capacity of the network is reached. The research results provide a quantitative method for the hidden contribution of cruising for parking on traffic congestion and emissions.

摘要

寻找停车位的车辆形成了一个移动的车队,等待空出的停车位,但由于它们与正常行驶的车辆混合在一起,所以没有人能看到车队中有多少辆车在寻找停车位。为了减轻寻找停车位对正常行驶车辆的影响,提出了基于 VISSIM 的仿真框架,用于再现寻找停车位的车辆和正常交通流。使用 GPS 和视频数据对寻找停车位车辆的跟驰模型进行了校准。分析了不同寻找停车位比例下的场景,以评估寻找停车位对交通效率和排放的影响。最后,讨论了改变停车场位置和进出口位置的布局优化方案,以减轻负面影响。结果表明,寻找停车位会恶化路段、交叉口和网络上的交通拥堵和排放。交叉口和路段离停车场越近,负面影响就越大。但是,交通性能在 30%的比例后受到的负面影响只是轻微恶化,因为网络的承载能力已经达到。研究结果为寻找停车位对交通拥堵和排放的隐性贡献提供了一种定量方法。

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