In this study, the effect of roadside parking on an urban street is analyzed. The entire process consists of traffic data gathering, data processing, operation simulation, simulation calibration, and sensitivity analysis.
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Method Article
Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street
In This Article
Summary
Abstract
Roadside parking is a common traffic phenomenon in China. Narrow urban streets, high parking demands, and a shortage of parking lots force the public to engage in random parking along the roadside. A protocol is proposed to determine the impact of a roadside-parked vehicle on passing vehicles. In this investigation, a dual-direction and two-lane urban street in which one vehicle is parked on the roadside is selected for the collection of traffic data. Based on these data, the impact of the roadside-parked vehicles on the trajectory and speed of passing vehicles is determined. In addition, a microsimulation model is applied to determine the impact of roadside parking on the maximum queue length, delay, emissions, and other indicators under different traffic volumes according to the sensitivity analysis. The results show that roadside-parked vehicles affect the trajectory of passing vehicles for approximately 80 m and have a negative effect on speed, with the lowest speed being observed at the location of the roadside-parked vehicle. The sensitivity analysis results suggest that traffic volume increases synchronously with indicator values. The protocol provides a method for determining the effect of roadside parking on travel trajectory and speed. The research contributes to the refined management of future roadside parking.
Introduction
The acceleration of urbanization is accompanied by an obvious increase in motor vehicle ownership and urban traffic flow. In 2021, China's car ownership reached 378 million, representing an increase of 25.1 million compared to that in 20201. However, the current situation with insufficient road capacity and limited traffic management technology has led to an increasingly evident discrepancy between urban traffic supply and demand. Therefore, road traffic congestion has gradually intensified. As the most widespread problem in urban transportation, traffic congestion causes many hazards and has attracted wide attention from researchers
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Protocol
1. Preparation of the equipment
- Ensure that all the equipment required is available: radars, roadside laser device, laptops, batteries, a camera, a drone, a reflective tripod, the corresponding cables, and device tripods.
2. Selection of the data collection location (Figure 1)
- Select the data collection location. Ensure the location selected is on a two-direction and two-lane road.
NOTE: The location choice is key in this research. The two-lane width is easy to observe. - Ensure that the location does not have any int....
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Results
This paper presents a protocol to determine the effect of roadside parking on passing vehicles on a two-direction and two-lane urban road through traffic data collection and simulation. A road was selected as the study site (Figure 1), and a vehicle was parked at the planned roadside location. Radars, a roadside laser device, and a camera were applied to collect the vehicle trajectory, speed, volume, and type composition to determine the changes in vehicle trajectory and speed under roadside.......
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Discussion
The effect of roadside parking on urban streets cannot be ignored, and random parking needs to be addressed30,31. A protocol to determine the impact of roadside parking on traffic flow in a dual-direction urban street is presented here. The data collection specifies the trajectory and speed changes of passing vehicles caused by roadside parking. The traffic simulation quantifies roadway indices such as maximum queue length, delay, and emissions.
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Disclosures
The authors have nothing to disclose.
Acknowledgements
The authors would like to acknowledge the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 21JK0908).
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Materials
| Name | Company | Catalog Number | Comments |
|---|---|---|---|
| battery | Shenzhen Saiqi Innovation Technology Co., Ltd | LPB-568S | |
| cables for radar | BEIJING AOZER TECH & DEVELOPMENT CO.,LTD | ||
| cables for roadside laser device | MicroSense | ||
| camera | Sony Group Corp | HDR-CS680 | |
| camera tripod | Sony Group Corp | ||
| drone | SZ DJI Technology Co.,Ltd. | DA2SUE1 | |
| laptop | Dell | C2H2L82 | |
| radar | BEIJING AOZER TECH & DEVELOPMENT CO.,LTD | CADS-0037 | |
| radar tripod | BEIJING AOZER TECH & DEVELOPMENT CO.,LTD | ||
| reflective tripod | Beijing Shunan liandun Technology Co., Ltd | ||
| roadside laser device | MicroSense |
References
- China Statistical Yearbook. National Bureau of Statistics. , Available from: http://www.stats.gov.cn/tjsj./ndsj/ (2020).
- He, Y. X. A traffic capacity model of lane occupation. Applied Mechanics and Materials. 599-601, 2083-2087 (2014).
- Hua, S. Y., Wang, J. L., Zhu, Y.
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