Method Article

Evaluating the Effect of Roadside Parking on a Dual-Direction Urban Street

DOI:

10.3791/63384

⸱

January 20th, 2023

 ,  ,  ,  ,  , 
1Highway Academy, Chang’an University, 2School of Modern Posts (Logistics School) & Institute of Posts, Xi’an University of Posts and Telecommunications

In This Article

Summary

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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.

Abstract

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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

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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

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1. Preparation of the equipment

  1. 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)

  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.
  2. Ensure that the location does not have any int....

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Results

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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

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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

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The authors have nothing to disclose.

Acknowledgements

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The authors would like to acknowledge the Scientific Research Program Funded by Shaanxi Provincial Education Department (Program No. 21JK0908).

....

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Materials

List of materials used in this article
NameCompanyCatalog NumberComments
batteryShenzhen Saiqi Innovation Technology Co., LtdLPB-568S
cables for radarBEIJING AOZER TECH & DEVELOPMENT CO.,LTD
cables for roadside laser deviceMicroSense
cameraSony Group CorpHDR-CS680
camera tripodSony Group Corp
droneSZ DJI Technology Co.,Ltd.DA2SUE1
laptopDellC2H2L82
radarBEIJING AOZER TECH & DEVELOPMENT CO.,LTDCADS-0037
radar tripodBEIJING AOZER TECH & DEVELOPMENT CO.,LTD
reflective tripodBeijing Shunan liandun Technology Co., Ltd
roadside laser deviceMicroSense

References

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  1. China Statistical Yearbook. National Bureau of Statistics. , Available from: http://www.stats.gov.cn/tjsj./ndsj/ (2020).
  2. He, Y. X. A traffic capacity model of lane occupation. Applied Mechanics and Materials. 599-601, 2083-2087 (2014).
  3. Hua, S. Y., Wang, J. L., Zhu, Y.

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Tags

Roadside ParkingUrban Street TrafficTraffic Data CollectionDual Direction StreetSimulation ModelVehicle TrajectoryPassing Vehicle SpeedQueue Length AnalysisTraffic Volume ImpactEmissions Evaluation

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