A numerical model for impacts of left-turn non-motorized vehicles on through lane capacity metrics

• Autorzy: He Lieyun , Lin Xinming , Liu Qiang , Tao Jason X

Identyfikatory

DOI

10.5604/01.3001.0014.4199

• Języki publikacji: EN

Abstrakty

EN

There is a conflict between through motor vehicles and the left-turn non-motorized vehicles, and the capacity of straight-line motor vehicles decreases. This study analyzes the impacts of left-turn non-motorized vehicles on the capacity of through motor vehicle lanes. A correction coefficient model for calculating the reduced capacity of through motor vehicle lanes has been developed based on analysis of the conflicting points at an intersection and the negative exponential function of traffic flow distribution. With consideration of intersection geometric design, channelization, and traffic characteristics, the cor-rection coefficient model was further enhanced by regression to capture the impacts of left-turn non-motorized vehicles from the same and the opposite directions. A simulation with VISSIM is used to validate the developed model. It shows that the calculated capacity from the correction coefficient model is close to the simulation results. The experiment indicates that the derived model is highly accurate in calculating the capacity of through motor vehicle lanes and has potential application for situations of mixed traffic in China. The study shows that the capacity of a through traffic lane at the permitted phase decreases with the increase of left-turning non-motorized vehicles, and the impact of left-turning non-motorized vehicles from the same direction is more significant. The results show that the traffic capacity of straight-line motor vehicle decreases with the increase of the left-turn non-motorized vehicles flow rate and the influence of the left-turn non-motor vehicle is more obvious. It is suggested that in practice, the correction coefficient of non-motor vehicle on the left turn should be 0.88, and the correction coefficient on the left turn should be 0.95, respectively. The study recommends coefficient values for both non-motorized vehicles from the same and opposite directions for use in real applications.

Słowa kluczowe

EN

traffic design; signalized intersection; permissive phase; traffic lane capacity; regression analysis

PL

projektowanie ruchu; skrzyżowanie sygnalizowane; faza permisywna; przepustowość pasów ruchu; analiza regresji

• Wydawca: Warsaw University of Technology, Faculty of Transport
• Czasopismo: Archives of Transport
• Rocznik: 2020
• Tom: Vol. 55, iss. 3
• Strony: 7--16
• Opis fizyczny: Bibliogr. 18 poz., rys., tab., wykr.

Twórcy

autor

He Lieyun

• Department of Transportation Management and Engineering, Zhejiang Police Collage, China

autor

Lin Xinming

• International School, Zhejiang Police Collage, China

autor

Liu Qiang

• Big data-based Key Laboratory of the Ministry of Public Security, Zhejiang Police College, China

autor

Tao Jason X

• Washington D.C. Department of Transportation, USA

Bibliografia

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• [14] ZHANG, S., HE, K., 2014. Expansion Effect of Left Turning Mixed Bicycle Flow and Vehicle-Bicycle Conflict at Intersections. Journal of Ningbo University of Technology, 26(02), 7-11.
• [15] XU, L.,WU, C., YANG, Z., 2001. The Methods of Computing the Capacity of Signalized Intersection. Journal of Traffic and Transportation Engineering, 01, 82-85.
• [16] YUAN, J., YUAN, Z., 2006. Comparison Analysis of Calculation Methods for Traffic Capacity at Signal Junction. Technology of Highway and Transport, 05, 123-128+132.
• [17] WOJTAL, R. M., RILETT, L. R., 2017. Development of a statistically-based methodology for analyzing automatic safety treatments at isolated high-speed signalized intersections. Archives of Transport, 44(4), 75-88.
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Uwagi

PL

Opracowanie rekordu ze środków MNiSW, umowa Nr 461252 w ramach programu "Społeczna odpowiedzialność nauki" - moduł: Popularyzacja nauki i promocja sportu (2020)