Increasing traffic demand has already reached the capacity of existing traffic facilities in most cities. In order to alleviate the traffic pressure and expand the capacity of the road network, constructing flyovers has become an effective way in most cities in China. During the period of the flyover construction, work zones occupy road space, impact traffic flow characteristics and driver behaviour; therefore, this causes a significant reduction of the capacity. Researching of the traffic flow characteristics during the period of flyover construction can improve traffic organization and traffic safety around work zones. This study analyses the traffic flow characteristics around the flyover work zone based on the site data collected in Hohhot City, China. This study shows that the traditional Logistic model for the equilibrium speed-density relationship is not applied to the traffic flow around the flyover work zone. Based on an in-depth analysis of the traffic flow characteristics and specific driver behaviours, this paper proposes an improved Logistic model to depict the equilibrium speed-density relationship around the flyover work zone. To analyse the mathematical characteristics of the speed-density relationship, this paper proposes a method to insert virtual data points into the initial data, which can make the fit curve be continuous.
Enberg A, Mannan MS. Capacity and Traffic Characteristics at a Freeway Work Zone in Finland. Proceedings of the 3rd International Symposium on Highway Capacity; 1998 June 22-26; Copenhagen, Denmark; 1998. p. 397-421.
Sisiopiku VP, Lyles RW, Krunz M, Yang Q, Akin D, Abbasi M. Study of Speed Patterns in Work Zones. Proceedings of the 78th Transportation Research Board Annual Meeting, Washington, D.C.; 1999.
Jiang Y. Traffic Capacity, Speed and Queue-Discharge Rate of Indiana’s Four-Lane Freeway Work Zone. Indiana Department of Transportation Division of Research; 1999.
Zhou M, Wu B, Gai S. Micro-simulation of Factors Affecting Passing Capacity in Freeway Maintenance Work Zones [in Chinese]. Computer and Communications. 2004;22(6):54-57.
Radhakrishnan RV, Sun C, et al. Traffic Flow Characteristics of a Congested Work Zone in Missouri. Proceedings of the 2007 Mid-Continent Transportation Research Symposium; 2007 August 16–17; Ames, lowa; 2007.
Chen Y, Shao C. Simulation for Work Zone Traffic Capacity [in Chinese]. Communications Standardization. 2010;23:190-194.
Meng Q, Weng J. An improved cellular automata model for heterogeneous work zone traffic. Transportation Research Part C: Emerging Technologies. 2011;19(6):1263-1275.
Weng J, Meng Q. Effects of environment, vehicle and driver characteristics on risky driving behaviour at work zones. Safety Science. 2011;50(4):1034-1042.
Hong Y, Ozbay K, Ozturk O, Yildirimoglu M. Modeling work zone crash frequency by quantifying measurement errors in work zone length. Accident Analysis & Prevention. 2013;55:192-201.
Weng J, Meng Q, Yan X. Analysis of work zone rear-end crash risk for different vehicle-following patterns. Accident Analysis and Prevention. 2014;72:449-457.
Xie G, Liu D, Xu X. Traffic organization and design around urban flyover work zones [in Chinese]. Urban Roads Bridges & Flood Control. 2014;46-56.
Weng J, Xue S, Yang Y, Yan X, Qu X. In-depth analysis of drivers’ merging behaviour and rear-end crash risks in work zone merging areas. Accident Analysis & Prevention. 2015;77:51-61.
Wang H, Li Y, Chen Q-Y, Ni D. Logistic modeling of the equilibrium speed–density relationship. Transportation Research Part A: Policy and Practice. 2011;45(6):554-566.
Underwood RT. Speed, Volume, and Density Relationship: Quality and Theory of Traffic Flow. New Haven, Connecticut: Yale Bureau of Highway Traffic; 1961. p. 141-188.
Guest Editor: Eleonora Papadimitriou, PhD
Editors: Dario Babić, PhD; Marko Matulin, PhD; Marko Ševrović, PhD.
Accelerating Discoveries in Traffic Science |
2024 © Promet - Traffic&Transportation journal