Analysis of vehicle-type-specific headways on two-lane roads with mixed traffic
Time headway is an important microscopic traffic flow parameter, which affects safety, level-of-service, capacity and traffic simulation. It is, therefore, important to know the specific distribution for a particular roadway and traffic condition. Further, headway between two vehicles depends on the type of lead vehicle and is influenced by its size and dynamics. Such impact is considerably high on two-lane roads with mixed traffic composed of a wide variety of vehicle types. This paper identified sixteen combinations of vehicle pairs and analysed vehicle-type-specific headways using field data. Appropriate distribution functions were fitted to field data and predictive models were used in understanding carfollowing behaviour. Observations indicate that quite often bike riders become reluctant in obeying lane discipline. However, car drivers show conservative attitude and usually, keep safe distance from the lead vehicle except the case when they follow another car. In addition, while following Non-Motorized Vehicles (NMV), most of the drivers keep reasonably safe distances. In this paper, a comparison of computed headway probabilities was also made with those obtained from more or less homogeneous traffic. It was found that values obtained in current study are high in most of the instances. This indicates risk-taking behaviour of driver population, which eventually affects safety of such roads. The present study, thus, demonstrates the need of investigating vehicle-type-specific headways under mixed traffic based on comprehensive field data.
First published online 7 January 2021
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Al-Ghamdi, A. S 2001. Analysis of time headways on urban roads: case study from Riyadh, Journal of Transportation Engineering 127(4): 289–294. https://doi.org/10.1061/(ASCE)0733-947X(2001)127:4(289)
Arasan, V. T.; Koshy, R. Z. 2003. Headway distribution of heterogeneous traffic on urban arterials, Journal of the Institution of Engineers (India): Civil Engineering Division 84: 210–215.
Branston, D. 1976. Models of single lane time headway distributions, Transportation Science 10(2): 125–148. https://doi.org/10.1287/trsc.10.2.125
Chandra, S.; Kumar, R. 2001. Headway modelling under mixed traffic on urban roads, Road and Transport Research 10(1): 61–71.
Cowan, R. J. 1975. Useful headway models, Transportation Research 9(6): 371–375. https://doi.org/10.1016/0041-1647(75)90008-8
Dey, P. P; Chandra, S. 2009. Desired time gap and time headway in steady-state car-following on two-lane roads, Journal of Transportation Engineering 135(10): 687–693. https://doi.org/10.1061/(ASCE)0733-947X(2009)135:10(687)
Dong, S.; Wang, H.; Hurwitz, D.; Zhang, G.; Shi, J. 2015. Nonparametric modeling of vehicle-type-specific headway distribution in freeway work zones, Journal of Transportation Engineering 141(11): 05015004. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000788
Greenberg, I. 1966. The log-normal distribution of headways, Australian Road Research 2(7): 14–18.
Jang, J.; Park, C.; Kim, B.; Choi, N. 2011. Modeling of time headway distribution on suburban arterial: case study from South Korea, Procedia – Social and Behavioral Sciences 16: 240–247. https://doi.org/10.1016/j.sbspro.2011.04.446
Khasnabis, S.; Heimbach, C. L. 1980. Headway-distribution models for two-lane rural highways, Transportation Research Record: Journal of the Transportation Research Board 772: 44–51.
Kominek, Z. 2002. Minimum chi-squared estimation of stable distributions parameters: an application to the Warsaw stock exchange, Journal of Applied Statistics 29(5): 729–744. https://doi.org/10.1080/02664760120098793
Kumar, V. M.; Rao, S. K. 1998. Headway and speed studies on two-lane highways, Indian Highways 26(5): 23–36.
Luttinen, R. T. 1999. Properties of Cowan’s M3 headway distribution, Transportation Research Record: Journal of the Transportation Research Board 1678: 189–196. https://doi.org/10.3141/1678-23
Luttinen, R. T. 1996. Statistical Analysis of Vehicle Time Headways. Dissertation for the Degree of Doctor of Technology. Helsinki University of Technology, Finland. 193 p. Available from Internet: http://lib.tkk.fi/Diss/199X/isbn951228474X/isbn951228474X.pdf
May, A. D. 1990. Traffic Flow Fundamentals. Prentice Hall. 464 p.
Mei, M.; Bullen, A. G. R. 1993. Lognormal distribution for high traffic flows, Transportation Research Record: Journal of the Transportation Research Board 1398: 125–128.
Myung, J. I. 2003. Tutorial on maximum likelihood estimation, Journal of Mathematical Psychology 47(1): 90–100. https://doi.org/10.1016/S0022-2496(02)00028-7
Panichpapiboon, S. 2015. Time-headway distributions on an expressway: case of Bangkok, Journal of Transportation Engineering 141(1): 05014007. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000731
Penmetsa, P.; Ghosh, I.; Chandra, S. 2015. Evaluation of performance measures for two-lane intercity highways under mixed traffic conditions, Journal of Transportation Engineering 141(10): 04015021. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000787
Peeta, S.; Zhang, P.; Zhou, W. 2005. Behavior-based analysis of freeway car–truck interactions and related mitigation strategies, Transportation Research Part B: Methodological 39(5): 417–451. https://doi.org/10.1016/j.trb.2004.06.002
Riccardo, R.; Massimiliano, G. 2012. An empirical analysis of vehicle time headways on rural two-lane two-way roads, Procedia – Social and Behavioral Sciences 54: 865–874. https://doi.org/10.1016/j.sbspro.2012.09.802
Saha, P.; Roy, R.; Sarkar, A. K.; Pal, M. 2019. Preferred time headway of drivers on two-lane highways with heterogeneous traffic, Transportation Letters: the International Journal of Transportation Research 11(4): 200–2007. https://doi.org/10.1080/19427867.2017.1312859
Saha, P.; Roy, N.; Sarkar, A. K.; Pal, M. 2017a. Speed distribution on two-lane rural highways with mixed traffic: a case study in North East India, Journal of The Institution of Engineers (India): Series A 98(1-2): 107–113. https://doi.org/10.1007/s40030-017-0208-0
Saha, P.; Sarkar, A. K.; Pal, M. 2017b. Evaluation of speed–flow characteristics on two-lane highways with mixed traffic, Transport 32(4): 331–339. https://doi.org/10.3846/16484142.2015.1004369
Tanyel, S.; Yayla, N. 2003. A discussion on the parameters of Cowan M3 distribution for Turkey, Transportation Research Part A: Policy and Practice 37(2): 129–143. https://doi.org/10.1016/S0965-8564(02)00009-5
Vasconcelos, L.; Bastos Silva, A.; Seco, Á.; Silva, J. 2012. Estimating the parameters of Cowan’s M3 headway distribution for roundabout capacity analyses, The Baltic Journal of Road and Bridge Engineering 7(4): 261–268. https://doi.org/10.3846/bjrbe.2012.35
Wang, X.; Peng, Z. 2014. Method of moments for estimating uncertainty distributions, Journal of Uncertainty Analysis and Applications 2: 5. https://doi.org/10.1186/2195-5468-2-5
Weng, J.; Meng, Q.; Fwa, T. F. 2014. Vehicle headway distribution in work zones, Transportmetrica A: Transport Science 10(4): 285–303. https://doi.org/10.1080/23249935.2012.762564
Ye, F.; Zhang, Y. 2009. Vehicle type–specific headway analysis using freeway traffic data, Transportation Research Record: Journal of the Transportation Research Board 2124: 222–230. https://doi.org/10.3141/2124-22
Yin, S.; Li, Z.; Zhang, Y.; Yao, D.; Su, Y.; Li, L. 2009. Headway distribution modeling with regard to traffic status, in 2009 IEEE Intelligent Vehicles Symposium, 3–5 June 2009, Xi’an, China, 1057–1062. https://doi.org/10.1109/IVS.2009.5164427
Zhang, G.; Wang, Y. 2014. A Gaussian kernel-based approach for modeling vehicle headway distributions, Transportation Science 48(2): 206–216. https://doi.org/10.1287/trsc.1120.0451
Zhang, G.; Wang, Y.; Wei, H.; Chen, Y. 2007. Examining headway distribution models with urban freeway loop event data, Transportation Research Record: Journal of the Transportation Research Board 1999: 141–149. https://doi.org/10.3141/1999-15