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Investigating the driver’s response time at signalized intersections

Abstract

It is generally accepted that, behavioural variables may show differences in different countries, and sometimes in different regions depending on cultural and other socio-economic factors. In literature, several researchers have emphasized that performance of signalized intersections is highly related with drivers’ behaviour. However, only a few parameters can be used to reflect drivers’ behaviour in performance analysis. Start response time is used as a key parameter in calibration of analytical and simulation models. In this study, a detailed analysis is conducted on the variability of start response time with respect to parameters like those that manoeuvre type, cycle time, gender of drivers’, etc. by using data obtained from signalized intersections in İzmir, Turkey. Analysis showed that left and right turning drivers have slightly shorter start response times than all through passing vehicles. In addition, the effect of start response time on base saturation flow is discussed.


First published online 14 November 2016 

Keyword : signalized intersections, headway, start response time, saturation flow, lognormal distribution, regression analysis

How to Cite
Çalişkanelli, P., & Tanyel, S. (2018). Investigating the driver’s response time at signalized intersections. Transport, 33(2), 380–388. https://doi.org/10.3846/16484142.2016.1250106
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Jan 26, 2018
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This work is licensed under a Creative Commons Attribution 4.0 International License.

References

Akçelik, R.; Besley, M.; Roper, R. 1999. Fundamental Relationships for Traffic Flows at Signalised Intersections. Research Report ARR 340. ARRB Transport Research Ltd., Vermont South, Australia. 194 p.

Bonneson, J. A. 1992. Modeling queued driver behavior at signalized junctions, Transportation Research Record: Journal of the Transportation Research Board 1365: 99–107.

Calışkanelli, S. P. 2010. Sinyalizasyon Sistemlerinden Ayrılan Araçların Takip Aralığı Dağılımının İncelenmesi: Doktora Tezi. Dokuz Eylül Üniversitesi, Fen Bilimleri Enstitüsü. 130 s. Available from Internet: http://acikerisim.deu.edu.tr/xmlui/bitstream/handle/12345/9204/283662.pdf (in Turkish).

Clement, S. J.; Taylor, M. A. P.; Yue, W. L. 2004. Simple platoon advancement: a model of automated vehicle movement at signalized intersections, Transportation Research Part C: Emerging Technologies 12(3–4): 293–320. http://doi.org/10.1016/j.trc.2004.07.012

Highway Capacity Manual. 2010. Transportation Research Board. 5th edition. 1650 p.

ITE. 1994. Determination of Vehicle Signal Change and Clearance Intervals. Publication IR-073. An Informational Report of the Institute of Transportation Engineers (ITE). Washington, DC. 16 p.

Jin, X.; Zhang, Y.; Wang, F.; Li, L.; Yao, D.; Su, Y.; Wei, Z. 2009. Departure headways at signalized intersections: a log-normal distribution model approach, Transportation Research Part C: Emerging Technologies 17(3): 318–327. http://doi.org/10.1016/j.trc.2009.01.003

Koppa, R. J. 2001. Human factors, in N. H. Gartner, C. J. Messer, A. K. Rathi (Eds.). Traffic Flow Theory: A State-of-the-Art Report, 3-1–3-32.

Li, H.; Prevedouros, P. 2002. Detailed observations of saturation headways and start-up lost times, Transportation Research Record: Journal of the Transportation Research Board 1802: 44–53. http://doi.org/10.3141/1802-06

Long, G. 2005. Start-up delays of queued vehicles, Transportation Research Record: Journal of the Transportation Research Board 1934: 125–131. http://doi.org/10.3141/1934-13

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

Mehmood, A.; Easa, S. M. 2009. Modeling reaction time in car-following behaviour based on human factors, International Journal of Civil, Environmental, Structural, Construction and Architectural Engineering 3(9): 325–333.

Messer, C. J.; Fambro, D. B. 1977. Effects of signal phasing and length of left-turn bay on capacity, Transportation Research Record: Journal of the Transportation Research Board 644: 95–101.

Qu, X.; Zhang J.; Liu Z. 2014. Modelling follow up time at a single-lane roundabout, Journal of Traffic and Transportation Engineering (English Edition) 1(2): 97–102. http://doi.org/10.1016/S2095-7564(15)30093-3

Roess, P. R.; Prassas, E. S.; McShane, W. R. 2010. Traffic Engineering. 4th edition. Pearson. 744 p.

SIRC. 2004. Sex Differences in Driving and Dnsurance Risk: an Analysis of Social and Psychological Differences Between Men and Women that are Relevant to Their Driving Behaviour. Social Issues Research Centre (SIRC). 24 p. Available from Internet: http://www.sirc.org/publik/driving.pdf

Sivak, M; Schoettle, B. 2011. Toward understanding on-road interactions of male and female drivers, Traffic Injury Prevention 12(3): 235–238. http://doi.org/10.1080/15389588.2011.562945

Tong, H. Y.; Hung, W. T. 2002. Neural network modeling of vehicle discharge headway at signalized intersection: model descriptions and results, Transportation Research Part A: Policy and Practice 36(1): 17–40. http://doi.org/10.1016/S0965-8564(00)00035-5

TSS. 2010. Aimsun 6.1 Users’ Manual. Transport Simulation Systems (TSS) 2005–2010. Available from Internet: http://www.aimsun.com