Empirical Study of Complex Vehicular Interactions At A Junction

International Journal of Civil Engineering
© 2020 by SSRG - IJCE Journal
Volume 7 Issue 9
Year of Publication : 2020
Authors : Daud Khan, Abu Bakar Khalid, Zain Ud Din, Qamar Abbas
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How to Cite?

Daud Khan, Abu Bakar Khalid, Zain Ud Din, Qamar Abbas, "Empirical Study of Complex Vehicular Interactions At A Junction," SSRG International Journal of Civil Engineering, vol. 7,  no. 9, pp. 17-21, 2020. Crossref, https://doi.org/10.14445/23488352/IJCE-V7I9P103

Abstract:

Driver behavior is investigated at the aerial road, where two different roads meet each other at the junction. The performance measurement of congestion such as speed, time headway, and the saturated flow rate is calculated. Their influences due to change in the road's geometric properties under heterogeneous flow conditions were analyzed in this study. Vehicles are more stimulus to merging traffic and is the leading cause of congestion at junction. It is concluded that speed stimulates time headway and driver interaction at junctions, which results in a capacity drop and increases the risk of accidents. Field data is recorded at a three-leg intersection. Speed drops upstream while the vehicle downstream accelerates easily to attain the desirable speed ahead.

Keywords:

Speed, Time Headway, Driver Behaviour, Junction, Heterogeneous Flow.

References:

[1] Park, T., Kim, M., Jang, C., Choung, T., Sim, K.A., Seo, D., and Chang, S.. The Public Health Impact of Road-Traffic Noise in a Highly-Populated City, Republic of Korea: Annoyance and Sleep Disturbance'. Sustainability, 10(8) (2018) 2947.
[2] Yi, H., and Mulinazzi, T.E.,. Urban freeway on-ramps: Invasive influences on main-line operations. Transportation Research Record, 2023(1)(2007) 112-119.
[3] Biswas, S., Chakraborty, S., Ghosh, I., and Chandra, S.,. Saturation flow model for signalized intersection under mixed traffic conditions. Transportation Research Record, 2672(15)(2018) 55-65.
[4] Zeng, J.W., Qian, Y.S., Wei, X.T. and Feng, X.,. Traffic flow velocity disturbance characteristics and Control strategy at the bottleneck of the expressway. Chinese Physics B, 27(12)(2018) 124502.
[5] Al-Obaedi, J.,. Investigation of the Effect of Speed Humps on Merging Time of U-turn Traffic. Ain Shams Engineering Journal, 10(1)(2019) 1-4.
[6] Skabardonis, A., Papadimitriou, F., Halkias, B., and Kopelias, P.,. Operational Analyses of Freeway Off-Ramp Bottlenecks. Transportation Research Procedia, 15,(2016) 573-582.
[7] Manual, H.C.. Highway capacity manual. Washington, DC, 2. (2000).
[8] Alhajyaseen, W.K., Asano, M., and Nakamura, H.. Left-turn gap acceptance models considering pedestrian movement characteristics: accident Analysis & Prevention, 50(2013) 175-185.
[9] Moridpour, S.. Evaluating the time headway distributions in congested highways. Journal of Traffic and Logistics Engineering, 2(3)( 2014).
[10] W. Imran, M. Alam, M. T. Khan, and W. A. Khan, Impact of Heavy Vehicles on the Average Speed and Average, no. 02, 39–44.
[11] Ahn, S., Cassidy, M.J., and Laval, J.A.. Effects of Merging and Diverging on Freeway Traffic Oscillations. In the 11th World Conference on Transport Research Society.( 2007). [12] H Khan, Z., Imran, W., Azeem, S., S Khattak, K., Gulliver, T.A. and Aslam, M.S.. A Macroscopic Traffic Model based on Driver Reaction and Traffic Stimuli. Applied Sciences, 9(14)(2019) 2848.
[13] Daisuke, S., Izumi, O., and Fumihiko, N.. On the estimation of vehicular time headway distribution parameters. Traffic Engineering, 34(6)(1999) 18-27.
[14] Khan, Z.H., and Gulliver, T.A.. A macroscopic traffic model based on anticipation. Arabian Journal for Science and Engineering, 44(5)(2019) 5151-5163.
[15] Sangster, J., Rakha, H., and Du, J.,. Application of naturalistic driving data to the modeling of driver car-following behavior. Transportation research record, 2390(1), (2013) 20-33.
[16] Lioris, J., Pedarsani, R., Tascikaraoglu, F.Y., and Varaiya, P., 2017. Platoons of connected vehicles can double throughput in urban roads. Transportation Research Part C: Emerging Technologies, 77(2013) 292-305.
[17] Riccardo, R., and Massimiliano, G.. An empirical analysis of vehicle time headways on rural two-lane two-way roads. Procedia-Social and Behavioral Sciences, 54(2012) 865-874.
[18] Akçelik, R., May. The relationship between capacity and driver behavior. In Paper presented at the TRB National Roundabout Conference 18(21)(2008).
[19] Sajid Azeem, Waheed Imran, Gauhar Amin, Mix Use Traffic and Added Impedance Affecting Traffic Flow Variables SSRG International Journal of Civil Engineering 6(3)(2019) 48-50.