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Evaluation the effect of some traffic characteristics on the safety performance of intersections. | ||
| Anbar Journal of Engineering Sciences | ||
| Article 5, Volume 11, Issue 2, 2020, Pages 130-136 PDF (2.23 M) | ||
| Document Type: Research Paper | ||
| DOI: 10.37649/aengs.2023.176832 | ||
| Authors | ||
| Mohammed H. Mhana* 1; Khalid Hardan Alwani2; Akram S. Mahmoud3 | ||
| 1Civil Engineering, College of Engineering, University of Anbar, | ||
| 2Construcion and Projects Departmentg, Presidency of University, University of Anbar, | ||
| 3Civil Engineering, College of Engineering, University of Anbar | ||
| Abstract | ||
| Traffic accidents and traffic delay have a negative impact on the mobility traffic flow due to their huge costs on the transport system. Thus one of the main primary aims for transport policy makers are reducing the negative effect of traffic accidents and traffic delay on the road network. In this study, fixed and random parameters Tobit models have been developed to model the accident rates from 20 intersections in Al-Karakh district in Baghdad City, Iraq. The safety significant of logarithm of annual average daily traffic, the percentage of heavy vehicles and the delay time for both major and minordirections for each intersection on the accident rates were evaluated. The main finding of this study shows that delay has an important effect on traffic accident rates of intersections. Regarding to the effect of other factors on traffic Accident rates, the result of the model shows that the logarithm of annual average daily flow, the percentage of heavy vehicles for both major and minor directions of the intersection are positively associated with more accident rates. | ||
| Keywords | ||
| Randam parameters Tobit model; intersection delay; accident rate safety function | ||
| References | ||
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[1] Abdel-Aty, M. and Haleem, K., 2011. Analyzing angle crashes at unsignalized intersections using machine learning techniques. Accident Analysis and Prevention, 43(1), pp. 461–470.
[2] Barua, U., Azad, A., Tay, R., 2010. Fatality risks of intersection crashes in rural undivided highways of Alberta, Canada. Transp. Res. Rec. 2148, 107–115.
[3] Bhat, C., 2003. Simulation estimation of mixed discrete choice models using randomized and scrambled Halton sequences. Transportation Research Part B 37 (1), 837–855.
[4] Das, A. and Abdel-Aty, M. A., 2011. A combined frequency-severity approach for the analysis of rear-end crashes on urban arterials. Safety Science, 49(8–9), pp. 1156–1163.
[5] Dong, C., Nambisan, S.S., Richards, S.H. and Ma, Z., 2015. Assessment of the effects of highway geometric design features on the frequency of truck involved crashes using bivariate regression. Transportation Research Part A: Policy and Practice, 75, pp. 30–41.
[6] Elvik, R., 2006. Laws of accident causation. Accident Analysis andPrevention 38 (4), 742–747.
[7] Greene, W. (2003) Econometric analysis. Pearson Education India.
[8] Greene, W., 2007. Limdep, Version 9.0. Econometric Software Inc., Plainview, NY.
[9] Lord, D., Manar, A., Vizioli, A., 2005. Modeling crash-flow-density and crash-flow- V/C ratio relationships for rural and urban freeway segments. Accident Analysis and Prevention 37 (1), 185–199.
[10] Milton, J. and Mannering, F., 1998. The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies. Transportation, 25(4), pp. 395–413. | ||
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