Road Crash losses have been on an growing trend for the preceding decade or so in India. consequently traffic safety organization has emerged as a topic of argument for researchers all over the world. For this reason Crash modeling on different factors causing them has to be conducted. Crash modelling helps to anybody to recognize the real causative agents behind an accident to occur. The effect of one cause can be greater than the other. And those causes can only be known from Crash modelling. In this paper it is tried try to divide this Crash modelling techniques into different categories based on the road geometrics characteristics, traffic characteristics and Environmental factors on urban roads and on rural roads of different developed countries. In both urban and rural road crash studies it can be seen that for the most part regression techniques like linear, multi-linear, logit and poisons regression were used for modelling the road crashes. It was also noticeable that frequently authors have tried to research on one reason and go profound into it to a certain extent considering all factors at a time. From the study of different researches the attention was paid to the safety effects of road environment such as traffic flow, lane width, number of accesses, speed and road connectors. In this paper it is tried to review as much papers as possible and various gaps in research along with future possibility of study in this area has been indicated. Starting from the basic models like Simple/Multiple regression model to the logistic and linear regressions to the new modeling techniques involving Negative Binomial/Zero inflated modelling, genetic mining and fuzzy logics have been discussed in the paper.
| Published in | American Journal of Traffic and Transportation Engineering (Volume 2, Issue 2) |
| DOI | 10.11648/j.ajtte.20170202.11 |
| Page(s) | 10-25 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Road Crash, Traffic Flow, Geometric Characteristics, Regression Modelling, Road Safety
| [1] | Shankar, V., Mannering, F. and Woodrow, B. (1994) “Effect of roadway geometrics and environmental factors on rural freeway accident frequencies”, Accident Analysis and Prevention., Vol. 27, pp. 371-389. |
| [2] | Fridstrom, L., Ifver, J., Ingebrigtsen, S., Kumala, R., Krogsgard Thomsen, L., (1995). Measuring the contribution of randomness, exposure, Weather, and day light to the Variation in road accident counts. Accident. Anal. Prev. 27, 1-20. |
| [3] | Hadi, M. A., Aruldhar, J., Chow, L., Wattlewort, J. A., (1995). Estimating safety effects of cross section design of cross section design for various highway types using Negative Binomial regression. Tranp. Res. Rec., 1500. |
| [4] | Vogt, A. and Bared, J., (1998) “Accident models for two-lane rural segment and intersections”, Transport Research Record 1635, pp. 18-29. |
| [5] | Persaud, B., Retting, R. A, Lyon, C., (2000) Guidelines for the identification of Hazardous Highway Curves. Tranp. Res. Rec. 1717, 14-18. |
| [6] | Abdel-Aty, M. A., Essam Radwan, E. A., (2000). Modeling traffic accident occurrence and involvement. Accid. Anal. Prev 32, 633-642. |
| [7] | Karlaftis, G. M. and Golias, D. (2002) “Development of comprehensive accident models for two-lane rural highways using exposure, geometry consistency and context variables”, Accident Analysis and Prevention, Vol. 34, pp. 357-365. |
| [8] | Martin, J. L, (2002). Relationship crash rate and hourly traffic flow on interurban motorways. Accid. Anal. Prev. 34, 619-629. |
| [9] | Glob, T. F., Recker, W. W., (2003) Relationship among urban freeway accidents, traffic flow, weather, and lighting conditions. J. Trasp. Eng. 129, 342-353. |
| [10] | Graham, D. J., and Glaister, S. (2003) Spatial variation in road pedestrian casualties: the role of urban scale. Density and Land-use Mix. Urban Studies, Vol. 48(8), pp. 1591-1607. |
| [11] | Griebe, P. (2003) Accident prediction models for urban roads. Accident Analysis and Prevention, Vol. 35, pp. 273–285. |
| [12] | Golob, T. F., Recker, W. W., Alvarez, V. M., (2004). Toll to evaluate safety effect of changes in freeway traffic flow. J. Transp. Engg. 130 (2). |
| [13] | Hauer, E., (2004) a. Statistical road safety modeling. In: Proceddings of the 83rd TRB Annual Meeting, Washington, DC, USA. January 11-15. |
| [14] | Hauer, E., (2004 b) Safety models for urban four-lane undivided road segments. In: Proceddings of the 83rd TRB Annual Meeting, Washington, DC, USA. January 11-15. |
| [15] | Seunglim Kang, Seongkwark, M. L. and Tshnangho, J. K., (2005) “A GIS based traffic accident analysis on highways using alignment related risk Indices”, Transportation Research Board., Annual meeting CDROM. |
| [16] | Noland, R. B., Quddus, M. A., (2005). Congestion and safety: a Spatial analysis of London. Transportation Research Part A: Policy and Practice 39(7-9) 737-754. |
| [17] | Aguero-Valverde, J., and Jovanis, P. P. (2006) Spatial analysis of fatal and injury crashes in Pennsylvania. Accident Analysis and Prevention, Vol. 38, pp. 618-625. |
| [18] | Basyonny, E. K. and Sayed, T.. (2006) “Collision prediction model using multivariate Poisson log normal regression”, Accident analysis and Prevention., Vol. 41, pp. 34-45. |
| [19] | Yannis, G., Elonora, P. and Constantinor, A., (2007) “Multilevel modeling for the regional effect of enforcement of road accidents”, Accident Analysis and Prevention., Vol. 39, pp. 818-825. |
| [20] | Yannis, G., John, G., and Elonora, P., (2010) “Modeling crossing behavior and accident risk of pedestrians”, Journal of Transportation Engineering, ASCE., Vol. 133, pp. 634-644. |
| [21] | Wong, S. C., Sze, N. N. and Li Y. C., (2007) “Contributory factors to traffic crashes at signalized intersections in Hong Kong”, Accident Analysis and Prevention., Vol. 39, pp. 1107-1113, 2007. |
| [22] | Rengarasu, T. M., Hagiwara, T., and Hirasawa, M. (2007) Effects of road geometry and season on head-on and single-vehicle collisions on rural two lane roads in Hokkaido, Japan. Journal of the Eastern Asia Society for Transportation Studies, Vol. 7, pp. 2860-2872. |
| [23] | Haneen Farah, Abishaipolus and Moshi, A., (2007) “Multivariate analysis for infrastructure based crash prediction model for rural highway”, Accident Analysis and Prevention., Vol. 41, pp. 887-894. |
| [24] | Haneen Farah, Shioma, B., and Polus, A., (2009) “Risk evaluation by modeling of passing behavior on two- lane rural highway”, Accident Analysis and Prevention, Vol.41, pp. 887-894. |
| [25] | Nikiforos Stamatiadis, Dominique Lord and Jerry, P., (2010) “Safety impact of design element trade-offs for multilane rural highways”, Journal of Transportation Engineering, ASCE., Vol. 35, pp. 1-24. |
| [26] | Quddus, A. M., Chao Wang and Stephen, G. I., (2010) “Road traffic congestion and crash severity: Econometric analysis using ordered response models”, Journal of Transportation Engineering, ASCE., Vol. 136, No.5, pp. 424-435. |
| [27] | Wedagama, D. M. P., and Dissanayake, D. (2010) The influence of accident related factors on road fatalities considering Bali province in Indonesia as a case study. Journal of Eastern Asia Society for Transportation studies, Vol. 8, pp. 1905-1917. |
| [28] | Haque, Md. M., Chin, H. C., and Lim, B. C. (2010) Effects of impulsive sensation seeking, aggression and risk-taking behaviors on the vulnerability of motorcyclists. Asian Transport Studies, Vol. 1, pp. 165-180. |
| [29] | Chiou, Y., Lan, L. L., and Chen, W. (2010) Contributory factors to crash severity in Taiwan’s freeways: genetic mining rule approach. Journal of the Eastern Asia Society for Transportation Studies, Vol.8, pp. 1865-1877. |
| [30] | Mustakim, F., and Fujita, M. (2011) Development of accident predictive model for rural roadway. World Academy of Science, Engineering and Technology, Vol. 58, pp. 126-131. |
| [31] | Sayed, T., Abdelwahab, W. and Navin, F., (1995) ‘Identifying accident –prone locations using fuzzy pattern recognition”, ASCE Journal of Transportation Engineering., Vol-121, No.4, pp.352-358. |
| [32] | Sayed, T. and Abdelwahab, W., (1997)“Using accident correct ability to identify accident prone locations”, Journal of Transportation Engineering, ASCE., Vol-123, No.4, pp.107-113. |
| [33] | Milton and Mannering, (1998) “The relationship among highway geometrics, traffic related elements and motor-vehicle accident frequencies”, Journal of Transportation, Vol.25, No.4, pp. 395-413. |
| [34] | Saccomanno, F. F., Grossi, R., Greco, D. and Mehmood, A., (2001) “Identifying black spots along highway SS107 in Southern Italy using two model”, Journal of Transportation Engineering, ASCE., Vol. 127, No.5, pp. 515-522. |
| [35] | Ossenbruggen, J. P., Pedharkar, J. and Ivan, N. J., (2001) “Roadway safety in rural and small urbanized areas”, Accident Analysis and Prevention, Vol. 33, pp. 485-498. |
| [36] | Ashur, A. S. (2003) “Evaluation of the national strategic plan for the traffic safety in UAE Transportation Research Board., Annual Meeting CDROM. |
| [37] | Xiao Qin, Ivan, N. J. and Nalini, R., (2003) “Selecting exposure measures in crash rate prediction for two-lane highway segments”, Accidents Analysis and Prevention., Vol. 36, pp. 183-191. |
| [38] | Xiao Qin, Ivan, N. J., Ravishankar, N. and Junfeng, Liu, (2005)“Hierarchical Bayesian estimation of safety performance functions for two-lane highways using Markov chain Monte Carlo modeling”, Journal of Transportation Engineering, ASCE., Vol.131, pp: 345-351. |
| [39] | Girma Berhanu, (2004) “Models relating traffic safety with road environment and traffic flows on arterial roads in Addis Ababa”, Elsevier., Vol.36, pp. 697-704. |
| [40] | Jutaek oh, Simon., W., and Keechoochoi, (2004) “Development of accident prediction models for rural highways intersections”, Transportation Research Board., Annual meeting CD-ROM. |
| [41] | Mohamadreza Banihashemi, Dimaiuta and Michael, (2005) “Maximizing safety improvement benefits in crash prediction models with accident modification factors (AMFs)”, Transportation Research Board., Annual Meeting CD-ROM. |
| [42] | Minwook, Kang, Taehyzingkim and Tceolwoong Doh, (2005) “A new methodology to determine length of highway horizontal curve sections for accident estimation model”, Transportation Research Board., Annual Meeting CD-ROM. |
| [43] | Jun-Seok Oh, Cheol Oh and Stephen, (2005) “Real time estimation of accident likelihood for safety enhancement”, Journal of Transportation Engineering, ASCE., Vol.131, No.5, pp. 358-363. |
| [44] | Dominique Lord and Bonneson, A. J. (2006) “Role and application of accident modification factors (AMFs) within the highway Design process, “Transportation Research Board., Annual Meeting CD-ROM. |
| [45] | Pardillo, M. J., Rafael, B. and Alberto, (2006) “Refinement of accident prediction models for the Spanish national network” Transportation Research Board., Annual Meeting CD-ROM. |
| [46] | Akgungor, P. A., and Osman Yildiz (2007) “Sensitivity analysis of an accident prediction model by the fractional method”, Accident Analysis and Prevention., Vol.39, pp. 63-68. |
| [47] | Ciro Caliendo, Maurizio Guida and Alessadra Parisi (2007)“A crash prediction model for multilane route”, Accident Analysis and Prevention., Vol. 39, pp. 657-670. |
| [48] | Haneen Farah, Shioma, B., and Polus, A., (2009) “Risk evaluation by modeling of passing behavior on two-lane rural highway”, Accident Analysis and Prevention, Vol.41, pp. 887-894. |
| [49] | Yi (Grace) Qi, Smith, L. B. and Jianhan, G., (2007) “Freeway accident likelihood prediction using a panel data analysis approach”, Journal of Transportation Engineering, ASCE., Vol-133, pp. 149-155. |
| [50] | Lovegrove, G., Clarklim, M. and Sayed, T., (2010) “Community-based, macro level collision prediction model: use with a regional transportation plan”, Journal of Transportation Engineering, ASCE., Vol.136, pp. 120-128. |
| [51] | Kay Fitzpatrick, Dominique Lord and Byung-Jung, P., (2010) “Horizontal curve accident modification factor with consideration of driveway density on rural four-lane highway in Texas”, Journal of Transportation Engineering, ASCE., Vol-136, No.9, pp. 827-835. |
| [52] | Salvatore Cafiso, Alessandro, D. G. and Grazia, B.(2010) “Development of comprehensive model for two-lane rural highways using exposure, geometry, consistency and context variables”, Accident Analysis and Prevention, pp. 1052-10. |
| [53] | Seva, R. R., Flores, G. M. T., and Gotohio, M. P. T. (2012) Logit model of motorcycle accidents in the Philippines considering personal and environmental factors. International Journal for Traffic and Transport Engineering, Vol. 3(2), pp. 173-184. |
| [54] | Obaidat, M. T., and Ramadan, T. M. (2012) Traffic accidents at hazardous locations of urban roads. Jordan Journal of Civil Engineering, Vol.6(4), pp. 436-447. |
| [55] | Anowar, S., Alam, Md. D., and Raihan, Md. A. (2013) Analysis of accident patterns at selected intersections of an urban arterial. Proc. of 21stITCT Workshop, Melbourne. |
| [56] | Solomon, D. and Cirillo, J. A., (1974) “Accidents on main rural highways related to speed, driver and vehicle”, Federal Highway Administration., Washington, D. C. |
| [57] | Garber Gadhiraju, (1988) “Factors affecting speed variance and its influence on accidents”, Transportation Research Record., No.1213, pp. 64-71. |
| [58] | John Collins G. and Helen, S., Tzivelou, (1998) “Aspects of road-accident death analysis”, Journal of Transportation Engineering, ASCE., Vol.118, No.2, pp. 299-311. |
| [59] | Kloeden, C. N., Ponte, G., and McLean A. J. (2001) Travelling speed and the risk of crash involvement on rural roads. Department of Transport and Regional Services Australian Transport Safety Bureau, Report no. CR 204, ISSN 1445-4467. |
| [60] | Karlaftis, G. M. and Golias, D., (2002) “Development of comprehensive accident models for two-lane rural highways using exposure, geometry consistency and context variables”, Accident Analysis and Prevention, Vol. 34, pp. 357-365. |
| [61] | Taylor, M. C., Lynam, D. A., and Baruya, A. (2000) The effects of drivers’ speed on the frequency of road accidents. Transport Research Laboratory Report 421, ISSN 0968-4107. |
| [62] | Hills, B. L., Baguley, C. J., and Kirk, S. J. (2002) Cost and safety efficient design study of rural roads in developing countries. Transport Research Laboratory, Project Report PR/INT/242/02. |
| [63] | Xuedong Yan, Essam, R., Mohamed, A. A., (2005) “Characteristics of rear-end accidents at signal intersections using multiple logistic regressions Model”, Accident Analysis and Prevention., Vol. 37, pp, 983-995. |
| [64] | Letty, A. and Ingrid Van, S., (2006)“Driving speed and the risk of road crashes”, Accident Analysis and Prevention, Vol.38, pp. 215-224. |
| [65] | Goldenbeld, and Ingrid Van Schagen, (2007) “The credibility of speed limit of80 kmph on rural roads: The effects of road and person(ality)characteristics”, Accident Analysis and Prevention., Vol. 39, pp. 1121-1130. |
| [66] | Chanyu Kong and Jikuang Yang, (2010) “Logistic regression analysis of pedestrian causality risk in passenger vehicle collisions in China”, Accident Analysis and Prevention, Vol. 42, pp. 987-993. |
| [67] | Surenchen and Fengchen, (2010) “Simulation-based assessment of vehicle safety behavior under hazardous driving conditions”, Accident Analysis and Prevention, Vol.136, No.4, pp.304-315. |
| [68] | Wael, H. A. and Bruce, N. J.(1998) “Prediction models for truck accidents at freeway ramps in Washington State using regression and A Techniques”, Transportation Research Board 1635., pp. 30-36. |
| [69] | Lynn Meuleners, (2006) “Estimating crashes involving heavy vehicles in Western Australia”, Accident Analysis and Prevention, Vol.38, No.1, pp. 170-174. |
| [70] | Landge, V. S., Parida, M. and Jain, S. S., (2006)“Modeling traffic accidents on two- lane rural highway under mixed traffic conditions”, Transportation Research Board., Annual Meeting CD-ROM. |
| [71] | Joon-Kikim, Yinhai Wang and Ularsson, F. G., (2007) “Modeling the probability of freeway rear-end crash occurrence”, journal of Transportation Engineering, ASCE., Vol.133, No.1, pp.11-19. |
| [72] | Janine Duke, (2010) “Age-related safety in professional heavy vehicle drivers”, Accident Analysis and Prevention”, Vol.42, No.2, pp.364-371. |
| [73] | Sravani Vadlamani, Erdoong Chen, and Washington, S., (2011) “Identifying large truck hot spots using crash counts and PDOE”, Journal of Transportation Engineering, ASCE., Vol.137, No.1, pp. 11-20. |
| [74] | Fridstrom and Ingridgen, (1991) “Multilevel modeling for the regional effect of enforcement of road accidents”, Accident Analysis and Prevention., Vol. 39, pp. 818-825. |
| [75] | Ogden, K. W., (1997) “The effects of paved shoulders on accidents on rural highways”, Accident Analysis and Prevention., Vol. 29, pp. 353-362. |
| [76] | John Collins, Kay Fitzpatric, Bauer, M. K. and Douglas W. H. (1998), “Speed variability on rural two-lane highways”, Transportation Research Board, Washington D. C., pp. 1-16. |
| [77] | Ivan, N. J., Chunyan Wang and Bernardo, R. N., (1999) “Explaining two-lane highway crash rates using land use and hourly exposure”, Accident Analysis and Prevention., Vol. 32, pp. 787-795. |
| [78] | Hassan, Y., Gibreel, G. and Easa, S. M., (2000) “Evaluation of highway consistency and safety practical application”, ASCE Journal of Transportation Engineering., Vol-126, pp. 193-200. |
| [79] | Feiyuan, Xia Quin, Norman, W. G. and Christian, F. D. (2000) “Safety benefits of intersection approach realignment on rural two-lane highways”, Transportation Research Record 1758, pp. 21-29. |
| [80] | Hassan, T., Abdel Wahab and Abdel-Aty, A. M., (2001) “Development of artificial neural network models to predict driver injury severity in traffic accidents at signalized intersections”, Transport Research Record1746., pp. 6-13. |
| [81] | Noland, B. R., (2001) “Traffic fatalities and Injuries: Are reductions the result of improvements in highway design?”. Transportation Research Board., Annual Meeting, Washington, DC. |
| [82] | Jean-Louis, M. and Robert, Q., (2001) “Cross over crashes at median strips equipped with barriers on a French motor way network”, Transportation Research Record 1758, pp.6-12. |
| [83] | Christo J Bester (2003) “The effect of road roughness on safety “Transportation Research Board., Annual Meeting CD-ROM. |
| [84] | Clark, E. D. and Cushing, M. B. (2004) “Rural urban traffic fatalities, vehicle miles, and population density”, Accident Analysis and Prevention., Vol. 36, pp. 967-972. |
| [85] | Moore, E. J., Ginliano, G. and Seongkil cho, (2004) “Secondary accident rates on Los Angeles Freeways”, Journal of Transportation Engineering, ASCE., Vol-130, pp. 280-285. |
| [86] | Casaer Filip, Geert Wets and Thomas, I. (2004) “Road traffic accident clustering with categorical attributes”, Transportation Research Board., Annual meeting CD-ROM. |
| [87] | Vivian Robert, R. and Veeraragavan, A., (2004) “Hazard rating scores for prioritization of accident prone sections on highways”, Transportation Research Board., Annual Meeting CD-ROM. |
| [88] | FilipVan Den Bossche, Geert Wets and Tom Brijis (2004) “A regression model with ARMA errors to investigate the frequency and severity of road traffic accidents”, Transportation Research Board., Annual Meeting CD-ROM. |
| [89] | Pei Lin and Hsien-Guo Young, (2004) “A neural network approach on studying the effect of urban signalized intersection characteristics on occurrence of traffic accidents”, Transportation Research Board., Annual Meeting CD-ROM. |
| [90] | Kumara, S. S. P. and Chin, H. C., (2004) “A study of petal traffic accidents in Asia Pacific countries”, Transportation Research Board., Annual Meeting CD-ROM. |
| [91] | Khaled, A. Abbas, (2004) “Traffic safety assessment and development of predictive models for accidents on rural roads in Egypt”, Accident Analysis and Prevention., Vol.36, pp. 149-163. |
| [92] | Rune Elvik, (2006) “A new approach to accident analysis for hazardous road locations”, Transportation Research Board., Annual Meeting CDROM. |
| [93] | Karl Kim, Made Brunner and Eric Yamashita, (2006) “The influence of land use, population, employment and economic activity of accidents,” Transportation Research Board., Annual Meeting CD-ROM. |
| [94] | Qadeer, M. A., (2006) “Road accident prediction models developed from a national database; Poisson and negative binomial regressions”, Transportation Research Board., Annual Meeting CD-ROM. |
| [95] | Richard Tay, Upal Barna and Lina Kattan, (2009) “Factors contributing hit and-run in fatal crashes”, Accident Analysis and Prevention., Vol.41, pp.227-233. |
| [96] | Yuanchang Xie, Yunlong, Z., Faming, L., Joon-kikim, Yinhai, W. andUlarsson, F. G., (2009) “Modeling the probability of freeway rear-end crash occurrence”, Journal of Transportation Engineering, ASCE., Vol.133, No.1, pp.11-19. |
| [97] | Lovegrove, G., Clarklim, M. and Sayed, T., (2010) “Community-based, macro level collision prediction model: use with a regional transportation plan”, Journal of Transportation Engineering, ASCE., Vol.136, pp.120-128. |
| [98] | Yannis, G., John, G., and Elonora, P., (2010) “Modeling crossing behavior and accident risk of pedestrians”, Journal of Transportation Engineering, ASCE., Vol. 133, pp. 634-644. |
| [99] | Clark, E. D. (2010) “Older driver’s perception and acceptance of in-vehicle devices for traffic safety and traffic efficiency”, Journal of Transportation Engineering, ASCE., Vol.136, pp. 472-479. |
| [100] | Dominique Lord and Bonneson, A. J. (2006) “Role and application of accident modification factors (AMFs) within the highway Design process, “Transportation Research Board., Annual Meeting CD-ROM. |
| [101] | Deogratias, Vamsikrishna and Peter Honey (2010) “Identification of risk factors associated with motorcycle related fatalities in Ohio”, Journal of Transportation Engineering, ASCE., Vol.4, pp. 1-13. |
| [102] | Xiugang Li, Dominique, L., and Yunlong, Z., (2011) “Development of accident modification factors for rural frontage road segments in Texas using Generalized Additive Models”, Journal of Transportation Engineering, ASCE., Vol. 137. pp. 74-83. |
| [103] | Niveditha. v, Ramesh. A, Kumar. M., (2015) “ Development of models for crash prediction and collision Estimation-A case study for Hyderabad City”, International Journal of Transportation Engineering vol3/No.2/Spring. |
| [104] | Naveenkumar. C, Manoranjan Parida., Jain S. S., (2016) “Identifying safety factors Associated with crash Frequency and severity on Non urban Four lane Highway Stretch in india,”. Journal of Transportation Safety &Security. |
APA Style
Bangaram Naga Kiran, Nekkanti Kumaraswamy, Chundupalli Sashidhar. (2017). A Review of Road Crash Prediction Models for Developed Countries. American Journal of Traffic and Transportation Engineering, 2(2), 10-25. https://doi.org/10.11648/j.ajtte.20170202.11
ACS Style
Bangaram Naga Kiran; Nekkanti Kumaraswamy; Chundupalli Sashidhar. A Review of Road Crash Prediction Models for Developed Countries. Am. J. Traffic Transp. Eng. 2017, 2(2), 10-25. doi: 10.11648/j.ajtte.20170202.11
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Download@article{10.11648/j.ajtte.20170202.11,
author = {Bangaram Naga Kiran and Nekkanti Kumaraswamy and Chundupalli Sashidhar},
title = {A Review of Road Crash Prediction Models for Developed Countries},
journal = {American Journal of Traffic and Transportation Engineering},
volume = {2},
number = {2},
pages = {10-25},
doi = {10.11648/j.ajtte.20170202.11},
url = {https://doi.org/10.11648/j.ajtte.20170202.11},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajtte.20170202.11},
abstract = {Road Crash losses have been on an growing trend for the preceding decade or so in India. consequently traffic safety organization has emerged as a topic of argument for researchers all over the world. For this reason Crash modeling on different factors causing them has to be conducted. Crash modelling helps to anybody to recognize the real causative agents behind an accident to occur. The effect of one cause can be greater than the other. And those causes can only be known from Crash modelling. In this paper it is tried try to divide this Crash modelling techniques into different categories based on the road geometrics characteristics, traffic characteristics and Environmental factors on urban roads and on rural roads of different developed countries. In both urban and rural road crash studies it can be seen that for the most part regression techniques like linear, multi-linear, logit and poisons regression were used for modelling the road crashes. It was also noticeable that frequently authors have tried to research on one reason and go profound into it to a certain extent considering all factors at a time. From the study of different researches the attention was paid to the safety effects of road environment such as traffic flow, lane width, number of accesses, speed and road connectors. In this paper it is tried to review as much papers as possible and various gaps in research along with future possibility of study in this area has been indicated. Starting from the basic models like Simple/Multiple regression model to the logistic and linear regressions to the new modeling techniques involving Negative Binomial/Zero inflated modelling, genetic mining and fuzzy logics have been discussed in the paper.},
year = {2017}
}
TY - JOUR T1 - A Review of Road Crash Prediction Models for Developed Countries AU - Bangaram Naga Kiran AU - Nekkanti Kumaraswamy AU - Chundupalli Sashidhar Y1 - 2017/07/13 PY - 2017 N1 - https://doi.org/10.11648/j.ajtte.20170202.11 DO - 10.11648/j.ajtte.20170202.11 T2 - American Journal of Traffic and Transportation Engineering JF - American Journal of Traffic and Transportation Engineering JO - American Journal of Traffic and Transportation Engineering SP - 10 EP - 25 PB - Science Publishing Group SN - 2578-8604 UR - https://doi.org/10.11648/j.ajtte.20170202.11 AB - Road Crash losses have been on an growing trend for the preceding decade or so in India. consequently traffic safety organization has emerged as a topic of argument for researchers all over the world. For this reason Crash modeling on different factors causing them has to be conducted. Crash modelling helps to anybody to recognize the real causative agents behind an accident to occur. The effect of one cause can be greater than the other. And those causes can only be known from Crash modelling. In this paper it is tried try to divide this Crash modelling techniques into different categories based on the road geometrics characteristics, traffic characteristics and Environmental factors on urban roads and on rural roads of different developed countries. In both urban and rural road crash studies it can be seen that for the most part regression techniques like linear, multi-linear, logit and poisons regression were used for modelling the road crashes. It was also noticeable that frequently authors have tried to research on one reason and go profound into it to a certain extent considering all factors at a time. From the study of different researches the attention was paid to the safety effects of road environment such as traffic flow, lane width, number of accesses, speed and road connectors. In this paper it is tried to review as much papers as possible and various gaps in research along with future possibility of study in this area has been indicated. Starting from the basic models like Simple/Multiple regression model to the logistic and linear regressions to the new modeling techniques involving Negative Binomial/Zero inflated modelling, genetic mining and fuzzy logics have been discussed in the paper. VL - 2 IS - 2 ER -
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