The impact of basic traffic flow characteristics on traffic accident occurrence on 2-lane rural roads in Serbia
DOI: https://doi.org/10.3846/transport.2025.20543Abstract
Basic traffic flow characteristics, such as volume and speed, represent the key criteria for estimating the level of service and traffic safety. Numerous studies have been conducted with the aim of determining the impact of the basic traffic flow characteristics on traffic accident occurrence. However, the mutual impact of traffic volume and speed characteristics has not been examined to a sufficient degree. Therefore, the authors of the article analysed the mutual impact of average annual daily traffic (AADT), share of heavy vehicles in the traffic flow (%HV) and speed parameters (such as speed variance $\left( \sigma^2_{s} \right)$, average travel speed (ATS), speed limit credibility and percentage of exceeding the speed limit (%ESL) on traffic accident occurrence on Class I 2-lane rural roads in the Serbia. The article analysed spatial distribution and traffic accidents′ severity on homogeneous segments equipped with automatic traffic counters, which provided data on speeds and other traffic flow characteristics during a 5-year period. The application of generalised linear models led to the development of 3 negative binomial models with an natural logarithm (ln) link function for the (1) total number of traffic accidents (ACT), (2) property damage only accidents (ACPDO) and (3) injury and fatality accidents (ACI&F). The obtained results show that 3 variables are statistically significant in all 3 final models: (1) AADT, (2) $\sigma^2_{s}$ and (3) difference between the free-flow speed and speed limit $\left( \small\Delta S_{ff - {lim}} \right)$. All variables included in the final models are positively associated with the dependent variable. In other words, the rise of the values of AADT, $\sigma^2_{s}$ and $\small\Delta S_{ff - {lim}}$ variables increases the expected number of traffic accidents. The variable related to the %HV is statistically significant in the models related to the ACT and traffic accidents with injuries and fatalities, and it is positively associated with the expected traffic accident number.
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traffic flow, automatic traffic counter, average annual daily traffic, speed variance, 2-lane rural road, speed limit credibilityHow to Cite
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References
Aarts, L.; Van Schagen, I. 2006. Driving speed and the risk of road crashes: a review, Accident Analysis & Prevention 38(2): 215–224. https://doi.org/10.1016/J.AAP.2005.07.004
Cafiso, S.; Di Graziano, A.; Di Silvestro, G.; La Cava, G.; Persaud, B. 2010. Development of comprehensive accident models for two-lane rural highways using exposure, geometry, consistency and context variables, Accident Analysis & Prevention 42(4): 1072–1079. https://doi.org/10.1016/J.AAP.2009.12.015
Chen, T.; Sze, N. N.; Chen, S.; Labi, S.; Zeng, Q. 2021. Analysing the main and interaction effects of commercial vehicle mix and roadway attributes on crash rates using a Bayesian random-parameter Tobit model, Accident Analysis & Prevention 154: 106089. https://doi.org/10.1016/J.AAP.2021.106089
Elvik, R.; Christensen, P.; Amundsen, A. 2004. Speed and road accidents: an evaluation of the Power Model. TOI Report No 740/2004. Institute of Transport Economics, Oslo, Norway. 148 p. Available from Internet: https://www.toi.no/publications/speed-and-road-accidents-an-evaluation-of-the-power-model-article17882-29.html
Fildes, B.; Lee, S. 1993. The Speed Review: Road Environment, Behaviour, Speed Limits, Enforcement and Crashes. Monash University Accident Research Centre, Clayton, Victoria, Australia. 151 p. Available from Internet: https://www.monash.edu/__data/assets/pdf_file/0005/216473/atsb127.pdf
Fildes, B. N.; Rumbold, G.; Leening, A. 1991. Speed Behaviour and Drivers′ Attitude to Speeding. Report No 16. Monash University Accident Research Centre, Clayton, Victoria, Australia. 106 p. Available from Internet: https://www.monash.edu/__data/assets/pdf_file/0003/216426/muarc016.pdf
Fitzpatrick, K.; Miaou, S.-P.; Brewer, M.; Carlson, P.; Wooldridge, M. D. 2005. Exploration of the Relationships between operating speed and roadway features on tangent section, Journal of Transportation Engineering 131(4): 261–269. https://doi.org/10.1061/(ASCE)0733-947X(2005)131:4(261)
Garber, N. J.; Gadiraju, R. 1989. Factors affecting speed variance and its influence on accidents, Transportation Research Record 1213: 64–71. Available from Internet: https://onlinepubs.trb.org/Onlinepubs/trr/1989/1213/1213-009.pdf
Gardner, D. J.; Rockwell, T. H. 1983. Two views of motorist behavior in rural freeway construction and maintenance zones: the driver and the state highway patrolman, Human Factors: the Journal of the Human Factors and Ergonomics Society 25(4): 415–424. https://doi.org/10.1177/001872088302500407
GDi LOCALIS Visios. 2025. Integrisana baza podataka o obeležjima bezbednosti saobraćaja. Beograd, Srbija. Available from Internet: http://195.222.99.60/ibbsPublic/ (in Serbian).
Goldenbeld, C.; Van Schagen, I. 2007. The credibility of speed limits on 80 km/h rural roads: The effects of road and person(ality) characteristics, Accident Analysis and Prevention 39(6): 1121–1130. https://doi.org/10.1016/J.AAP.2007.02.012
Hadi, M. A.; Aruldhas, J.; Chow, L.-F.; Wattleworth, J. A. 1995. Estimating safety effects of cross-section design for various highway types using negative binomial regression, Transportation Research Record 1500: 169–177. Available from Internet: https://onlinepubs.trb.org/onlinepubs/nchrp/cd-22/references/anovasafety.pdf
Hashim, I. H. 2011. Analysis of speed characteristics for rural two-lane roads: a field study from Minoufiya Governorate, Egypt, Ain Shams Engineering Journal 2(1): 43–52. https://doi.org/10.1016/J.ASEJ.2011.05.005
Hashim, I. H. 2006. Safety and the Consistency of Geometry and Speed on Rural Single Carriageways. PhD Thesis. University of Newcastle upon Tyne, UK. 296 p.
Homburger, W. S.; Hall, J. W.; Reilly, W. R.; Sullivan, E. C. 2007. Fundamentals of Traffic Engineering. 16th Edition. University of California, Berkeley, US. 465 p. Available from Internet: https://escholarship.org/uc/item/1vp7t2dp
Imprialou, M.-I. M.; Quddus, M.; Pitfield, D. E.; Lord, D. 2016. Re-visiting crash–speed relationships: a new perspective in crash modelling, Accident Analysis & Prevention 86: 173–185. https://doi.org/10.1016/J.AAP.2015.10.001
Kanellaidis, G.; Golias, J.; Zarifopoulos, K. 1995. A survey of drivers′ attitudes toward speed limit violations, Journal of Safety Research 26(1): 31–40. https://doi.org/10.1016/0022-4375(94)00025-5
Kloeden, C. N.; McLean, A. J.; Moore, V. M.; Ponte, G. 1997. Travelling Speed and the Risk of Crash Involvement – Volume 1: Findings. Report No CR 172. Federal Office of Road Safety, Canberra, Australia. 69 p. Available from Internet: https://www.infrastructure.gov.au/sites/default/files/migrated/roads/safety/publications/1997/pdf/Speed_Risk_1.pdf
Kloeden, C. N.; Ponte, G.; McLean, A. J. 2001. Travelling Speed and Risk of Crash Involvement on Rural Roads. Report No CR 204. Department of Transport and Regional Services, Australian Transport Safety Bureau, Canberra, Australia. 61 p. Available from Internet: https://www.infrastructure.gov.au/sites/default/files/migrated/roads/safety/publications/2001/pdf/Rural_Speed_1.pdf
Lamm, R.; Choueiri, E. M.; Mailaender, T. 1990. Comparison of operating speeds on dry and wet pavements of two-lane rural highways, Transportation Research Record 1280: 199–207. Available from Internet: https://onlinepubs.trb.org/Onlinepubs/trr/1990/1280/1280-022.pdf
Lin, F.-B.; Su, C.-W.; Huang, H.-H. 1996. Uniform criteria for level-of-service analysis of freeways, Journal of Transportation Engineering 122(2): 123–129. https://doi.org/10.1061/(ASCE)0733-947X(1996)122:2(123)
Lobo, A.; Jacques, M. A. P.; Rodrigues, C. M.; Couto, A. 2011. Free-gap evaluation for two-lane rural highways, Transportation Research Record: Journal of the Transportation Research Board 2223: 9–17. https://doi.org/10.3141/2223-02
Milton, J.; Mannering, F. 1998. The relationship among highway geometrics, traffic-related elements and motor-vehicle accident frequencies, Transportation 25(4): 395–413. https://doi.org/10.1023/A:1005095725001
Montella, A.; Imbriani, L. L. 2015. Safety performance functions incorporating design consistency variables, Accident Analysis & Prevention 74: 133–144. https://doi.org/10.1016/J.AAP.2014.10.019
Murgan, M. G. 2015. A critical analysis of the techniques for data gathering in legal research, Journal of Social Sciences and Humanities 1(3): 266–274. Available from Internet: http://files.aiscience.org/journal/article/html/70320004.html
Musselwhite, C.; Avineri, E.; Fulcher, E.; Susilo, Y. 2010. Understanding Public Attitudes to Road-User Safety – Literature Review: Final Report. Road Safety Research Report No 112. Department for Transport, London, UK. 116 p. Available from Internet: https://uwe-repository.worktribe.com/output/975717
Nilsson, G. 2004. Traffic Safety Dimensions and the Power Model to Describe the Effect of Speed on Safety. Doctoral Thesis. Lund Institute of Technology, Lund, Sweden. 121 p. Available from Internet: https://portal.research.lu.se/files/4394446/1693353.pdf
OECD. 2006. Speed Management. Organisation for Economic Co-operation and Development (OECD). 285 p. https://doi.org/10.1787/9789282103784-en
Parker, M. R.; Sung, H.-Y.; Dereniewski, L. J. 2003. Review and Analysis of Posted Speed Limits and Speed Limit Setting Practices in British Columbia. Final Report – Spring 2003. Project Number ZZZ2530.01T. British Columbia Ministry of Transportation, Victoria, BC, Canada. 55 p. Available from Internet: https://www2.gov.bc.ca/assets/gov/driving-and-transportation/reports-and-reference/reports-and-studies/planning-strategy-economy/speed-review/speed_review_report.pdf
Poe, C. M.; Tarris, J. P.; Mason, J. M. 1996. Relationship of Operating Speeds to Roadway Geometric Design Speeds. FHWARD-96-024. Federal Highway Administration (FHWA), US Department of Transportation, Washington, DC, US. 268 p.
Quddus, M. 2013. Exploring the relationship between average speed, speed variation, and accident rates using spatial statistical models and GIS, Journal of Transportation Safety & Security 5(1): 27–45. https://doi.org/10.1080/19439962.2012.705232
Solomon, D. 1964. Accidents on Main Rural Highways Related to Speed, Driver, and Vehicle. US Department of Commerce. Bureau of Public Roads, Washington, DC, US. 49 p. Available from Internet: https://rosap.ntl.bts.gov/view/dot/75599
SWOV. 2012. Speed Choice: the Influence of Man, Vehicle, and Road. Institute for Road Safety Research (SWOV), Leidschendam, Netherlands. 6 p. Available from Internet: https://swov.nl/system/files/publication-downloads/fs_speed_choice_archived.pdf
Taylor, M. C.; Lynam, D. C.; Baruya, A. 2000. The Effects of Drivers′ Speed on the Frequency of Road Accidents. Report No TRL421. Transport Research Laboratory, Wokingham, Berkshire, UK. 50 p. Available from Internet: https://www.trl.co.uk/publications/trl421
Teed, N.; Lund, A. K.; Knoblauch, R. 1993. The duration of speed reductions attributable to radar detectors, Accident Analysis & Prevention 25(2): 131–137. https://doi.org/10.1016/0001-4575(93)90052-X
Van Nes, N.; Houtenbos, M.; Van Schagen, I. 2008. Improving speed behaviour: the potential of in-car speed assistance and speed limit credibility, IET Intelligent Transport Systems 2(4): 323–330. https://doi.org/10.1049/IET-ITS:20080036
Van Schagen, I. N. L. G.; Wegman, F. C. M.; Roszbach, R. 2004. Veilige en geloofwaardige snelheidslimieten. Een strategische verkenning [Safe and credible speed limits. A strategic exploration]. Rapportnummer R-2004-12 [Summary in English]. SWOV, Leidschendam. 48 p. Available from Internet: https://www.swov.nl/node/14412 (in Dutch).
Wilmot, C. G.; Khanal, M. 1999. Effect of speed limits on speed and safety: a review, Transport Reviews 19(4): 315–329. https://doi.org/10.1080/014416499295420
Yao, Y.; Carsten, O.; Hibberd, D. 2020a. A close examination of speed limit credibility and compliance on UK roads, IATSS Research 44(1): 17–29. https://doi.org/10.1016/J.IATSSR.2019.05.003
Yao, Y.; Carsten, O.; Hibberd, D. 2020b. Predicting compliance with speed limits using speed limit credibility perception and risk perception data, Transportation Research Record: Journal of the Transportation Research Board 2674(9): 450–461. https://doi.org/10.1177/0361198120929696
Yao, Y.; Carsten, O.; Hibberd, D. 2019a. An empirical approach to determining speed limit credibility, Transportation Research Part F: Traffic Psychology and Behaviour 63: 270–282. https://doi.org/10.1016/J.TRF.2019.04.015
Yao, Y.; Carsten, O.; Hibberd, D.; Li, P. 2019b. Exploring the relationship between risk perception, speed limit credibility and speed limit compliance, Transportation Research Part F: Traffic Psychology and Behaviour 62: 575–586. https://doi.org/10.1016/J.TRF.2019.02.012
Yu, R.; Abdel-Aty, M. 2014a. An optimal variable speed limits system to ameliorate traffic safety risk, Transportation Research Part C: Emerging Technologies 46: 235–246. https://doi.org/10.1016/J.TRC.2014.05.016
Yu, R.; Abdel-Aty, M. 2014b. Analyzing crash injury severity for a mountainous freeway incorporating real-time traffic and weather data, Safety Science 63: 50–56. https://doi.org/10.1016/J.SSCI.2013.10.012
Yu, R.; Quddus, M.; Wang, X.; Yang, K. 2018. Impact of data aggregation approaches on the relationships between operating speed and traffic safety, Accident Analysis & Prevention 120: 304–310. https://doi.org/10.1016/J.AAP.2018.06.007
Zhu, X.; Srinivasan, S. 2011. A comprehensive analysis of factors influencing the injury severity of large-truck crashes, Accident Analysis & Prevention 43(1): 49–57. https://doi.org/10.1016/J.AAP.2010.07.007
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