Operating Vehicles’ Speed Prediction Models
DOI:
https://doi.org/10.7307/ptt.v36i3.543Keywords:
operating speed, prediction models, road safety, road infrastructureAbstract
Vehicle speed is one of the main factors that influence the occurrence and severity of the consequences of road traffic accidents. Operating speed can be defined, among other things, as the actual speed at which the largest number of road users drive in conditions of free traffic flow. It can be measured on existing roads, however, on newly designed roads it can only be predicted. For this reason, many researchers have examined the correlation between the elements of the road as well as its surroundings and operating speed. By determining the correlation, models for predicting operating speed were created. As part of this paper, the most significant models for predicting operating speed were analysed. Of course, the largest number of models are stochastic, but in recent years, models based on artificial intelligence, more precisely on deep learning, have also been created. Accordingly, the goal of this paper is to review the model for predicting the operating speed of vehicles while identifying opportunities for further research and improvement in this area.
References
World Health Organization. Global status report on road safety 2018. World Health Organization; 2019. https://www.who.int/publications-detail-redirect/9789241565684 [Accessed 10th July 2023].
Croatia. National road safety plan of the republic of croatia fot the period 2021-2030. Ministry of the Interior; 2021.
International Transport Forum. Road safety annual report 2018. OECD Publishing; 2018. https://www.itf-oecd.org/road-safety-annual-report-2018 [Accessed 10th July 2023].
Croatia. Statistical overview of basic safety indicators and work results in 2022. Ministry of the Interior; 2023.
SWOV Institute for Road Safety Research. Speed and speed management. SWOV Fact sheet; 2021. https://swov.nl/sites/default/files/bestanden/downloads/FS%20Speed.pdf [Accessed 10th July 2023].
Transport NSW. Annual Report. 2010. https://www.transport.nsw.gov.au/system/files/media/documents/2023/2010-annual-report-overview.pdf [Accessed 10th June 2023].
European Automobile Manufacturers Association. Road safety: Safe vehicles, safe drivers, safe roads. 2019. https://www.roadsafetyfacts.eu/themes/ACEA-Road-Safety-Facts/img/ACEA_Road_Safety.pdf [Accessed 10th June 2023].
Joksch HC. Velocity change and fatality risk in a crash--a rule of thumb. Accid Anal Prev. 1993; DOI: 10.1016/0001-4575(93)90102-3.
European Transport Safety Council. Reducing speeding in Europe. PIN Flash Report 36, 2019. https://etsc.eu/wp-content/uploads/PIN-flash-report-36-Final.pdf [Accessed 10th July 2023].
Eluru N, Bhat CR. A joint econometric analysis of seat belt use and crash-related injury severity. Accident Analysis and Prevention. 2007;39(5):1037-1049. DOI: 10.1016/j.aap.2007.02.001.
Bhowmik T, Yasmin S, Eluru N. A multilevel generalized ordered probit fractional split model for analyzing vehicle speed. Analytic Methods in Accident Research. 2019;21:13-31. DOI: 10.1016/j.amar.2018.12.001.
Australia. Road planning and design manual. Queensland, Australia: Departement of Transport and Main Roads; 2021.
Dadić I, Kos G, Ševrović M. Traffic flow theory. University of Zagreb, Faculty of Transport and Traffic Sciences; 2014.
Croatia. Ordinance on basic conditions that public roads outside settlements and their elements must meet from the point of view of traffic safety (OG 110/2001 and 90/2022.). Ministry of Sea, Transport and Infrastructure; 2022.
European Commission. Directorate-General for mobility and transport, Next steps towards ‘Vision Zero’ – EU road safety policy framework 2021-2030. Publications Office; 2020.
AASHTO. A policy on geometric design of highways and streets. American Association of State Highway and Transportation Officials. 7th Edition. 2008.
Jiang Z, Jadaan K, Ouyang Y. Speed harmonization-design speed vs. operating speed. Civil Engineering Studies, Illinois Center for Transportation Series; 2016.
Raza S, Abaza O, Safi FR, Hussain A. The discrepancy between actual operating speed and drivers’ self-reported speed. Int. Conf. Transp. Dev. 2019 Smarter Safer Mobil. Cities - Sel. Pap. from Int. Conf. Transp. Dev. 2019. 2019. p. 199-212. DOI: 10.1061/9780784482575.020.
Stamatiadis N, Hong H. Analysis of inconsistencies related to design speed, operating speed and speed limits. Kentucky Transportation Center Research Report, 2004. DOI: 10.13023/KTC.RR.2006.12.
Subotić M, et al. Models of analysis of credible deviation from speed limits on two-lane roads of bosnia and herzegovina. Complexity. 2022. DOI: 10.1155/2022/2832175.
Vehicle speeds on Croatian roads in 2021. Annual Report, 2022. https://hrvatske-ceste.hr/uploads/documents/attachment_file/file/1517/Brojenje_prometa_na_cestama_Republike_Hrvatske_godine_2021.pdf [Accessed 10th June 2023].
Bonić A, Salkanović M. Transport and logistics analysis of operating speed deviations from limit values on two-lane roads. The Seventh International Conference Transport and Logistics. 2021;133-138.
Martinelli V, et al. Estimating operating speed for county road segments – Evidence from Italy. International Journal of Transportation Science and Technology. 2022. DOI: 10.1016/j.ijtst.2022.05.007.
Tottadi KK, Mehar A. Operating speed: Review and recommendations for future research. Innovative Infrastructure Solutions. 2022;7(1):67. DOI: 10.1007/s41062-021-00669-9.
Russo F, Biancardo SA, Busiello M. Operating speed as a key factor in studying the driver behaviour in a rural context. Transport. 2016;2:260-270. DOI: 10.3846/16484142.2016.1193054.
Esposito T, Mauro R, Russo F, Dell’Acqua G. Speed prediction models for sustainable road safety management. Procedia - Social and Behavioral Sciences. 2011;20:568-576. DOI: 10.1016/j.sbspro.2011.08.063.
Perco P, Marchionna A, Falconetti N. Prediction of the operating speed profile approaching and departing intersections. Journal of Transportation Engineering. 2012;138(12):1476-1483. DOI: 10.1061/(ASCE)TE.1943-5436.0000471.
Özkan T, et al. Cross-cultural differences in driving behaviours: A comparison of six countries. Transportation Research Part F: Traffic Psychology and Behaviour. 2006;9(3):227-242. DOI: 10.1016/j.trf.2006.01.002.
Boroujerdian AM, Seyedabrishami E, Akbarpour H. Analysis of geometric design impacts on vehicle operating speed on two-lane rural roads. Procedia Engineering. 2016;161:1144-1151. DOI: 10.1016/j.proeng.2016.08.529.
Hashim IH, Abdel-Wahed TA, Moustafa Y. Toward an operating speed profile model for rural two-lane roads in Egypt. Journal of Traffic and Transportation Engineering (English Edition). 2016;3(1):82-88. DOI: 10.1016/j.jtte.2015.09.005.
Gong H. Operating speed prediction models for horizontal curves on rural four-lane non-freeway highways. PhD thesis. University of Kentucky; 2007.
Perco P. Influence of the general character of horizontal alignment on operating speed of two-lane rural roads. Transportation Research Record. 2008;2075:16-23. DOI: 10.3141/2075-03.
Misaghi P, Hassan Y. Modeling operating speed and speed differential on two-lane rural roads. Journal of Transportation Engineering. 2005;131(6):408-418. DOI: 10.1061/(ASCE)0733-947X(2005)131:6(408).
Fitzpatrick K, et al. Exploration of the relationship between operating speed and roadway features on tangent sections. Journal of Transportation Engineering. 2005;131(4):261-269. DOI: 10.1061/(ASCE)0733-947X(2005)131:4(261).
Dell’Acqua G, Esposito T, Lamberti R, Abate D. Operating speed model on tangents of two-lane rural highways. 4th International SIIV Congress – Palermo (Italy). 2007.
Martinelli V, et al. Effects of urban road environment on vehicular speed. Evidence from Brescia (Italy). Transportation Research Procedia. 2022;60:592-599. DOI: 10.1016/j.trpro.2021.12.076.
Gong H, Stamatiadis N. Operating speed prediction models for horizontal curves on rural four-lane highways. Transportation Research Record. 2008.
Maji A, Sil G, Tyagi A. 85th and 98th percentile speed prediction models of car, light, and heavy commercial vehicles for four-lane divided rural highways. Journal of Transportation Engineering, Part A: Systems. 2018;144(5). DOI: 10.1061/jtepbs.0000136.
Maji A, Tyagi A. Speed prediction models for car and sports utility vehicle at locations along four-lane median divided horizontal curves. Journal of Modern Transportation. 2018;26(4):278-284. DOI: 10.1007/s40534-018-0162-1.
Sil G, Nama S, Maji A, Maurya AK. Effect of horizontal curve geometry on vehicle speed distribution: A four-lane divided highway study. Transportation Letters. 2019;12(10):713-722. DOI: 10.1080/19427867.2019.1695562.
Sil G, Nama S, Maji A, Maurya AK. Modeling 85th percentile speed using spatially evaluated free-flow vehicles for consistency-based geometric design. Journal of Transportation Engineering, Part A: Systems. 2020;146(2). DOI: 10.1061/jtepbs.0000286.
Yan Y, Li G, Tang J, Guo Z. A novel approach for operating speed continuous predication based on alignment space comprehensive index. Journal of Advanced Transportation. 2017. DOI: 10.1155/2017/9862949.
Wang X, Wang X. Speed change behavior on combined horizontal and vertical curves: Driving simulator-based analysis. Accident Analysis and Prevention. 2018;119:215-224. DOI: 10.1016/j.aap.2018.07.019.
Ma X, et al. Long short-term memory neural network for traffic speed prediction using remote microwave sensor data. Transportation Research Part C: Emerging Technologies. 2015;54:187-197. DOI: 10.1016/j.trc.2015.03.014.
Ma X, et al. Learning traffic as images: A deep convolutional neural network for large-scale transportation network speed prediction. Sensors (Switzerland). 2017;17(4). DOI: 10.3390/s17040818.
Maji A, Singh D, Agrawal N, Zaman M. Operating speed prediction models for tangent sections of two-lane rural highways in Oklahoma State. Transportation Letters. 2020;12(2):130-137. DOI: 10.1080/19427867.2018.1536424.
Medina AMF, Tarko AP. Speed changes in the vicinity of horizontal curves on two-lane rural roads. Journal of Transportation Engineering. 2007;133(4):215-222. DOI: 10.1061/(ASCE)0733-947X(2007)133:4(215).
Zuriaga AMP, García AG, Torregrosa FJC, D’Attoma P. Modeling operating speed and deceleration on two-lane rural roads with global positioning system data. Transportation Research Record. 2010;2171:11-20. DOI: 10.3141/2171-02.
Memon RA, Khaskheli GB, Dahani MA. Estimation of operating speed on two lane two way roads along N-65 (SIBI-Quetta). International Journal of Civil Engineering. 2012;10(1):25-31.
Choudhari T, Maji A. Effect of horizontal curve geometry on the maximum speed reduction: A Driving simulator-based study. Transportation in Developing Economies. 2019;5(2). DOI: 10.1007/s40890-019-0082-8.
Mintie T. Geometric design consistency evaluation of two-lane rural highways using operating speed prediction models (The case of Dejen to Debre-Markos road, Ethiopia). PhD thesis. Bahir DR University; 2020.
Wang B, Hallmark S, Savolainen P, Dong J. Examining vehicle operating speeds on rural two-lane curves using naturalistic driving data. Accident Analysis and Prevention. 2018;118;236-243. DOI: 10.1016/j.aap.2018.03.017.
Abbas SKS, Adnan MA, Endut IR. Exploration of 85th percentile operating speed model on horizontal curve: A case study for two-lane rural highways. Procedia - Social and Behavioral Sciences. 2011;16:352-363. DOI: 10.1016/j.sbspro.2011.04.456.
Jacob A, Anjaneyulu MVLR. Operating speed of different classes of vehicles at horizontal curves on two-lane rural highways. Journal of Transportation Engineering. 2013;139(3):287-294. DOI: 10.1061/(ASCE)TE.1943-5436.0000503.
Bella F. Operating speeds from driving simulator tests for road safety evaluation. Journal of Transportation Safety and Security. 2014;6(3):220-234. DOI: 10.1080/19439962.2013.856984.
Alsobky A, Mousa R. Estimating free flow speed using google maps API: Accuracy, limitations, and applications. Advances in Transportation Studies. 2020;50:49-64. DOI: 10.4399/97888255317324.
Ali EK, et al. Risk assessment of horizontal curves using reliability analysis based on Google traffic data. Innov. Infrastruct. Solut. 2021;6,(2):1-13. DOI: 10.1007/s41062-021-00477-1.
Moya-Gómez B, García-Palomares J. The impacts of congestion on automobile accessibility. What happens in large European cities?. Journal of Transport Geography. 2017;62:148-159. DOI: 10.1016/j.jtrangeo.2017.05.014.
Abdul-Mawjoud AA, Sofia GG. Development of models for predicting speed on horizontal curves for two-lane rural highways. Arabian Journal for Science and Engineering. 2008;33(2):365-377.
Gong H, Stamatiadis N. Operating speed prediction models for horizontal curves on rural four-lane highways. Transportation Research Record. 2008;2075:1-7. DOI: 10.3141/2075-01.
Memon RA, Khaskheli GB, Qureshi AS. Operating speed models for two-lane rural roads in Pakistan. Canadian Journal of Civil Engineering. 2008;35(5):443-453. DOI: 10.1139/L07-126.
Pérez-Zuriaga AM, Camacho-Torregrosa FJ, García A. Tangent-to-curve transition on two-lane rural roads based on continuous speed profiles. Journal of Transportation Engineering. 2013;139(11):1048-1057. DOI: 10.1061/(ASCE)TE.1943-5436.0000583.
Bella F, Calvi A, D’Amico F. Predictive speed models for two-lane rural roads using GPS equipment. International Journal of Mobile Network Design and Innovation. 2014;5(4):187-194. DOI: 10.1504/IJMNDI.2014.067177.
Echaveguren T, Díaz Á, Vargas-Tejeda S. Operating speed models for horizontal reverse curves. Proceedings of the Institution of Civil Engineers: Transport. 2015;168(6):510-522. DOI: 10.1680/jtran.13.00016.
Eboli L, Guido G, Mazzulla G, Pungillo G. Experimental relationships between operating speeds of successive road design elements in two-lane rural highways. Transport. 2015;32(2):138-145. DOI: 10.3846/16484142.2015.1110831.
Shallam RDK, Ahmed MA. Operating speed models on horizontal curves for two-lane highways. Transportation Research Procedia. 2016;17:445-451. DOI: 10.1016/j.trpro.2016.11.086.
Cvitanic D, Maljkovic B. Operating speed models of two-lane rural state roads developed on continuous speed data. Tehnicki Vjesnik. 2017;24(6):1915-1921. DOI: 10.17559/TV-20150304133437.
Llopis-Castelló D, González-Hernández B, Pérez-Zuriaga AM, García A. Speed prediction models for trucks on horizontal curves of two-lane rural roads. Transportation Research Record. 2018;2672(17):2-82. DOI: 10.1177/0361198118776111.
Lobo A, Amorim M, Rodrigues C, Couto A. Modelling the operating speed in segments of two-lane highways from probe vehicle data: A stochastic frontier approach. Journal of Advanced Transportation. 2018;2018. DOI: 10.1155/2018/3540785.
Malaghan V, Pawar DS, Dia H. Modeling operating speed using continuous speed profiles on two-lane rural highways in India. Journal of Transportation Engineering, Part A: Systems. 2020;146(11). DOI: 10.1061/jtepbs.0000447.
Wang J. Operating-speed model for low-speed urban tangent streets based on in-vehicle global positioning system data. PhD thesis. Georgia Institute of Technology; 2006.
Li YF, Chen MN, Lu XD, Zhao WZ. Research on optimized GA-SVM vehicle speed prediction model based on driver-vehicle-road-traffic system. Science China Technological Sciences. 2018;61(5):782-790. DOI: 10.1007/s11431-017-9213-0.
Wang J, Chen R, He Z. Traffic speed prediction for urban transportation network: A path based deep learning approach. Transportation Research Part C: Emerging Technologies. 2019;100:372-385. DOI: 10.1016/j.trc.2019.02.002.
Highway surveying manual. Washington State Department of Transportation; 2005. https://www.wsdot.wa.gov/publications/manuals/fulltext/m22-97/highwaysurvey.pdf [Accessed 10th June 2023].
Sun J, Li T. Relationship of lane width to speed for urban expressway: A case study in Shanghai. Proceedings of the 2018 International Conference on Network, Communication, Computer Engineering (NCCE 2018). 2018;147:1-6. DOI: 10.2991/ncce-18.2018.1.
Liu S, Wang J, Fu T. Effects of lane width, lane position and edge shoulder width on driving behavior in underground urban expressways: A driving simulator study. Int. J. Environ. Res. Public Health. 2016.
Relationship between lane width and speed, Review of relevant literature. Parsons Transportation Group; 2003. https://nacto.org/docs/usdg/review_lane_width_and_speed_parsons.pdf [Accessed 10th June 2023].
Lamm R, Psarianos B, Mailaender T. Highway design and traffic safety engineering handbook. 1999. http://www.sciepub.com/reference/271976. [Accessed 10th June 2023].
Chen X, et al. Evaluating the impacts of grades on vehicular speeds on interstate highways. PLoS ONE. 2017;12(9). DOI: 10.1371/journal.pone.0184142.
Jessen DR, et al. Operating speed prediction on crest vertical curves of rural two-lane highways in Nebraska. Transp. Res. Rec. 2001;1751:67-75. DOI: 10.3141/1751-08.
Khajeh Hosseini M, Talebpour A. Traffic prediction using time-space diagram: A convolutional neural network approach. Transportation Research Record. 2019;2673(7):425-435. DOI: 10.1177/0361198119841291.
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