SARIMA Modelling Approach for Forecasting of Traffic Accidents
To achieve greater sustainability of the traffic system, the trend of traffic accidents in road traffic was analysed. Injuries from traffic accidents are among the leading factors in the suffering of people around the world. Injuries from road traffic accidents are predicted to be the third leading...
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| Vydáno v: | Sustainability Ročník 14; číslo 8; s. 4403 |
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Basel
MDPI AG
01.04.2022
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| Abstract | To achieve greater sustainability of the traffic system, the trend of traffic accidents in road traffic was analysed. Injuries from traffic accidents are among the leading factors in the suffering of people around the world. Injuries from road traffic accidents are predicted to be the third leading factor contributing to human deaths. Road traffic accidents have decreased in most countries during the last decade because of the Decade of Action for Road Safety 2011–2020. The main reasons behind the reduction of traffic accidents are improvements in the construction of vehicles and roads, the training and education of drivers, and advances in medical technology and medical care. The primary objective of this paper is to investigate the pattern in the time series of traffic accidents in the city of Belgrade. Time series have been analysed using exploratory data analysis to describe and understand the data, the method of regression and the Box–Jenkins seasonal autoregressive integrated moving average model (SARIMA). The study found that the time series has a pronounced seasonal character. The model presented in the paper has a mean absolute percentage error (MAPE) of 5.22% and can be seen as an indicator that the prognosis is acceptably accurate. The forecasting, in the context of number of a traffic accidents, may be a strategy to achieve different goals such as traffic safety campaigns, traffic safety strategies and action plans to achieve the objectives defined in traffic safety strategies. |
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| AbstractList | To achieve greater sustainability of the traffic system, the trend of traffic accidents in road traffic was analysed. Injuries from traffic accidents are among the leading factors in the suffering of people around the world. Injuries from road traffic accidents are predicted to be the third leading factor contributing to human deaths. Road traffic accidents have decreased in most countries during the last decade because of the Decade of Action for Road Safety 2011–2020. The main reasons behind the reduction of traffic accidents are improvements in the construction of vehicles and roads, the training and education of drivers, and advances in medical technology and medical care. The primary objective of this paper is to investigate the pattern in the time series of traffic accidents in the city of Belgrade. Time series have been analysed using exploratory data analysis to describe and understand the data, the method of regression and the Box–Jenkins seasonal autoregressive integrated moving average model (SARIMA). The study found that the time series has a pronounced seasonal character. The model presented in the paper has a mean absolute percentage error (MAPE) of 5.22% and can be seen as an indicator that the prognosis is acceptably accurate. The forecasting, in the context of number of a traffic accidents, may be a strategy to achieve different goals such as traffic safety campaigns, traffic safety strategies and action plans to achieve the objectives defined in traffic safety strategies. |
| Author | Djukić, Aleksandar Deretić, Nemanja Awadh, Mohammed Al Stanimirović, Dragan Vujanović, Nikola |
| Author_xml | – sequence: 1 givenname: Nemanja orcidid: 0000-0001-6564-7137 surname: Deretić fullname: Deretić, Nemanja – sequence: 2 givenname: Dragan surname: Stanimirović fullname: Stanimirović, Dragan – sequence: 3 givenname: Mohammed Al orcidid: 0000-0002-9810-1111 surname: Awadh fullname: Awadh, Mohammed Al – sequence: 4 givenname: Nikola surname: Vujanović fullname: Vujanović, Nikola – sequence: 5 givenname: Aleksandar surname: Djukić fullname: Djukić, Aleksandar |
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| Cites_doi | 10.1016/j.aap.2017.02.006 10.1016/j.treng.2021.100095 10.1016/j.trpro.2022.02.099 10.1016/j.jsr.2022.02.013 10.1016/j.iatssr.2022.03.004 10.1016/j.iatssr.2021.11.012 10.1016/j.aap.2013.09.023 10.1016/j.aap.2020.105860 10.1016/j.aap.2021.106227 10.1016/j.aap.2020.105848 10.1016/j.cegh.2021.100745 10.1016/j.giq.2021.101663 10.1007/978-0-387-21706-2 10.1016/j.aap.2021.106391 10.1016/j.aap.2014.02.017 10.1016/j.future.2021.10.022 10.1016/j.jsr.2021.04.007 10.1016/j.aap.2020.105549 10.1016/j.aap.2012.11.022 10.1016/j.aap.2017.12.016 10.1016/j.aap.2021.106090 10.1016/j.iatssr.2011.12.001 10.1016/j.jairtraman.2021.102061 10.1016/j.trpro.2020.02.064 10.1016/j.aap.2021.106250 10.1016/j.procs.2020.10.020 10.1016/j.ijforecast.2020.09.010 10.1016/j.aap.2017.11.030 10.1080/15389588.2020.1770238 10.1016/j.aap.2008.06.011 10.1016/0001-4575(86)90055-2 10.1016/j.giq.2013.10.011 10.1016/j.eswa.2020.113855 10.1016/j.aap.2012.11.006 10.1016/j.knosys.2021.107755 10.1016/0001-4575(91)90056-B 10.1007/s00181-010-0440-1 10.4018/978-1-5225-0084-1 10.1016/j.aap.2022.106592 10.1016/0001-4575(94)00062-Q 10.1057/9781137291264_6 10.1016/j.wasman.2021.12.002 10.1016/j.aap.2021.105973 10.1016/j.is.2021.101961 10.1016/j.ipm.2021.102811 10.1016/j.aap.2019.105353 10.1016/j.aap.2016.02.003 |
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| References | ref_50 (ref_3) 2020; 45 Lavrenz (ref_14) 2018; 117 Katrakazas (ref_30) 2021; 78 Bliss (ref_5) 2012; 35 Commandeur (ref_16) 2013; 60 ref_58 ref_57 Comi (ref_64) 2022; 62 ref_55 ref_54 ref_53 ref_52 Afrin (ref_27) 2022; 237 Ali (ref_7) 2021; 151 Ihueze (ref_20) 2018; 112 ref_17 Shannon (ref_34) 2021; 159 ref_59 Almeida (ref_22) 2022; 128 Melichar (ref_13) 2018; 33 Barcellos (ref_41) 2022; 106 Vipin (ref_32) 2021; 11 Lunacek (ref_37) 2021; 94 ref_61 ref_60 Slimani (ref_28) 2020; 177 Rahim (ref_25) 2021; 154 Quddus (ref_10) 2008; 40 Stoimenov (ref_45) 2014; 31 Melchior (ref_39) 2021; 37 Scott (ref_8) 1986; 18 Dadashova (ref_12) 2016; 90 Valencia (ref_63) 2021; 149 Pedraza (ref_44) 2020; 7 Khan (ref_35) 2019; 2 Bujosa (ref_62) 2020; 144 ref_36 Olayode (ref_23) 2021; 6 Vanlaar (ref_19) 2014; 62 Fu (ref_26) 2022; 167 (ref_43) 2022; 39 (ref_4) 2021; 159 Morimoto (ref_6) 2021; 46 Sarmento (ref_38) 2022; 138 Demir (ref_1) 2020; 3 Carnis (ref_15) 2013; 51 (ref_11) 1995; 27 Xu (ref_56) 2012; 42 Roland (ref_33) 2021; 149 Sun (ref_51) 2021; 1 Naqvi (ref_29) 2020; 135 Broughton (ref_9) 1991; 23 ref_47 ref_46 (ref_2) 2021; 9 Sangare (ref_21) 2020; 167 ref_40 Sebego (ref_18) 2014; 70 ref_48 Feng (ref_42) 2022; 59 Qian (ref_24) 2020; 21 Park (ref_31) 2017; 101 Sekadakis (ref_49) 2021; 162 |
| References_xml | – volume: 101 start-page: 78 year: 2017 ident: ref_31 article-title: Time series trends of the safety effects of pavement resurfacing publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2017.02.006 – volume: 6 start-page: 100095 year: 2021 ident: ref_23 article-title: Prediction and modeling of traffic flow of human–driven vehicles at a signalized road intersection using artificial neural network model: A South African road transportation system scenario publication-title: Transp. Eng. doi: 10.1016/j.treng.2021.100095 – volume: 62 start-page: 798 year: 2022 ident: ref_64 article-title: Road Accident Analysis with Data Mining Approach: Evidence from Rome publication-title: Transp. Res. Procedia doi: 10.1016/j.trpro.2022.02.099 – ident: ref_55 – volume: 3 start-page: 111 year: 2020 ident: ref_1 article-title: Prioritization of road transportation risks: An application in Giresun province publication-title: Oper. Res. Eng. Sci. Theory Appl. – ident: ref_40 doi: 10.1016/j.jsr.2022.02.013 – ident: ref_36 doi: 10.1016/j.iatssr.2022.03.004 – volume: 46 start-page: 3 year: 2021 ident: ref_6 article-title: A conceptual framework for road traffic safety considering differences in traffic culture through international comparison publication-title: IATSS Res. doi: 10.1016/j.iatssr.2021.11.012 – volume: 62 start-page: 238 year: 2014 ident: ref_19 article-title: An evaluation of Winnipeg’s photo enforcement safety program: Results of time series analyses and an intersection camera experiment publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2013.09.023 – volume: 149 start-page: 105860 year: 2021 ident: ref_33 article-title: Modeling and predicting vehicle accident occurrence in Chattanooga, Tennessee publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2020.105860 – volume: 7 start-page: 432 year: 2020 ident: ref_44 article-title: Modern data sources and techniques for analysis and forecast of road accidents: A review publication-title: J. Traffic Transp. Eng. – volume: 159 start-page: 106227 year: 2021 ident: ref_4 article-title: Impact of Mexican Road Safety Strategies implemented in the context of the UN’s Decade of Action publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2021.106227 – volume: 149 start-page: 105848 year: 2021 ident: ref_63 article-title: Spatiotemporal correlation study of traffic accidents with fatalities and injuries in Bogota (Colombia) publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2020.105848 – volume: 11 start-page: 100745 year: 2021 ident: ref_32 article-title: Road traffic accident mortality analysis based on time of occurrence: Evidence from Kerala, India publication-title: Clin. Epidemiol. Glob. Health doi: 10.1016/j.cegh.2021.100745 – volume: 39 start-page: 101663 year: 2022 ident: ref_43 article-title: Effects of Predictors of Citizens’ Attitudes and Intention to Use Open Government Data and Government 2.0 publication-title: Gov. Inf. Q. doi: 10.1016/j.giq.2021.101663 – ident: ref_52 doi: 10.1007/978-0-387-21706-2 – ident: ref_61 – volume: 162 start-page: 106391 year: 2021 ident: ref_49 article-title: Analysis of the impact of COVID–19 on collisions, fatalities and injuries using time series forecasting: The case of Greece publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2021.106391 – volume: 70 start-page: 33 year: 2014 ident: ref_18 article-title: The impact of alcohol and road traffic policies on crash rates in Botswana, 2004–2011: A time–series analysis publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2014.02.017 – volume: 128 start-page: 429 year: 2022 ident: ref_22 article-title: Vehicular traffic flow prediction using deployed traffic counters in a city publication-title: Future Gener. Comput. Syst. doi: 10.1016/j.future.2021.10.022 – ident: ref_58 – volume: 78 start-page: 189 year: 2021 ident: ref_30 article-title: Identifying the impact of the COVID–19 pandemic on driving behavior using naturalistic driving data and time series forecasting publication-title: J. Saf. Res. doi: 10.1016/j.jsr.2021.04.007 – volume: 144 start-page: 105549 year: 2020 ident: ref_62 article-title: Revisiting the relationship between traffic accidents, real economic activity and other factors in Spain publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2020.105549 – volume: 51 start-page: 301 year: 2013 ident: ref_15 article-title: An assessment of the safety effects of the French speed camera program publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2012.11.022 – volume: 112 start-page: 21 year: 2018 ident: ref_20 article-title: Road traffic accidents prediction modelling: An analysis of Anambra State, Nigeria publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2017.12.016 – volume: 154 start-page: 106090 year: 2021 ident: ref_25 article-title: A deep learning based traffic crash severity prediction framework publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2021.106090 – ident: ref_48 – volume: 35 start-page: 48 year: 2012 ident: ref_5 article-title: Meeting the management challenges of the Decade of Action for Road Safety publication-title: IATSS Res. doi: 10.1016/j.iatssr.2011.12.001 – volume: 94 start-page: 102061 year: 2021 ident: ref_37 article-title: A data-driven operational model for traffic at the Dallas Fort Worth International Airport publication-title: J. Air Transp. Manag. doi: 10.1016/j.jairtraman.2021.102061 – volume: 45 start-page: 70 year: 2020 ident: ref_3 article-title: Monitoring of Road Safety Performance Indicators–Current Situation and Trends in The Republic of Serbia publication-title: Transp. Res. Procedia doi: 10.1016/j.trpro.2020.02.064 – volume: 159 start-page: 106250 year: 2021 ident: ref_34 article-title: Extending the Heston model to forecast motor vehicle collision rates publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2021.106250 – ident: ref_17 – volume: 177 start-page: 128 year: 2020 ident: ref_28 article-title: Road traffic forecasting using a real data set in Morocco publication-title: Procedia Comput. Sci. doi: 10.1016/j.procs.2020.10.020 – volume: 2 start-page: 26 year: 2019 ident: ref_35 article-title: Diagnostic time series models for road traffic accidents data publication-title: Int. J. Appl. Stat. Econom. – volume: 37 start-page: 825 year: 2021 ident: ref_39 article-title: Forecasting Brazilian mortality rates due to occupational accidents using autoregressive moving average approaches publication-title: Int. J. Forecast. doi: 10.1016/j.ijforecast.2020.09.010 – ident: ref_59 – volume: 117 start-page: 368 year: 2018 ident: ref_14 article-title: Time series modeling in traffic safety research publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2017.11.030 – volume: 21 start-page: 407 year: 2020 ident: ref_24 article-title: Forecasting deaths of road traffic injuries in China using an artificial neural network publication-title: Traffic Inj. Prev. doi: 10.1080/15389588.2020.1770238 – volume: 40 start-page: 1732 year: 2008 ident: ref_10 article-title: Time series count data models: An empirical application to traffic accidents publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2008.06.011 – ident: ref_53 – volume: 18 start-page: 109 year: 1986 ident: ref_8 article-title: Modelling time–series of British road accident data publication-title: Accid. Anal. Prev. doi: 10.1016/0001-4575(86)90055-2 – volume: 31 start-page: 278 year: 2014 ident: ref_45 article-title: Benchmarking open government: An open data perspective publication-title: Gov. Inf. Q. doi: 10.1016/j.giq.2013.10.011 – volume: 167 start-page: 113855 year: 2020 ident: ref_21 article-title: Exploring the forecasting approach for road accidents: Analytical measures with hybrid machine learning publication-title: Expert Syst. Appl. doi: 10.1016/j.eswa.2020.113855 – volume: 60 start-page: 424 year: 2013 ident: ref_16 article-title: On statistical inference in time series analysis of the evolution of road safety publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2012.11.006 – volume: 237 start-page: 107755 year: 2022 ident: ref_27 article-title: A Long Short–Term Memory–based correlated traffic data prediction framework publication-title: Knowl.-Based Syst. doi: 10.1016/j.knosys.2021.107755 – ident: ref_47 – volume: 23 start-page: 353 year: 1991 ident: ref_9 article-title: Forecasting road accident casualties in Great Britain publication-title: Accid. Anal. Prev. doi: 10.1016/0001-4575(91)90056-B – volume: 42 start-page: 619 year: 2012 ident: ref_56 article-title: The role of the log transformation in forecasting economic variables publication-title: Empir. Econ. doi: 10.1007/s00181-010-0440-1 – ident: ref_60 doi: 10.4018/978-1-5225-0084-1 – volume: 167 start-page: 106592 year: 2022 ident: ref_26 article-title: From the past to the future: Modeling the temporal instability of safety performance functions publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2022.106592 – volume: 27 start-page: 405 year: 1995 ident: ref_11 article-title: What is happening to the number of fatalities in road accidents? A model for forecasts and continuous monitoring of development up to the year 2000 publication-title: Accid. Anal. Prev. doi: 10.1016/0001-4575(94)00062-Q – ident: ref_50 doi: 10.1057/9781137291264_6 – volume: 33 start-page: 1113 year: 2018 ident: ref_13 article-title: SARIMA modelling approach for railway passenger flow forecasting publication-title: Transport – volume: 138 start-page: 189 year: 2022 ident: ref_38 article-title: Impact of COVID-19 lockdown measures on waste production behavior in Lisbon publication-title: Waste Manag. doi: 10.1016/j.wasman.2021.12.002 – volume: 1 start-page: 1 year: 2021 ident: ref_51 article-title: The Programming Languages: Introduction of R publication-title: Syst. Med. Integr. Qual. Comput. Approaches – volume: 9 start-page: 107 year: 2021 ident: ref_2 article-title: Transport infrastructure quality and logistics performance in exports publication-title: ECONOMICS-Innov. Econ. Res. – volume: 151 start-page: 105973 year: 2021 ident: ref_7 article-title: Traffic accident detection and condition analysis based on social networking data publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2021.105973 – volume: 106 start-page: 101961 year: 2022 ident: ref_41 article-title: Towards defining data interpretability in open data portals: Challenges and research opportunities publication-title: Inf. Syst. doi: 10.1016/j.is.2021.101961 – volume: 59 start-page: 102811 year: 2022 ident: ref_42 article-title: Unifying telescope and microscope: A multi–lens framework with open data for modelling emerging events publication-title: Inf. Processing Manag. doi: 10.1016/j.ipm.2021.102811 – ident: ref_54 – volume: 135 start-page: 105353 year: 2020 ident: ref_29 article-title: Do higher fuel prices help reduce road traffic accidents? publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2019.105353 – ident: ref_46 – ident: ref_57 – volume: 90 start-page: 82 year: 2016 ident: ref_12 article-title: Methodological development for selection of significant predictors explaining fatal road accidents publication-title: Accid. Anal. Prev. doi: 10.1016/j.aap.2016.02.003 |
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