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International Workshop on Distributed Computing for Emerging Smart Networks

DiCES-N 2019: Distributed Computing for Emerging Smart Networks pp 23–36Cite as

A Systematic Literature Review of Studies on Road Congestion Modelling

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Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1130))

Abstract

Congestion was one of the most serious global problems which create highly problematic social, economic and environmental conditions. In this regard, we have elaborated a systematic literature review study on the magnitudes of congestion that will attempt to answer this problem by presenting successively the causes of traffic congestion, the economic, societal and environmental issues, the solutions proposed to reduce road congestion and finally the actions to be taken for this purpose. In our pursuit of research, we have found that microscopic modeling has been used effectively to solve the most serious problems of road congestion through urban transportation system applications and road pricing policy. To the contrary, the macroscopic modeling applications are generally geared toward the achievement of long-term goals to alleviate road congestion through road traffic management and improved public transport.

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Notes

  1. 1.

    https://www.tomtom.com/en_gb/traffic-index/ranking/.

  2. 2.

    http://inrix.com/scorecard/.

References

  1. Kohl, C., et al.: Can systematic reviews inform GMO risk assessment and risk management? (2015). https://doi.org/10.3389/fbioe.2015.00113

  2. Feifei, H., YanYang, L.: Traffic congestion assessment method for urban road networks based on speed performance index. Procedia Eng. 137, 425–433 (2016)

    Article  Google Scholar 

  3. Frances, A., Thomas, K.: Traffic congestion in the Accra Central Market, Ghana. J. Urban Manag. 7(2), 85–96 (2018)

    Article  Google Scholar 

  4. Limiao, Z., Guanwen, Z., Daqing, L., Hai-Jun, H., Harry, E., Shlomo, H.: Scale-free resilience of real traffic JAMS. In: Proceedings of the National Academy of Sciences (2018). https://doi.org/10.1073/pnas.1814982116

    Article  Google Scholar 

  5. Albert, S., Sergio, G., Alex, A.: A model to identify urban traffic congestion hotspots in complex networks. R. Soc. 3(10) (2016). http://doi.org/10.1098/rsos.160098

    Article  Google Scholar 

  6. Liang, W., Jeff, K., Xiumei, G., Dora, M.: Solving traffic congestion through street renaissance: a perspective from dense asian cities. Urban Sci. Spec. Issue Sustain. Place Mak. Urban Gov. (2018). https://doi.org/10.3390/urbansci3010018

    Article  Google Scholar 

  7. Guangyang, H., Suren, C., Yan, H.: Traffic performance assessment methodology of degraded roadway links following hazards. J. Aerosp. Eng. 32(5), 04019055 (2019)

    Article  Google Scholar 

  8. Derbel, A., Boujelbene, Y.: Road congestion analysis in the agglomeration of Sfax using a Bayesian model. In: Boudriga, N., Alouini, M.-S., Rekhis, S., Sabir, E., Pollin, S. (eds.) UNet 2018. LNCS, vol. 11277, pp. 131–142. Springer, Cham (2018). https://doi.org/10.1007/978-3-030-02849-7_12

    Chapter  Google Scholar 

  9. Baji, P.: Using Google Maps road traffic estimations to unfold spatial and temporal inequalities of urban road congestion. Hung. Geogr. Bull. 67(1), 61–74 (2018)

    Article  Google Scholar 

  10. Pengcheng, J., Lei, L., Lizhen, C., Hui, L., Yuliang, S.: Congestion prediction of urban traffic employing SRBDP. In: IEEE International Symposium on Parallel and Distributed Processing with Applications and IEEE International Conference on Ubiquitous Computing and Communications (2017)

    Google Scholar 

  11. Saargunawathy, M., Muhammad, A., Kamaludin, M., Ramdhan, S.: Analysis of vehicular traffic flow in the major areas of Kuala Lumpur utilizing open-traffic. In: AIP Conference Proceedings, vol. 1883 (2017)

    Google Scholar 

  12. Weka, I., Ade, S., Russ, B. Febri, Z.: Developing model of toll road traffic forecasting during ramp-up period. In: The 2nd Conference for Civil Engineering Research Networks, vol 270 (2019)

    Google Scholar 

  13. Pattanaik, V., Singh, M., Gupta, P.K., Singh, S.K.: Smart real-time traffic congestion estimation and clustering technique for urban vehicular roads. In: IEEE Region 10 Conference (TENCON), Singapore, pp. 3420–3423 (2016). https://doi.org/10.1109/tencon.2016.7848689

  14. Petrovska, N., Stevanovic, A.: Traffic congestion analysis visualisation tool. In: 18th International Conference on Intelligent Transportation Systems, Las Palmas, pp. 1489–1494 (2015). https://doi.org/10.1109/itsc.2015.243

  15. Huimin, W., Jianping, S.: Study on traffic congestion patterns of large city in China taking Beijing as an example. Procedia - Soc. Behav. Sci. 138(14), 482–491 (2014)

    Google Scholar 

  16. Junjie, W., Dong, W., Kun, H., Hang, G., Wang, P.: Encapsulating urban traffic rhythms into road networks. Sci. Rep. 4, 4141 (2014)

    Google Scholar 

  17. Wang, J., Mao, Y., Li, J., Xiong, Z., Wang, W.-X.: Predictability of road traffic and congestion in urban areas. PLoS ONE 10(4), e0121825 (2015). https://doi.org/10.1371/journal.pone.0121825

    Article  Google Scholar 

  18. Wang, W.-X., Guo, R.-J.: Research on road traffic congestion index based on comprehensive parameters: taking Dalian city as an example. Adv. Mech. Eng. (2018). https://doi.org/10.1177/1687814018781482

    Article  Google Scholar 

  19. Pablo, A., Iosu, L., Adrian, S., Javier, F.: The impact of traffic congestion when optimising delivery routes in real time. a case study in Spain. Int. J. Logist. Res. Appl. 21(5), 529–541 (2018). https://doi.org/10.1080/13675567.2018.1457634

    Article  Google Scholar 

  20. Wang, G., Kim, J.: The prediction of traffic congestion and incident on urban road networks using Naive Bayes classifier. In: Australasian Transport Research Forum Proceedings (2016)

    Google Scholar 

  21. Kim, J., Wang, G.: Diagnosis and prediction of traffic congestion on urban road networks using Bayesian networks. Transp. Res. Rec. J. Transp. Res. Board 2595, 108–118 (2016)

    Article  Google Scholar 

  22. YiLiu, X., Quan, W., Hemeizi, Z., Xinye, W.: Prediction of urban road congestion using a Bayesian network approach. Procedia - Soc. Behav. Sci. 138(14), 671–678 (2014)

    Google Scholar 

  23. Mauro, S., Federico, R., Maximilian, S., Christopher, H., Marco, P.: On the interaction between autonomous mobility-on-demand and public transportation systems. Comput. Sci.: Syst. Control (2018)

    Google Scholar 

  24. Justin, B., Hossein, F., Cynthia, L.: Public transit investment and sustainable transportation: a review of studies of transit’s impact on traffic congestion and air quality. Res. Transp. Econ. 52, 15–22 (2015)

    Article  Google Scholar 

  25. Ranran, Y., Ruyin, L.: Analysis of the influencing factors of the public willingness to participate in public bicycle projects and intervention strategies—a case study of Jiangsu Province, China. Sustain. MDPI Open Access J. 8(4), 1–16 (2016)

    Google Scholar 

  26. Łukasz, O., Jacek, Ż.: Design of passenger public transportation solutions based on autonomous vehicles and their multiple criteria comparison with traditional forms of passenger transportation. Transp. Res. Procedia 10, 472–482 (2015)

    Article  Google Scholar 

  27. Derbel, A., Boujelbene, Y.: Development an approach to fusion of an anti-collision system. In: International Conference on Advanced Logistics and Transport (ICALT) (2014). https://doi.org/10.1109/ICAdLT.2014.6864080

  28. Derbel, A., Boujelbene, Y.: Bayesian network for traffic management application: estimated the travel time. In: 2015 2nd World Symposium on Web Applications and Networking (WSWAN), Sousse, pp. 1–6 (2015). https://doi.org/10.1109/wswan.2015.7210328

  29. Boujelbene, Y., Derbel, A.: The performance analysis of public transport operators in Tunisia using AHP method. Procedia Comput. Sci. 73, 498–508 (2015)

    Article  Google Scholar 

  30. Boujelbene, Y., Derbel, A.: The performance analysis of public transport operators in Tunisia using ER approach. Glob. J. Manag. Bus. Res. 16(1) (2016)

    Google Scholar 

  31. Derbel, A., Boujelbene, Y.: Automatic classification and analysis of multiple-criteria decision making. In: Bouhlel, M.S., Rovetta, S. (eds.) SETIT 2018. SIST, vol. 146, pp. 83–93. Springer, Cham (2020). https://doi.org/10.1007/978-3-030-21005-2_8

    Chapter  Google Scholar 

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Author information

Authors and Affiliations

  1. FSEG of Sfax, Sfax University, 3018, Sfax, Tunisia

    Ahmed Derbel & Younes Boujelbene

Authors
  1. Ahmed Derbel
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  2. Younes Boujelbene
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Corresponding authors

Correspondence to Ahmed Derbel or Younes Boujelbene .

Editor information

Editors and Affiliations

  1. University of Carthage, Bizerte, Tunisia

    Imen Jemili

  2. Bordeaux INP, Talence, France

    Mohamed Mosbah

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Derbel, A., Boujelbene, Y. (2020). A Systematic Literature Review of Studies on Road Congestion Modelling. In: Jemili, I., Mosbah, M. (eds) Distributed Computing for Emerging Smart Networks. DiCES-N 2019. Communications in Computer and Information Science, vol 1130. Springer, Cham. https://doi.org/10.1007/978-3-030-40131-3_2

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  • DOI: https://doi.org/10.1007/978-3-030-40131-3_2

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-40130-6

  • Online ISBN: 978-3-030-40131-3

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