PL EN


Preferencje help
Widoczny [Schowaj] Abstrakt
Liczba wyników
Tytuł artykułu

The effect of tram management on road traffic fluidity and its influence on drivers’ behaviors at a critical junction in Algeria

Treść / Zawartość
Identyfikatory
Warianty tytułu
Języki publikacji
EN
Abstrakty
EN
This research paper aims to study the effect of tram management on traffic fluidity and its impact on car drivers’ behaviors at junctions crossed by trams. The methodology used in this research is based on a mathematical model and an investigation of car drivers. The first step is to analyze the data of annual travelers’ attendance and assess the number of trams offered and needed in operation to respond adequately to the factual demand. The second step proceeds to show how the previous results of the trams’ fleet influence traffic jams. That is, this step identifies how the number of trams used in operation blocks other motorists and reduces traffic flow capacity at junctions. Finally, the purpose of the questionnaire is to determine car drivers’ opinions of the causes of traffic congestion at junctions and understand how this phenomenon affects their behaviors. The outcomes demonstrate that tram management is ineffective because there is a considerable gap between the annual offered tram fleet and the actual one needed according to the real statistical data. The high number of trams utilized is the leading cause of traffic congestion. Furthermore, this situation disturbs the control of traffic lights at common intersections. Unfortunately, this outcome is the main reason for drivers’ poor behavior, as 75.20% of car drivers are always stressed. These issues have intensified traffic jams in several junctions along the tram line. The article recommends some solutions to improve tram management and traffic fluidity to avoid the substandard behavior of car drivers at junctions.
Czasopismo
Rocznik
Strony
31--42
Opis fizyczny
Bibliogr. 35 poz.
Twórcy
  • University of Constantine 1, Department of Transport Engineering; Campus A. Hamani, route Ain El Bey, Constantine, 25000, Algeria
  • University of Constantine 1, Department of Transport Engineering; Campus A. Hamani, route Ain El Bey, Constantine, 25000, Algeria
autor
  • University Gustave Eiffel, Department (COSYS), GRETTIA laboratory; 14-20 boulevard Newton 77447 Marne la Vallée, Cedex 2, Paris, France
Bibliografia
  • 1. Rudolph, F. & Mátrai, T. Congestion from a multimodal perspective. Periodica Polytechnica Transportation Engineering. 2018. Vol. 46. No. 4. P. 215-221.
  • 2. Jain, V. & Sharma, A. & Subramanian, L. Road traffic congestion in the developing world. In: Proceedings of the 2nd ACM Symposium on Computing for Development. Atlanta, GA, United States. 2012. P. 1-10.
  • 3. Zhao, B. & Zhang, Y. & Zhang, Z. & et al. Study on signal priority implement technology of tram system. In: Procedia- Social and Behavioral Sciences. 2013. Vol. 96. P. 905-913. Shenzhen, China.
  • 4. Ardiansyah, A. Determination of location and numbers of tram stops in Surabaya with model set covering problem. In: International Conference on Advanced Mechatronics, Intelligent Manufacture, and Industrial Automation (ICAMIMIA). 2017. P. 337-341. Surabaya, Indonesia.
  • 5. Soczówka, P. & Zochowska, R. The classification of railway stops and stations in terms of land use structure in their surroundings. Transport Problems. 2022. Vol. 17. No. 1. P. 175-186.
  • 6. Kormanyos, L. & Tanczos, K. Conditions of a quality public rail service in Hungary. Periodica Polytechnica Transportation Engineering. 2007. Vol. 35. No. 1-2. P. 23-34.
  • 7. Khelf, M. & Boukebbab, S. The effect of vibration inside the Constantine’s tramway on the comfort of passengers. In: Proceedings of the 23rd International Conference Vibroengineering. Istanbul, Turkey. 2016. P. 33-38.
  • 8. Zhao, X. & Li, Y. & Xu, S. & et al. Modeling a modern tram system integrated with a road traffic simulation. Simulation. 2018. Vol. 94. No. 1. P. 77-90.
  • 9. Li, Y. & Cai, Q. & Y. Xu & et al. Design of real-time actuated control system for modern tram at arterial intersections based on logic rules. Advances in Mechanical Engineering. 2018. Vol. 10. P. 1-14.
  • 10. Shi, J. & Sun, Y. & Schonfeld, P. & et al. Joint optimization of tram timetables and signal timing adjustments at intersections. Transportation Research Part C: Emerging Technologies. 2017. Vol. 83. P. 104-119.
  • 11. Khelf, M. & Boukebbab, S. The effect of noise on the comfort of passengers inside the tramway and its impact on traffic congestion in the urban area. Journal of Vibroengineering. 2018. Vol. 20. P. 530-540. DOI: https://doi.org/10.21595/jve.2017.18196.
  • 12. Khelf, M. & Boukebbab, S. & Bhouri, N. Evaluation of the tram intelligent system management by an analysis of its key performance indicators for an optimal mixed traffic control in Algeria. International Journal of Shipping and Transport Logistics. 2022. Vol. 14. No. 1/2. P. 33-55. DOI: 10.1504/IJSTL.2022.120668.
  • 13. Christian, M.M. & Kupferschmid, J. & Schwertner, M. & et al. Tram safety in mixed traffc. Transportation Research Record: Journal of the Transportation Research Board. 2016. No. 2540. P. 125-137.
  • 14. Zhang, T. & Mao, B. & Xu, Q. & et al. Timetable optimization for a two-way tram line with an active signal priority strategy. In: IEEE Access. 2017. Vol. 7. P. 176896-176911.
  • 15. Moutchou, F. & Cherkaoui, A. & El Koursi, E.M. Human factors in the analysis of the ‘tram-car drivers’ at intersections. Journal of Civil Engineering and Architecture. 2013. Vol. 8. P. 562-569.
  • 16. Iatrou, S. & Stavrakakis, I. An integrated regulation and scheduling scheme for real-time traffic management. In: GLOBECOM 97. IEEE Global Telecommunications Conference. Conference Record. 1997. Vol. 3. P. 1378-1382.
  • 17. Nigarnjanagool, S. & Dia, H. Evaluation of a dynamic signal optimisation control model using traffic simulation. IATSS Research. 2005. Vol. 29. P. 22-30.
  • 18. Chen, S. & Xu, H. & Liu, H. Timing oversaturated signals: what can we learn from classic and state- of-the-art signal control models. Journal of Transportation Systems Engineering and Information Technology. 2013. Vol. 13. P. 97-110.
  • 19. Nguyen-Phuoc, D.Q. & Currie, G. & De Gruyter, C. Net impacts of streetcar operations on traffic congestion in Melbourne, Australia. Transportation Research Record Journal of the Transportation Research Board. 2017. Vol. 2648. P. 1-9.
  • 20. Shehab, M. & Alkandari, D. Drivers’ tendencies to engage in aberrant driving behaviors that violate traffic regulations in kuwait. Transport Problems. 2021. Vol. 16. No. 1. P. 19-28.
  • 21. Zeng, J. & Qian, Y. & Wang, B. & et al. The impact of traffic crashes on urban network traffic flow. Sustainability. 2019. Vol. 11. No. 14. P. 3956. DOI: 10.3390/su11143956.
  • 22. Bener, A. & Ozkan, T. & Lajunen, T. The driver behaviour questionnaire in arab gulf countries: Qatar and United Arab Emirates. Accident Analysis and Prevention. 2008. Vol. 40. No. 4. P. 1411-1417.
  • 23. Wang, C. & Quddus, M.A. & Ison, S.G. Impact of traffic congestion on road accidents: a spatial analysis of the M25 motorway in England. Accident analysis and prevention. 2009. Vol. 41. No. 4. P. 798-808.
  • 24. Dias, C. & Miska, M. & Kuwahara, M. & et al. Relationship between congestion and traffic accidents on expressways: an investigation with Bayesian belief networks. In: Proceedings of 40th Annual Meeting of Infrastructure Planning (JSCE). 2009.
  • 25. Morris, E.A. & Hirsch, J.A. Does rush hour see a rush of emotions? Driver mood in conditions likely to exhibit congestion. Travel Behav Soc. 2016. Vol. 5. P. 5-13.
  • 26. Farooq, D. & Moslem, S. Evaluation and ranking of driver behavior factors related to road safety by applying analytic network process. Periodica Polytechnica Transportation Engineering. 2020. Vol. 48. No. 2. P. 189-195.
  • 27. Srikanth, S. & Mehar, A. & Praveen, K.G.N.V. Simulation of traffic flow to analyze lane changes on multi-lane highways under non-lane discipline. Periodica Polytechnica Transportation Engineering. 2020. Vol. 48. No. 2. P. 109-116.
  • 28. Qi, W. & Wen, H. & Wu, Y. & et al. Effect model of urban traffic congestion on driver’s lane-changing behaviour. Advances in Mechanical Engineering. 2017. Vol. 9. No. 9. P. 1-12.
  • 29. Farooq, D. & Moslem, S. & Duleba, S. Evaluation of driver behavior criteria for evolution of sustainable traffic safety. Sustainability. 2019. Vol. 11. No. 3142. P. 1-15.
  • 30. Wu, X. & Yang, Y. A lane change model with the consideration of car following behavior. In: Procedia - Social and Behavioral Sciences. 2013. Vol. 96. P. 2354-2361.
  • 31. Ding, Z. & Peng, H. & Nobukawa, K. & et al. Analysis of mandatory and discretionary lane change behaviors for heavy trucks. In: Proceeding of the 12th International Symposium on Advanced Vehicle Control. AVEC’14. Tokyo, Japan. 2017.
  • 32. Knoop, V.L. & Keyvan-Ekbatani, M. & de Baat, M. & et al. Lane change behavior on freeways: an online survey using video clips. Journal of Advanced Transportation. 2018. Vol. 2018. P. 11.
  • 33. Khelf, M. & Boukebbab, S. & Bhouri, N. & Boulahlib, M.S. Tram service quality and its impact on the passengers’ modal choice in Constantine City (Algeria). In: Kabashkin, I. & Yatskiv (Jackiva), I. & Prentkovskis, O. (eds.) Reliability and Statistics in Transportation and Communication. RelStat. 2018. Lecture Notes in Networks and Systems. 2019. Vol. 68. P. 35-44. Springer Cham.
  • 34. Cohen, S. Ingénierie du Trafic Routier: Eléments de théorie du trafic et applications. Presses de l’école nationale des Ponts et chaussées. Presses de l’école nationale des Ponts et chaussées. 1990. 246 p. [In French: Road Traffic Engineering: Elements of traffic theory and applications. Presses of the National School of Bridges and Roads. Presses of the National School of Bridges and Roads].
  • 35. Khelf, M. & Boukebbab, S. Contribution à l’étude de la congestion et la régulation du trafic routier pour l’évaluation de la circulation en milieu urbain. PhD Thesis. Constantine: 21/D3C/2021. 2021. 145 p. [In French: Contribution to the Study of Traffic Congestion and Control for the Evaluation of the Traffic fluidity in Urban Areas].
Typ dokumentu
Bibliografia
Identyfikator YADDA
bwmeta1.element.baztech-8821ac5a-884b-43b6-b677-101170d8a267
JavaScript jest wyłączony w Twojej przeglądarce internetowej. Włącz go, a następnie odśwież stronę, aby móc w pełni z niej korzystać.