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Information Journal Paper

Title

Investigating the Social Impact of Intelligence on Traffic Management

Pages

  35-44

Abstract

 Public vehicles in our country can be an important part of the solution to improve the economic, energy and environmental challenges and bring us a better quality of life. One of the manifestations of low technology in public transportation is the leasing in traditional ways. Getting a fair in traditional ways in the transportation industry has many problems, such as waste of time and Delays in travel time, hence the need for the transformation and introduction of new technologies into this field. The purpose of this study is to investigate the effect of electronic ticketing on improving the performance of urban public transport. In this research, filming is done from each of Seyeddkhandan to Tajreish (paper and money tickets) routes and from Vanak Square to Tajreish (Electronic Ticket) at peak hours of the morning and evening and on different working days. After that, information about the time stops variables is extracted using the recorded videos. In the next stage, the data are analyzed statistically (mean, variance and normal or non-data). Then, for each of the paths, the latency prediction models are calculated and the best model is determined using fitness and correlation tests. Finally, to measure the change in how money and paper tickets are transferred to the electronic ticket on the path of Seyeddkhandan, it is done on the simulation stop time. The results show that the model 4 is more suitable than other models and has more adaptation than the actual Delay time. And one of the most effective measures that bus companies can do to increase passenger satisfaction is the change in how the travel costs are paid; setting up an electronic payment system and costing each one can lead to a reduction in the length of time passengers boarding and As a result, reduce stop time.

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  • Cite

    APA: Copy

    MAHPOUR, A.R., SHAHEBRAHIMI, E., & Qeraati Sani, P.. (2020). Investigating the Social Impact of Intelligence on Traffic Management. JOURNAL OF TRANSPORTATION RESEARCH, 16(4 (61) ), 35-44. SID. https://sid.ir/paper/83735/en

    Vancouver: Copy

    MAHPOUR A.R., SHAHEBRAHIMI E., Qeraati Sani P.. Investigating the Social Impact of Intelligence on Traffic Management. JOURNAL OF TRANSPORTATION RESEARCH[Internet]. 2020;16(4 (61) ):35-44. Available from: https://sid.ir/paper/83735/en

    IEEE: Copy

    A.R. MAHPOUR, E. SHAHEBRAHIMI, and P. Qeraati Sani, “Investigating the Social Impact of Intelligence on Traffic Management,” JOURNAL OF TRANSPORTATION RESEARCH, vol. 16, no. 4 (61) , pp. 35–44, 2020, [Online]. Available: https://sid.ir/paper/83735/en

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