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Traffic Problems in Michigan and Using Intelligent Transportation Systems to Solve
Chaudhry Abu Bakar Imran
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DOI:doi: 10.17265/2328-2142/2025.01.002
Department of Civil and Environmental Engineering, Michigan State University, East Lansing, Engineering Building, 474 S Shaw Ln Room 3546, East Lansing, MI 48824, USA
The aim of this study is to determine the level to which the public is aware about ITS (intelligent transportation systems) technologies and how they perceive the potential advantages and inhibitors of ITS in Michigan. A survey was performed with 200 participants living in Michigan, in urban, suburban and rural areas. Questions covered in the survey included how often and how bad traffic congestion occurred, how familiar travelers were with ITS technologies (adaptive traffic signals, real time monitoring of the traffic) and how much support travelers would provide for ITS initiatives. Results reveal that there is a high degree of traffic congestion awareness, there is low public awareness of ITS technologies. While respondents who were aware of ITS solutions had positive views about deploying them, especially in urban areas, they were less supportive of ITS solutions than they were among those who did not know much about these. Factors including area of residence, commute time and age were perceived to influence ITS along with more positive attitudes to ITS amongst urban dwellers and younger respondents. Analysis of key barriers to ITS implementation reflected high initial costs, challenges with technical integration and users’ concerns surrounding privacy.
Traffic congestion, ITS, ITS awareness, public perception, traffic management, Michigan, survey, environmental impact, economic benefits, public support.
Journal of Traffic and Transportation Engineering 13 (2025) 17-27
doi: 10.17265/2328-2142/2025.01.002
[1] Chen, W., and Li, H. 2023. “Understanding the Challenges of Implementing Intelligent Transportation Systems in Rural Areas: A Case Study.” Journal of Transportation Engineering 148 (7): 04022011. https://doi.org/10.1061/(ASCE)TE.1943-5436.0000912.
[2] Zhao, J., Liu, F., and Liu, T. 2021. “Overcoming Technical Barriers to the Adoption of Intelligent Transportation Systems: A Focus on Data Integration.” Transportation Research Part C: Emerging Technologies 127: 103192. https://doi.org/10.1016/j.trc.2021.103192.
[3] Kumar, S., Singh, R., and Mishra, P. 2022. “Bridging the Gap: ITS Adoption in Rural Traffic Management.” Journal of Intelligent Transportation Systems 26 (4): 345-58. https://doi.org/10.1080/15472450.2022.2073456.
[4] Yuan, Z., Tang, H., and Zhou, L. 2023. “Exploring the Causes of Urban Traffic Congestion: A Systematic Review.” Transportation Science 57 (1): 234-49. https://doi.org/10.1287/trsc.2023.1123.
[5] Shah, M., Patel, R., and Desai, V. 2022. “Addressing Construction-Induced Congestion Using ITS Solutions.” International Journal of Traffic and Transportation Engineering 12 (3): 78-89. https://doi.org/10.5390/ijtte.2022.78.
[6] Park, J., and Lim, S. 2022. “Urban ITS Implementation: Lessons from Adaptive Traffic Management Systems.” Journal of Urban Planning and Development 148 (2): 04022011. https://doi.org/10.1061/(ASCE)UP.1943-5444.0000763.
[7] Rahman, M., Khan, R., and Karim, S. 2021. “Effectiveness of Real-Time Traffic Monitoring Apps: A Meta-Analysis.” Transportation Research Part C 129: 103184. https://doi.org/10.1016/j.trc.2021.103184.
[8] Chen, X., Li, Y., and Wang, J. 2021. “The Environmental and Economic Impacts of Urban Traffic Congestion: A Case Study.” Transportation Research Part D 93: 102823. https://doi.org/10.1016/j.trd.2021.102823.
[9] Liang, Z., Zhao, J., and Wang, M. 2023. “The Impact of Adaptive Traffic Signals on Urban Air Quality.” Environmental Science & Policy 144: 150-60. https://doi.org/10.1016/j.envsci.2023.01.012.
[10] Liu, J., Chen, Y., and Zhang, W. 2022. “Enhancing Public Perception of ITS through Education and Awareness Campaigns.” Transportation Research Interdisciplinary Perspectives 14: 100613. https://doi.org/10.1016/j.trip.2022.100613.
[11] Nguyen, T. T., Tran, Q., and Le, P. 2023. “Age-Based Receptiveness to Smart Transportation Technologies.” Transportation Research Part F 94: 138-49. https://doi.org/10.1016/j.trf.2023.03.002.