The DOI matches its Crossref record; 31 of the 31 references it cites were found in a registry or an index.
A Survey of Road Traffic Congestion Measures towards a Sustainable and Resilient Transportation System
Open accessAbstract
Traffic congestion is a perpetual problem for the sustainability of transportation development. Traffic congestion causes delays, inconvenience, and economic losses to drivers, as well as air pollution. Identification and quantification of traffic congestion are crucial for decision-makers to initiate mitigation strategies to improve the overall transportation system’s sustainability. In this paper, the currently available measures are detailed and compared by implementing them on a daily and weekly traffic historical dataset. The results showed each measure showed significant variations in congestion states while indicating a similar congestion trend. The advantages and disadvantages of each measure are identified from the data analysis. This study summarizes the current road traffic congestion measures and provides a constructive insight into the development of a sustainable and resilient traffic management system.
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Cites
Recycling lithium-ion batteries from electric vehicles
Harper, G., Sommerville, R., Kendrick, E., Driscoll, L., Slater, P., Stolkin, R., Walton, A., Christensen, P., Heidrich, O., Lambert, S., et al. (2019) · Nature · doi:10.1038/s41586-019-1682-5 · Cited by 3,890
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Resilience in transportation systems: a systematic review and future directions
Wan, C., Yang, Z., Zhang, D., Yan, X., & Fan, S. (2018) · Transport Reviews · doi:10.1080/01441647.2017.1383532 · Cited by 440
A Survey on Urban Traffic Management System Using Wireless Sensor Networks
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Pareto-optimal resilient controller placement in SDN-based core networks
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Self-citation
Cited by
Singh, R., Sharma, R., Vaseem Akram, S., Gehlot, A., Buddhi, D., Malik, P. K., & Arya, R. (2021) · Safety Science · doi:10.1016/j.ssci.2021.105407 · Cited by 163
Kanellopoulos, D., Sharma, V. K., Panagiotakopoulos, T., & Kameas, A. (2023) · Electronics · doi:10.3390/electronics12112490 · Cited by 120
Testing and Verification of Connected and Autonomous Vehicles: A Review
Alemayehu, H., & Sargolzaei, A. (2025) · Electronics · doi:10.3390/electronics14030600 · Cited by 23
Metadata
- Authors
- Afrin, T., & Yodo, N.
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2020-06-07
- Volume
- 12
- Issue
- 11
- Pages
- 4660
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W3033940652
- Cited by
- 466
- References
- 31
- FWCI
- 49.10
- Type
- journal article
- Language
- en
- Open access
- gold
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
