A Systematic Review on Urban Road Traffic Congestion

被引:8
作者
Jilani, Umair [1 ,2 ]
Asif, Muhammad [1 ,3 ]
Zia, Muhammad Yousuf Irfan [1 ,4 ]
Rashid, Munaf [1 ]
Shams, Sarmad [5 ]
Otero, Pablo [4 ]
机构
[1] Ziauddin Univ, Dept Elect Engn, Karachi, Pakistan
[2] Sir Syed Univ Engn & Technol, Dept Telecommun Engn, Karachi, Pakistan
[3] Sir Syed Univ Engn & Technol, Fac Comp & Appl Sci, Karachi, Pakistan
[4] Univ Malaga, Dept Commun Engn, Malaga, Spain
[5] Liaquat Univ Med & Hlth Sci, IBET, Jamshoro, Pakistan
关键词
Intelligent transportation systems; Traffic congestion; Urban roads; PRISMA rules; Systematic review; CONVOLUTIONAL NETWORKS; FLOW; DEEP; PREDICTION; MODEL;
D O I
10.1007/s11277-023-10700-0
中图分类号
TN [电子技术、通信技术];
学科分类号
0809 ;
摘要
The city's infrastructure is considered the backbone of any country's development process and there are numerous factors that contribute to its growth. Among these factors, proper management traffic management is crucial. The increasing traffic density poses challenges to the current infrastructure, especially in developing countries, leading to issues such as congestion and security. Technological advancements have introduced intelligent transportation systems that offer innovative mobility solutions and promote sustainability. To provide better solutions, a systematic review was conducted following the PRISMA rules. Three electronic databases, namely IEEE Xplore, Science Direct, and Wiley, were searched using specific keywords. Research articles were identified, accessed, and included in the review based on the PRISMA rules. This systematic review explores various approaches used for predicting, detecting, and analyzing congestion levels on urban roads. These approaches are categorized based on their datasets, results, and comparison with other available algorithms. Additionally, the discussions expand on the advantages and limitations of different categorical approaches.
引用
收藏
页码:81 / 109
页数:29
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