Intelligent Traffic Management Systems: A review | ||||
| Nile Journal of Communication and Computer Science | ||||
| Volume 5, Issue 1, June 2023, Page 42-56 PDF (1.2 MB) | ||||
| Document Type: Original Article | ||||
| DOI: 10.21608/njccs.2023.321169 | ||||
 View on SCiNiTO | ||||
| Authors | ||||
| Hesham. A. Sakr1; Magda I. El-Afifi2; plvar team2 | ||||
| 1Nile Higher Institute of Engineering and Technology, Mansoura, Egypt , Artificial Intelligence Lab | ||||
| 2Nile Higher Institute of Engineering and Technology, Mansoura, Egypt Artificial Intelligence Lab | ||||
| Abstract | ||||
| Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Traffic management is a key branch within logistics. It concerns the planning, control and purchasing of transport services needed to physically move vehicles (for example aircraft, road vehicles, rolling stock and watercraft) and freight. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. The ITS-based traffic management and control solutions in this evaluation have been divided into four categories: solutions for managing traffic, preventing congestion, and predicting trip times. The solutions, together with the underlying technology, benefits, and limitations, have been described. | ||||
| Keywords | ||||
| Intelligent Traffic Systems; Traffic Management; Traffic jam | ||||
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