With the increasing global population and emerging technologies, there is a pressing need for efficient traffic management systems. Unfortunately, the traditional traffic control system, which relies on tri-colour signals is unable to prioritize emergency vehicles or control traffic effectively. Resulting in accidents, loss of life, and traffic congestion. However, recent technologies such as GPS, which provides live traffic data and emergency vehicle tracking, Artificial Intelligence (AI) and Deep Learning (DL), which can predict traffic solutions, Cloud Computing it processes the data and Internet of Things (IoI), which collects real-time data and offers promising solutions. Some of the challenges include the integration of various technologies, complexity in algorithms, scalability concerns, security and privacy. In this paper, we present a study on the role of AI, IoT and GPS in traffic management, proposing a better traffic signal management system that reduces congestion, prioritizes emergency vehicles, reduces commuting time and tracks vehicles.
Intelligent Traffic Monitoring, Prioritizing and Controlling Model based on GPS
2023-03-14
752156 byte
Conference paper
Electronic Resource
English
Prioritizing traffic flow based on vehicle-caused road degradation
European Patent Office | 2019
|A Review on Cloud-Based Intelligent Traffic Controlling and Monitoring System
Springer Verlag | 2017
|Prioritizing Traffic-Calming Projects Using the Analytic Hierarchy Process
Transportation Research Record | 2000
|Data-Driven Methodology for Prioritizing Traffic Signal Retiming Operations
Transportation Research Record | 2019
|