Review on techniques for traffic jam detection and congestion avoidance

Abstract

Transportation is the backbone for any economy. As the number of vehicles is increasing day by day, traffic jams or congestions are very common. Jams are not only frustrating, but also increases air pollution. It has adverse effect not just for our climate, but everybody's health too. Most ITS techniques are not capable to solve the problem of traffic congestions in developing regions due to high cost and assumptions of orderly traffic. This paper focuses on the techniques used for detecting the traffic jam and for avoiding congestion on roads. The survey is done to study the challenges faced by current vehicle detection techniques and the solution provided for reducing and avoiding congestion. In the end we conclude that a GPS based system can be a better alternative technique for traffic jam detection as it can monitor the whole road network and require low installation cost and can be incorporated with the strategies for congestion avoidance which will help to improve the traffic flow.

Development of Rewarding System for Solving Traffic Congestion in Saudi Arabia

“…All of the work presented above led to a proposed traffic management system. Dubey and Borkar conducted a review study on techniques for reducing and avoiding congestion [5]. For jam detection, an image-processing technique is used to calculate vehicles density by processing pictures coming from cameras or videos.…”

“…Other techniques that are used for congestions avoidance include: vehicle re-routing, which applies a prediction algorithm that uses previous collected data and real-time traffic data [29], [24]; a VANETbased technique that allows vehicle communication to share traffic information, thus allowing drivers to select a different route to avoid traffic [25] , [30]; and traffic-light timing optimization, which presented different algorithms to improve traffic flow in case of an emergency [31], [32], [33].…”

Urban public bicycle dispatching optimization method

“…The main method of scheduling area division is model method (Dubey & Borkar, 2015) and clustering algorithm (Sun, Zhang & Du, 2015). The model method requires abstract research, and there are many constraints and it is not easy to solve.…”

Mining Traffic Congestion Correlation between Road Segments on GPS Trajectories

“…In [10] [5], the authors studied the traffic flow propagation by simulation. In [11] [12], the authors reviewed several approaches on traffic density estimation, detection and avoidance. In [4] [13] [3] [14], the authors studied the impact and correlation on weather, accident, employment, safety, respectively.…”