Abstract:
Transportation functions are essential for the growth of any country and are capable of bringing advantages to society. In general, the connection between financial well-being and good transportation is widely recognized. Policymakers, transport planners, traffic technicians and the private sector involved in the development of new transport systems are continually looking forward to finding alternatives to reduce power consumption, land use, congestion, injuries and money necessary to construct new transport facilities. As a direct result, developing nations have changed their priorities from expensive infrastructure and transport policies to more balanced and viable transport alternatives such as the ITS. It implicitly maintains sustainability promise.
ITS is an advanced system that implements current or emerging computer, communications, data, and vehicle-sensing technologies to coordinate transportation systems in a secure and effective way, monitor traffic conditions, traffic flow control, and provide driving public data on traffic circumstances.
ITS can help travelers and drivers in various ways. It can help drivers make informed decisions about planning their route and estimate their travel time, thus reducing the travel time and congestion.
The present report is an effort to review the concept and studies on Intelligent Transportation Systems (ITS) carried out around the world to examine their performance and effectiveness. After the review of ITS, a study area is chosen in Delhi and the current traffic scenario and parameters are analyzed. From the data collected from the study route, a Travel Time Prediction Model is created using multi-linear regression analysis. The travel time obtained from the model is then used to determine Congestion Scenario using Congestion Index (CI) and the most problematic sections of the study route are identified
