Urban Transport: Traffic and Transportation Planning

1079 Words3 Pages

AIM AND OBJECTIVES The aim of the project is to design and develop a novel web based application that can dynamically recommend the best route and estimate the travel time for urban transport. The objectives of the project are the following: 1) To utilize the real-time data being generated and captured from the GPS installed in MTC buses on selected routes in the city. 2) To analyse this data and to make inferences on the traffic scenario along these routes. 3) Efficient data structures and parallelized implementation of algorithms to be integrated into the existing design to improve the response time. 4) To build a web based application that can respond to queries on route and time. 5) To extend the application onto a mobile platform as well 6) To study the possibility of integrating machine learning strategies for further enhancements THE SOLUTION CHOSEN: In order to recommend the best route at any given point of time and to estimate the travel time for an indicated route the basic information required is the current rate of flow of traffic on the roads under consideration. This information can be captured by 1) using infrastructure placed on the roadside 2) using infrastructure placed inside vehicles Several approaches have been used to capture the flow of traffic by using various kinds of devices placed along the road side. Due to several limitations in this approach placing infrastructure within vehicle was found to be a better solution. “Internet of Vehicles” a domain specific application of the emerging “Internet of Things” will soon be the technology enabler that will provide the required data for such real-time traffic analyses. Currently GPS systems placed inside the MTC buses on selected routes provide the... ... middle of paper ... ...et, we can store the number of segments which contain the given point instead of outputting the segments which contain the point. This uses O(log n) query time, so is optimal. This novel idea definitely aids this by supplying the user with shortest routes. Thus the best route can be chosen from the options displayed based on traffic information. This simple idea can be used not only to help the users get over this but also aid the government in traffic and transportation planning based on the data supplied from sensors. Likewise it can be extrapolated to include the starting time and the system can predict the destination arrival time (in terms of current traffic) and predict the start time to reach the destination at a specified time. Or the system can even output routes which fits inside a duration of time allotted by the user to reach his choice of destination.

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