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Web-based Travel Time Information
As real-time information of traffic systems can benefit travelers in managing their trip and making optimum decisions, Advanced Traffic Information and Management Systems (ATIMS) have been the kernel components of modern Intelligent Transportation System (ITS) technologies. Travel time is a key performance measure on road link and network, and can be simply defined as the time necessary to traverse a route between any two points within a road transportation network. In reality, travel times between any pair of points are subject to fluctuations due to stochastic variation of traffic characteristics and interactions between demand and supply on road networks. Thus, estimation and prediction of travel time become an essential part for any ATIMS system with objective to provide real-time traffic information to users and to affect traffic assignment through real time information and guidance in order to decrease congestion delay on a road network.
This thesis has an objective to develop a prototype web-based system to support analysis and visualization of travel time data on the road network of Stockholm by the Automated Vehicle Identification (AVI) system, an image-processing based surveillance system.
Students from computer science and engineering or other related departments and corresponding international master programs in KTH or other universities who are in the final stage (certain credits required from KTH) of their master degree education and have solid analytical skill as well as software ability in web computing (such as Java, Ajax, Google API, Eclipse etc.), basic database knowledge are welcome to contact us.
Xiaoliang Ma, Centre for Traffic Simulation Research, visiting address: Teknikringen 72, CTR, Email: [email protected]; Tel: 7908426
Informationen om uppsatsförslag är hämtad från Nationella Exjobb-poolen.