In this paper a navigation system for mobile phones is proposed that optimizes vehicle routing using road and traffic information to avoid traffic congestion. Congestion causes inefficiency of transportation infrastructure and increase the total travel time. It also raises the level of air pollution, and fuel consumption and hence damages the environment. The current location of the car or the user is tracked by GPS enabled phone and the system then checks the database for any road constructions, car accidents or other incidents that driver should avoid in his vicinity. The proposed system also suggests a possible re-route to the destination by calculating the shortest path through A* algorithm excluding the point of traffic jams. Apart from facilitating the user, this location based perosonalized service will also increase the data usage of the mobile user and hence, lends a great support to the telecom operators.
Ahsiract -Friction plays a key role in causing slipperiness as a low coefficient o f friction on the road may result in slippery and hazardous conditions. Analyzing the strong relation between friction and accident risk on winter roads is a difficult task. Many weather forecasting organizations use a variety of standard and bespoke methods to predict the cocfticient o f friction on roads. This article proposes an approach to predict the extent of slipperiness by building and testing an expert system, I t estimates the coefficient of friction on winter roads in the province of Dalarna, Sweden using the prevailing weather conditions as a basis. Weather data from the Road Weather Information System, Sweden (RWIS) was used. The focus o f the project was to use the expert system as a part of a major project in VITSA, within the domain of Ihtclligent Transport Systems.
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