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With over 1 billion vehicles in operation over the world1 and steadily growing cities, intelligent traffic management has become inevitable in order to preserve quality of life as we know it. Analyzing and predicting the movement behavior of traffic participants helps providing forward-looking solutions and plays a major role in intelligent traffic systems (ITS), in the field of location and handoff...
An increasing number of people use smartphone applications to plan their trips. Unfortunately, for various reasons, bus trips suggested by such applications are not as reliable as other trip types (e.g. by car, on foot, or by bicycle), which can result in excessive waiting time, or even the need to revise a planned trip. Traditional punctuality-based bus service reliability metrics do not capture...
With the increase in the number of cars in big cities, it has become a nightmare for car owners to find available parking spaces. Some studies report that around 25-30% traffic on the roads are cars finding available spaces for parking. While many researches have been conducted to create a smart parking system, most of them only focus on some particular areas and environments without any common standards...
The need for a real-time public transport information system is growing steadily. People want to plan their city commutes and do not like waiting for long hours, nor take a long route to reach their destination. The proposed hardware solution in this paper computes the shortest path to reach the destination in real time and gives that information to the bus driver. Artificial Neural Networks (ANN)...
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