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The Development of Intelligent Transportation Systems

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Intelligent Transportation Systems (ITS) have received much attention in recent years in academia, industry and standardization entities due to their wide impact on people's life as their scope to provide vital applications and services to improve transportation safety and mobility and to optimize the usage of available transportation resources and time. ITS applications and services rely on advanced technologies to be deployed and distributed among the intelligent infrastructure systems and vehicles system. Mainly, these technologies include but not limited to physical world perceive technologies that able to perform real world measurements and convert them into the digital world, processing and storage capabilities that operate on the digital measurements by storing, analyzing them and communication technologies include wired and wireless technologies to exchange the collected data among the vehicles them self and also to their infrastructure and vice versa.

GPS tracking devices stand at the core of the enabling perceive technologies for ITS applications and services. Indeed, the number of vehicles' GPS-enabled On-board Unit has sharply increased due to their vital and beneficial rules for both the vehicles and the drivers. GPS-based services include in-vehicle satellite navigation, vehicle security system, accident notification and tracking along with monitoring to name few. Although most of GPS-based application depend on real time information collection, the historic GPS collected data intrinsically has great potential for further offline based application such as compute the journey speed, congestion monitoring, accidents deep analysis such as reason and driver's behavior.

This project aims to build an open framework that...

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...long the trip on a digitized map such as open street maps (OSM) each street segment has different attributes such as the street category (pedestrian, highway or motorway) each category has a maximum allowed speed attribute. Here, we record the number of times a vehicle violates these speed limits and the corresponding violation time durations. The resulted information is compared to predefined threshold and limits which allows the system to decide whether the vehicle violated the traffic regulations or not at a given trip. After running our model for long enough periods, we expect that tracking and ticketing system can be fed by authorized department which can be utilized to get clear view about infrastructure which can be used for developing and planning to improve the infrastructure on some field or apply some regulations which will aim to reduce traffic accidents.
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