Traffic and Movement Pattern Analysis Using Bluetooth and Wi-Fi Sensor Network’s Data: A Case Study of Tehran’s 12 District

Sustainable development is the main target of major city’s municipalities across the world. To pursue such end, smart mobility plays a major role. Drivers and pedestrian data analysis and Travel time computation is one of the large components of smart mobility. Development of such system has got many applications including providing the insight into traffic patterns along different districts of the city and different occasions of the year, movement patterns across the city, OD analysis, development of a predictor machine, event management, discovery of highly and lowly traversed routes, urban roads development and drivers’ information system. Mana-Rayka system development corporation has put a network, hardware and software framework together in order to generate such analysis and information. In this paper, it is aimed to demonstrate a comprehensive collection of analysis exploiting the network of our Bluetooth and Wi-Fi sensors installed across the capital city. Such information and exploration includes density variations of vehicles and pedestrians, travel time variation, OD analysis and identification of highly and lowly traversed routes. The location of investigation is district 12 of Tehran.

Keywords:

Travel time , Wi-Fi sensors , Bluetooth sensors , traffic patterns , movement patterns