Vehicle Traffic Management with the Help of Big Data Technologies

Nowadays, traditional data management tools can’t anymore manage the voluminous data which is generated by different domains, that’s why big data was born to remedy this kind of problem and it becomes very essential to many domains and without its support the task is very difficult to manage; one of those domains that uses big data technologies is vehicular ad-hoc network to manage their voluminous data. In the present paper, we first propose a method that detect anomalies in the road, and secondly we calculate the time spent in each road section in real time, and then we construct a base which will contain the estimated time spent in all sections on the road in real time, this base will provide a way to send to vehicles an accurate estimated time of arrival all along their way, not only this but the base will also provide a way to detect an accident or anomaly in a section on the road in real time.