Efficient Taxi Dispatching System in Distributed Environment

Big Data Analytics is the process of examining a large volume of data which is collected from various sources. It plays a vital role in Intelligent Transportation Systems. Taxi is absolutely the most prevailing type of on-demand transportation service in citified areas because they offer more and better services and also it provides a comfortable travel to the passengers. But it makes the metropolitan areas to suffer from inefficiencies of taxis due to the uncoordinated management of the dispatch systems. Many transport organizations stumble to provide the proper dispatching of the vehicles. Hence an effectual taxi dispatching system is provided using Hadoop map reduce framework. The main goal of this system is to produce an optimized dispatch for anticipated future request for taxis thereby minimizing the total idle driving distance. This is achieved by making predictions in the historical data. The predictions helps the taxi dispatching system to locate more taxis in the predicted areas. This helps in balancing the demand supply ratio and also increases the utilization of taxis there by providing better customer satisfaction.