Nowadays chronic traffic congestion is a severe problem in Indian cities. Although some countermeasures, such as highway construction and the expansion of public transportation, were done, it doesn't seem to be enough to manage the rapid increase in traffic demand. In order to take more useful measures, grasping the traffic situation precisely seems to be needed. Looking at the metropolitan area in India, taxi is one of popular transportation. It is said that the taxi fare in Delhi is the cheapest in the world, and the middle class people often use a taxi in daily life. Hence, understanding the taxi behavior is important. For this purpose, probe data or floating car data is widely used nowadays. Drivers' behavior, such as their usual routes and the strategy of their business, were analyzed. In more micro-scale, some researches revealed the features which affected drivers' route choice behavior. However, these researches were done mostly in developed countries and there are few analyses in developing countries like India because of lack of data volume, although traffic situation there is totally different from that in developed countries. Therefore, the aim of this research is to get good knowledge about Indian taxi drivers' behavior using long-term probe data. For example, for what purpose do people in Indian cities use taxi, where do taxi drivers wait for the customer, and which factors would impact their such behavior. We got the taxi probe data in the whole of India for more than one-year duration and analyzed focusing on 10 metropolitan cities.
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