Attempting road network traffic flow analysis in Kochi city urban area based on bus probe data

Abstract

Although traffic detector data is often used to understand road traffic state, traffic detector is mainly installed at main traffic signalized intersection. Therefore, it is known that understanding the traffic state has difficulty at the area which traffic detector is not installed with high density. This paper describes the possibility to understand road network traffic state using bus prove data which is operating with same time table and route even if it is rural city. Especially, this paper is focusing on the comparison of the characteristics of Macroscopic Fundamental Diagram drawing by traffic detector data and bus prove data as case study in Kochi city. In addition to that LSTM model which is known as the one model of machine learning approach has been applied using collected bus prove data. The results of developed LSTM model showed that bus prove data usability of road network traffic state analysis since it can understand the change of traffic state at congestion period on weekdays.