With the development of Internet and data mining technology, there are many areas where we can except open data to be of value such as traffic control and environmental pollution.
This research focuses on mining time and geography information from the open data of Nagoya City bus in order to estimate traffic light information. We propose to extract the bus traffic time and distance between two adjacent bus stops and calculate the time during which bus is stopping by a red traffic light, and using statistic processing, in order to analyze it and estimate the red traffic light time.
As an example of test, comparing the red traffic light time of a traffic light near Nagoya University estimated by bus open data with the actual time, the result is less than 16% error.And we will improve the processing for estimation of timetable of traffic light transition.