The 68th JSAP Spring Meeting 2021
Mar 16 - Mar 19, 2021Online Virtual Meeting
The 68th JSAP Spring Meeting 2021
Mar 16 - Mar 19, 2021Online Virtual Meeting
[17a-Z04-9]Analysis of waiting time of delayed buses using machine learning
〇Haruya Sekiguchi, Sota Orimo, Taisei Kawakami, Tetsufumi Tanamoto
Keywords:
traffic jam,machine learning
Buses in urban areas are prone to the stress of commuting due to
delays caused by various factors. Especially when there is a lot of
traffic turbulence such as when it rains, the buses do not arrive at
the stop on time, and when the bus arrive, a couple of buses arrive in
a row (called a connected bus). In this presentation, we modeled a
circulating bus and performed a simple simulation. Next, we performed
a frustrating analysis by machine learning, and report the results
delays caused by various factors. Especially when there is a lot of
traffic turbulence such as when it rains, the buses do not arrive at
the stop on time, and when the bus arrive, a couple of buses arrive in
a row (called a connected bus). In this presentation, we modeled a
circulating bus and performed a simple simulation. Next, we performed
a frustrating analysis by machine learning, and report the results