11:15 AM - 11:30 AM
△ [17a-Z04-9] Analysis of waiting time of delayed buses using machine learning
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