Bus Stop Waiting Time Estimation Models at Different Locations

Bus stops are divided into midblock stops and nearside stops near the intersection in this paper. A total of 7-day data during peak hours were collected at the Daliushu North Stop and Erligou West Stop. To analyze the distributions of passenger arrival rates, the passengers at stops near the intersection are divided into two groups depend on whether the passengers’ arrival behavior are influenced by signal or not. The distributions of passenger arrival rates at different stops are determined. The results show that the passenger arrival rates for midblock stops and nearside stops near the intersection where the passengers’ arrival behavior are not influenced by signal follows a gamma distribution. The passenger arrival rates for nearside stops near the intersection where the passengers’ arrival behavior are influenced by signal follows a lognormal distribution. Waiting time models are derived and proven to be reliable based on the determined distributions of passenger arrival rates.