Operational Analysis of an Intelligent Traffic Management System on the Zijingang Campus of Zhejiang University

摘要

An intelligent traffic management system (ITMS) was established on Zijingang Campus of Zhejiang University to control traffic flow. This paper aims to investigate the traffic flow and assess the ITMS system using the queueing approach. As the results show, the probability distribution of car residence time obeys gamma distribution. More than 4/5 of the cars are free to get into the campus, which proves the non-profit property of the toll gate. The probability distribution of arrival time and service time fits the negative exponential distribution and normal distribution, respectively. Then, the M/G/K model based on queueing theory was applied to investigate traffic capacity. The queueing length and waiting time in 2-lane and 3-lane conditions were calculated and service level was judged as C-level. The results can provide useful information for easing traffic congestion on the campus.