Analysis of Network Traffic Capacity Based on Travelers Considering Travel Behavior Choice

The practical experience of traffic development indicates that there are some problems in increasing network traffic capacity by traditional means ignoring travel behavior. In order to increase the current capacity, this paper focuses on studying the relationship between network traffic capacity and travel behavior choice and explores a way to select individuals as objectives to study the network traffic capacity. Based on the space-time consumption method, the relationships between travel speed, travel distance, travel mode, and traffic capacity are discussed, respectively; the specific influence trends of these three aspects are obtained. This paper constructs a simple traffic capacity model considering mode choice under a certain modal ratio, and the internal binary logit model is calibrated by revealed preference (RP) survey in peak hour in Tai’an. This paper can provide reference for the calculation and modeling of traffic capacity, as well as suggestions for relevant departments in traffic demand management.