The importance of modeling pedestrian behavior has been well recognized in both fields of safety and capacity assessment. Although various theories have been adopted to develop reliable pedestrian walking models, limited effort has been made to shed light on the case at signalized crosswalk, especially during the pedestrian flashing green (PFG) interval. This study fills this gap by developing a microscopic simulation model for pedestrian behavior analysis. First, considering the impact of PFG signal on pedestrian crossing behavior, a three-step framework is proposed to describe pedestrian decision-making process in detail. The desired velocity of pedestrians at crosswalk in PFG phase is defined according to the process. Then, based on this framework, social force model is embedded in a new crossing behavior model, and the parameters, including measurable and non-measurable ones, are either directly estimated based on observed dataset or indirectly derived by maximum likelihood estimation. Furthermore, through simulation experiments, the model performance is verified and some key points for setting criterion of PFG are discussed. Finally, the implication significance of this study and recommendations for future research have also been provided to improve pedestrian safety.

With the rapid development of economy, time of urban residents constantly became more and more valuable, as a key indicator of service performance, travel time reliability has become increasingly important in today's world as businesses as well as households require on-time transportation for their activities, especially for public transport system. In order to reflect the traveler's satisfaction degree on bus operating service and route travel time, this paper redefined the bus route perceived travel time and travel time reliability according to traveler's psychological characteristics, and put forward the travel time reliability modal. Monte Carlo arithmetic is used to estimate the boundary of travel time reliability for heterogeneous risk averse travelers depart off at different time. The proposed travel time reliability not only reveals the service quality of the bus route for bus operation managers, but also provide decision-making basis for travelers to arrange their travel plan. At last, the case study is performed by a typical bus route in Nanjing.

Bus stops represent a key bottleneck that supply loading area for buses to service the passengers, this paper focus on the relationship between bus stop accumulative capacity and parking demand, and provides analytical methodology to measure the probability that bus stop accumulative capacity meet parking demand, which is defined as parking capacity reliability in this paper. Bus arrivals and departs at a multi-routes bus stop is considered as the birth and death process, In view of co-ordination of supply and demand, we establish the parking capacity reliability model for multi-routes bus stop with multi-parking spaces, and based on the sensitivity analysis of parameters, this paper further discuss how the available parking space, average parking time as well as amount of bus lines impact on bus stop parking capacity reliability, aiming at providing essential reference for bus stop design and optimization. Finally, the model is applied to evaluate the operational situation of an actual bus stop in Chongqing, China, and methods for improvement are put forward based on the analysis.

The cities in China are in motorization and urbanization, and being in rapid development stage, the structural evolution of urban public passenger transport is also at a critical stage. In order to analyze evolution trend and optimization of urban public passenger transport structure, this paper considered public passenger traffic flow as a state variables, established public passenger traffic flow competition and coordination evolution models, basing on some method of Dissipative Structure Theory (DST) and passenger transport system structure evolution. By using simulation method with MATLAB, this research analyzes passenger transport structure evolution trends of the big city in different parameters, and more coordinated manner conditions.