Comprehensive Passenger Transport Hub Research Articles

A simulation-based metro train scheduling optimization incorporating multimodal coordination and flexible routing plans

The promotion of multimodal coordination is of great significance to the joint development of diversified urban transportation systems. Focusing on an urban comprehensive passenger transport hub (UCPTH) that converges both inter-city modes and multiple inner-city modes, this study aims to customize a bridging metro train operation plan with the utilization of multimodal passenger simulation. A bi-objective integer nonlinear programming model (INLP) incorporating train schedule and flexible routing plan is proposed to minimize passenger waiting time and operating costs simultaneously. Notably, a real-time flow prediction method based on Monte Carlo simulation and queuing network system is proposed and embedded in the optimization model framework to reflect the difference of individual passengers’ transfer walking time and thereby provide detailed passenger distribution on the platform for metro hub stations connecting UCPTH. Compared with the estimation using historical data, this method can particularly support the scheduling coordination of metro and other modes during an abrupt change of arrival flows. Moreover, to solve the collaborative optimization model tractably, the ε-constraint method based on a tailored variable neighborhood search algorithm is developed to generate approximate Pareto optimal solutions, including the number of effective trains, demand-sensitive headway, the route pattern of each effective train, and train dwell time. Finally, two sets of numerical experiments, including a small-scale case and a real-world hub-metro network instance are conducted to demonstrate the effectiveness of the proposed approaches. The study associated with the findings can benefit both metro providers and users especially those who need to transfer to the metro system at hubs by achieving the best match between passenger and train flows in temporal and spatial domains.

Passenger Flow Prediction of Integrated Passenger Terminal Based on K-Means–GRNN

As the passenger flow distribution center cooperating with various modes of transportation, the comprehensive passenger transport hub brings convenience to passengers. With the diversification of passenger travel modes, the passenger flow scale gradually increases, which brings significant challenges to the integrated passenger hub. Therefore, it is urgent to solve the problem of early warning and response to the future passenger flow to avoid congestion accidents. In this paper, the passenger flow GRNN prediction model is proposed, based on the K-means cluster algorithm, and an improved index named BWPs (Between-Within Proportion-Similarity) is proposed to improve the clustering effect of K-means so that the clustering effect of the new index is verified. In addition, the passenger flow data are studied and trained by combining with the GRNN neural network model based on parameter optimization (GA); the passenger flow prediction model is obtained. Finally, the passenger flow of Chengdu East Railway Station has been taken as an example, which is divided into 16 models, and each type of passenger flow is predicted, respectively. Compared with the traditional method, the results show that the model can predict the passenger flow with high accuracy.

Status and Problems in Location Model Research for Guidance Signage in Comprehensive Passenger Transportation Hubs

Status and Problems in Location Model Research for Guidance Signage in Comprehensive Passenger Transportation Hubs

Analysis of Influence Factors of Comprehensive Passenger Transport Hub Parking Pricing

With the development of society and economy, motor vehicle ownership increased rapidly. The difficulty of Comprehensive Passenger Transport Hub parking has become an important problem of inhabitant trip. Parking charge policy as one of the most widely used control method. On the change of resident trip mode, alleviating the traffic jam and reducing environmental pollution has played an important role. Parking prices to determine various factors must be considered. This paper used Analytic Hierarchy Process to evaluate parking formulation factors. The importance of various factors obtained with targeted put forward some policy Suggestions. To ensure the parking charge measure should be social effects.

Study on Influencing Factors of Passenger Transfer and Transfer Volume in Comprehensive Passenger Transport Hub

Comprehensive passenger transport hub, the intersection of various means of transportation, its main function is to achieve "zero distance" transfer among different transportation means, meet travelers needs for efficient, safe, convenient and comfortable transfer, and maximize the services level of urban passenger transport. This paper conducts a research on influencing factors of passenger transfer in comprehensive passenger transport hub and the transfer volume of different transportation means. The result not only provides technical support for design of comprehensive passenger transport hub in future, but also shows application value in optimizing facilities of hub, and improving pedestrian traffic and self-organization science.

Modeling of Distribution Service Network System in Comprehensive Passenger Transportation Hub

Distribution service network system (DSNS) has dynamic, open, pop and other nonlinear characteristics in terms of structure, environment, and behavior as a subsystem of comprehensive passenger transportation hub system (CPTH). It is a typical complex system. The author putted forward the adaptability of DSNS based on the analysis of complexity of DSNS and analyzed the driving force of adaptability. The model of individual agent and self-adaptive control model of DSNS were designed to provide a dynamic method for adjusting control strategy based on multi-Agent method and CAS theory.

A Parking Demand Forecasting Method for Urban Comprehensive Passenger Transport Hub Oriented High-Speed Rail

Although traffic development brings convenience to citizen, problems such as parking, traffic transferring, caused by passenger transport hub have aroused extensive attention from society. Based on teasing parking demand hierarchy and willingness choice, concept of expected utility is introduced to uncover logical relationship among transport hub, influence factors, and parking demand. Data about parking facilities and their characteristics, parker desire, characterization parameters related with hub, are surveyed and collected to analyze and confirm the key influence factors on the basis of urban comprehensive passenger transport hub oriented high-speed rail, for setting up the relation model between parking demand at synthesis passenger hub and its impact factors, which is used to propose the forecasting method of parking demand at the comprehensive passenger transport hub oriented high-speed rail.