Comprehensive Passenger Transportation 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.

Analysis on the Development Orientation of the Golden Channel of Passenger Roll Transportation in Qiongzhou Strait under the New Era

Combined with the favorable situation of passenger roll transportation in Qiongzhou Strait in the new era, following the guidance of liner policy and the macro market demand closely, the passenger roll transportation in Qiongzhou Strait is defined as the “golden channel” serving the national economy and people’s livelihood, which is judged as the economic development channel, tourism support channel, agricultural and trade transport channel, residents’ communication channel, green travel channel and combat readiness support channel, and is also committed to promoting the construction of modern, scientific and reasonable comprehensive passenger and cargo transportation channels, to provide high-quality development services for the Qiongzhou Strait water passenger and passenger transportation.

Route Configuration Method for Highway Passenger Hubs from the Perspective of Transportation Integration: A Case Study of Nanjing, China

As a result of transportation integration, the role of highway passenger transport hubs has changed dramatically; these nodes act as important links to construct a seamless regional comprehensive passenger transport system which reflects the coordination and symmetry of public transportation and the integrated transportation system. In order to optimise the efficiency of transportation organisation and improve the quality of passenger transport services, in this study we developed an optimisation method for the allocation of passenger transport hubs based on the analysis of passenger flow demand and spatial distribution. Configuration models of the departure sites of single-station and multi-station hub lines were established according to the service scope of the stations and the relative generalised travel cost, respectively. The overall optimisation method of the route allocation scheme was proposed by checking and optimising the passenger volume of each station. The developed methodology was successfully validated by applying it to the highway passenger transport hub system of Nanjing, China. The proposed methodology is expected to help management agencies and business operators to optimise existing highway passenger bus lines, thereby improving the quality of their services.

Optimization of Passenger Transportation Corridor Mode Supply Structure in Regional Comprehensive Transport Considering Economic Equilibrium

Reasonable transportation network layoutsarecritical for optimizing a comprehensive transport system. With the gradual development of a transportation industry from quantitative expansion to structural optimization, and transformation of various transportation modes from independent operation to integrated development, traditional comprehensive transport planning theories and methods have not adapted. In thispaper, a new planning concept is proposed from the perspective of economic equilibrium with theaim ofoptimizing a supply structure for a comprehensive transport passenger transportation corridor. An in-depth analysis was conducted of the internal mechanism of the dynamic equilibrium between supply and demand of this corridor,wherein the maximum of the globaltransportation demand subjectcustomer surplus wastaken as a target function, respective interest functions of a demand subject and a supply subject served as constraints to quantitatively optimize the supply structure of the passenger transportation corridor in comprehensive transport, and a Gradient Descent algorithmwasdesigned. The results show that the proposed model better reflectstheeconomic operation mechanism of a passenger transportation market in a comprehensive transport corridor (CTC), and prove that the supply structure of CTC is closely related to passenger flow, travel value distribution, a supply subject's scale rate of return,and travel time. These research results have important academic values in terms of improving passenger transportation corridor structure optimization in region-specific comprehensive transport that conforms to a market economy mechanism. This concept can be extended from single corridor planning to point-to-point and door-to-door transportation supply structure planning, andto comprehensive transport network planning and urban transportation planning without loss of generality.

Passenger Transportation Structure Optimization Model Based on User Optimum

Passenger transportation structure has a great influence on efficiency of regional comprehensive traffic system. Rationalization and optimization of passenger transportation structure is one of important means of improving its validity. From static point of view, an optimization idea of user optimum in the premise of meeting the demand of regional passenger transportation was put forward. According to this idea, optimization model of passenger transportation structure based on resource constraints is built. With the example of the passenger transportation system in the three cities of Harbin, Daqing and Yichun, model is calculated using the software Matlab. Then the optimized proportions of the comprehensive passenger transportation of the three cities are given. Using fuzzy comprehensive evaluation method, the passenger transportation structures before and after optimization are evaluated. The evaluation method is adopted to estimate the passenger transportation structure which is both from optimization model and the actual situation. Through comparison and analysis of the estimation results, it demonstrated the effectiveness of optimization model.

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

Modeling on the Structral Optimization of Passenger Transport System in Urban

The structure of comprehensive passenger transportation system in urban determines the development direction of urban transport, it is significance to guide residents to travel, reduce the energy consumption, build harmonious traffic. It is started from the analysis on the composition and characteristics of passenger transport system in urban, take the traffic function utility maximization as the objective, considering the passengers demand constraints, roads resource constraints, energy consuming constraints, emission constraints and the each mode development plan constraints, establish the structure optimization model on passenger transport system in urban, combined with the actual data in Harbin, standardized model parameters, solved the optimal structure, and compared with the status data, the study shows that: in the comprehensive passenger transportation system of harbin, the propotion of public transport and walking is low, while the private car, bicycles and taxis is high, the targeted recommendations for improvement is proposed.

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.

Development of German Ecological Comprehensive Transportation and its Enlightenment to China

The development of German transportation has always been adhered to the sustainable development strategy which is dominated by eco-transportation. This paper is aimed at expounding the development situation of German ecological comprehensive transportation from the aspects of philosophy and method to transportation planning, development of ecological comprehensive transportation, passenger transportation, passenger and freight transportation hub and non-motorized transportation, etc. Combined with China's reality, this paper is also aimed at summarizing the developmental experience of German comprehensive transportation from the macro level and providing experience and reference for the development of China's comprehensive transportation.

Model and its Application of Passenger Travel Sharing Rate in Inter-City Comprehensive Passenger Traffic Channels

To predict the passenger travel sharing rate in the inter-city comprehensive passenger traffic channels, the passenger transport properties of the inter-city comprehensive passenger transport channels were combined, variables with different characteristics were introduced into utility function, the application of Logit model was improved, the comprehensive passenger transport channels of Guangzhou-Huizhou, Shenzhen-Huizhou, Dongguan-Huizhou were taken as examples to conduct the prediction applications of the passenger travel sharing in the railway passenger transportation, highway passenger transportation and non-commercial transportation. The results showed that the improved model could effectively carry out the passenger travel share prediction in inter-city comprehensive passenger transport channels.

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.

Hubs Planning of Comprehensive Passenger Transportation Based on Fuzzy Entropy Weight Method

With the rapid development of highway construction, quickly increasing passenger traffic demand, the importance of layout planning of highway passenger terminal is becoming more obvious. Based on analyzing the forming mechanism of a passenger transport hub, an evaluation indicator system was established for a comprehensive transport hub from the perspectives of transport demand and supply. For overcoming the subjectivity, entropy theory was applied to determine the various indicator weights with fuzzy evaluation model. Finally, the indicator system and fuzzy entropy weight method were applied in Jiangsu province as a case study.

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.

Passenger Congestion Mechanism Analysis in Comprehensive Passenger Transportation Terminal

In comprehensive passenger transportation terminal, the passenger congestion is one of major problems and thus many ways have been taken to mitigate it. It is believed that an appropriate selection of congestion mitigation strategies comes from the sound understanding of the congestion characteristics. In this paper we analyzed the main reasons, simulated the process of its formation and aggravating by AnyLogic. Then we obtained the data about the varying passenger flow density changing along with time and place. Based on the simulation data, we research the characteristics of the congestion occurred in the transportation terminal from the perspective of the passenger flow density, which offers some references to mitigate the congestion.

Pedestrian Flow Characteristics Analysis and Model Parameter Calibration in Comprehensive Transport Terminal

Pedestrian flow characteristics analysis and model calibration constitute the base and key processes of pedestrian simulation. Field data of pedestrian flow was collected in Chinese comprehensive passenger transport terminal—Xizhimen underground station using video recording, and then selected and analyzed by statistic analysis software SPSS. Parameters relation models for pedestrian flow on different terminal facilities were established based on data statistics. The results show that the pedestrian flow-density relation model is quadratic equation in corridor; the flow-space relation model is quadratic equation when space is below a certain value and is logarithmic equation when space is above the value; the speed-density relation model is linear equation. The models on stairs show the similar characteristics, but the eigenvalue is different. Parameters of social force model were acquired based on these models. Range of semi-major axis of pedestrian ellipse in social force model was ascertained. Considering time pressure as a factor pattern, expect speed in social force model was obtained by multiplying this factor and speed-density function together.