scholarly journals Evaluating the Capacity Coordination in the Urban Multimodal Transport Network

2021 ◽  
Vol 11 (17) ◽  
pp. 8109
Author(s):  
Yifan Yue ◽  
Wei Wang ◽  
Jun Chen ◽  
Zexingjian Du
Keyword(s):  
Flow Distribution ◽  
User Equilibrium ◽  
Urban Rail Transit ◽  
Transport Network ◽  
Stochastic User Equilibrium ◽  
Transport Networks ◽  
Transit Network ◽  
Evaluation Functions ◽  
Multimodal Transport ◽  
Mode Share

The urban multimodal transport network is composed of multiple layers of networks; thus, coordinating the capacity equilibrium among different sub-transport networks plays a crucial role to keep the entire network running efficiently. To quantify and evaluate the passenger flow distribution in an urban multimodal transport network, this research proposes a method to evaluate the capacity coordination in an urban multimodal transport network on the basis of assignment results calculated by the Stochastic User Equilibrium (SUE) model considering the link and path impedance of different sub-transport networks. It suggests evaluation functions for the indicator level of service (LOS) of the multimodal transport network, Gini coefficient of transport network, and mode share of transport modes, and it shows how the functions were estimated. Then, it reports on results with the evaluation scheme collected in a multimodal example application for roadway network, transit networks (bus transit network and urban rail transit network), and connection network. The evaluation results under different assumed origin–destination (OD) demand show the coordination degree and can be used to recognize shortcomings of the network. Moreover, the OD demand interval of real network with good coordination can be deduced, which can also help transport planners to find the optimal strategy.

scholarly journals Dynamic Schedule-Based Assignment Model for Urban Rail Transit Network with Capacity Constraints

2015 ◽  
Vol 2015 ◽  
pp. 1-12 ◽  
Author(s):  
Baoming Han ◽  
Weiteng Zhou ◽  
Dewei Li ◽  
Haodong Yin
Keyword(s):  
User Equilibrium ◽  
Capacity Constraints ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Stochastic User Equilibrium ◽  
Temporal And Spatial Distribution ◽  
Transit Network ◽  
Passenger Flow ◽  
Assignment Model ◽  
Urban Rail

There is a great need for estimation of passenger flow temporal and spatial distribution in urban rail transit network. The literature review indicates that passenger flow assignment models considering capacity constraints with overload delay factor for in-vehicle crowding are limited in schedule-based network. This paper proposes a stochastic user equilibrium model for solving the assignment problem in a schedule-based rail transit network with considering capacity constraint. As splitting the origin-destination demands into the developed schedule expanded network with time-space paths, the model transformed into a dynamic schedule-based assignment model. The stochastic user equilibrium conditions can be equivalent to the equilibrium passenger overload delay with crowding penalty in the transit network. The proposal model can estimate the path choice probability according to the equilibrium condition when passengers minimize their perceptive cost in a schedule-based network. Numerical example in Beijing urban rail transit (BURT) network is used to demonstrate the performance of the model and estimate the passenger flow temporal and spatial distribution more reasonably and dynamically with train capacity constraints.

scholarly journals Modeling a Distance-Based Preferential Fare Scheme for Park-and-Ride Services in a Multimodal Transport Network

2021 ◽  
Vol 13 (5) ◽  
pp. 2644
Author(s):  
Xinyuan Chen ◽  
Ruyang Yin ◽  
Qinhe An ◽  
Yuan Zhang
Keyword(s):  
Public Transport ◽  
Urban Areas ◽  
Choice Behavior ◽  
Programming Model ◽  
Choice Model ◽  
User Equilibrium ◽  
Transport Network ◽  
Park And Ride ◽  
Multimodal Transport ◽  
Transport Modes

This paper investigates a distance-based preferential fare scheme for park-and-ride (P&R) services in a multimodal transport network. P&R is a sustainable commuting approach in large urban areas where the service coverage rate of conventional public transport modes (e.g., train and bus) is poor/low. However, P&R services in many cities are less attractive compared to auto and other public transport modes, especially for P&R facilities sited far away from the city center. To address this issue, this paper proposes a distance-based preferential fare scheme for P&R services in which travelers who choose the P&R mode get a discount. The longer the distance they travel by train, the better the concessional price they get. A multimodal transport network equilibrium model with P&R services is developed to evaluate the impacts of the proposed distance-based fare scheme. The travelers’ mode choice behavior is modeled by the multinomial logit (MNL) discrete choice model, and their route choice behavior is depicted by the user equilibrium condition. A mathematical programming model is then built and subsequently solved by the outer approximation method. Numerical simulations demonstrate that the proposed distance-based preferential fare scheme can effectively motivate travelers to use a P&R service and significantly enhance the transport network’s performance.

scholarly journals Stochastic User Equilibrium Assignment in Schedule-Based Transit Networks with Capacity Constraints

2012 ◽  
Vol 2012 ◽  
pp. 1-15 ◽  
Author(s):  
Wangtu Xu ◽  
Lixin Miao ◽  
Wei-Hua Lin
Keyword(s):  
Waiting Times ◽  
User Equilibrium ◽  
Capacity Constraint ◽  
Mathematical Programming Problem ◽  
Stochastic User Equilibrium ◽  
Transit Network ◽  
Travel Costs ◽  
Assignment Model ◽  
Proposed Model ◽  
Full Knowledge

This paper proposes a stochastic user equilibrium (SUE) assignment model for a schedule-based transit network with capacity constraint. We consider a situation in which passengers do not have the full knowledge about the condition of the network and select paths that minimize a generalized cost function encompassing five components: (1) ride time, which is composed of in-vehicle and waiting times, (2) overload delay, (3) fare, (4) transfer constraints, and (5) departure time difference. We split passenger demands among connections which are the space-time paths between OD pairs of the network. All transit vehicles have a fixed capacity and operate according to some preset timetables. When the capacity constraint of the transit line segment is reached, we show that the Lagrange multipliers of the mathematical programming problem are equivalent to the equilibrium passenger overload delay in the congested transit network. The proposed model can simultaneously predict how passengers choose their transit vehicles to minimize their travel costs and estimate the associated costs in a schedule-based congested transit network. A numerical example is used to illustrate the performance of the proposed model.

Estimation of Origin-Destination Demand Matrix for the Urban Multimodal Traffic Network

2014 ◽  
Vol 511-512 ◽  
pp. 963-970
Author(s):  
Ya Nan Wang ◽  
Bing Feng Si
Keyword(s):  
Transport System ◽  
Heuristic Algorithm ◽  
Programming Model ◽  
User Equilibrium ◽  
Traffic Network ◽  
Transit Network ◽  
Solution Approach ◽  
Multimodal Transport ◽  
Level Problem ◽  
Upper Level

In this paper we consider a procedure for the estimation of origin-destination (O-D) matrices for a multimodal transit network. The structure of urban multimodal transport system is fully analyzed and then a bi-level programming model is established for O-D demand matrices estimation, where the upper-level problem seeks to minimize the sum of error measurements in traffic counts and O-D matrices, while the lower-level problem is to assign a target O-D matrix onto the network according to the user equilibrium principle. And a heuristic algorithm is proposed, finally a numeral example is given which indicates that the solution approach can be applied in practice.

scholarly journals Optimal Adjustment Schemes on the Long Through-Type Bus Lines considering the Urban Rail Transit Network

2018 ◽  
Vol 2018 ◽  
pp. 1-15 ◽  
Author(s):  
Si-Jia Zhang ◽  
Shun-Ping Jia ◽  
Yun Bai ◽  
Bao-Hua Mao ◽  
Cun-Rui Ma ◽  
...  
Keyword(s):  
Objective Function ◽  
Flow Distribution ◽  
Urban Rail Transit ◽  
Rail Transit ◽  
Transit Network ◽  
Time Value ◽  
Passenger Flow ◽  
Urban Rail ◽  
Level Model ◽  
Urban Rail Transit Network

It is of great importance to optimize the schemes of long through-type bus lines to adapt to the urban rail transit network. Focusing on the long through-type bus lines close to metro stations, a bilevel programming model on the adjustment schemes of bus lines is proposed, taking the impacts of urban rail transit network into account. The upper level model aims at adjusting the setting decisions of stop stations and vehicle headways of bus lines to minimize the passenger travel cost and maximize the benefits of bus operators. The lower level model is a passenger flow assignment model based on Logit-SUE considering the crowding perception of passengers in bus vehicles. Moreover, the constraint of average load factor of the bus line sections is considered. Then the genetic algorithm is applied to solve the proposed model, and a numerical example is conducted to verify the effectiveness. Results show that the value of the objective function of the model is improved by 27.2%, in comparison with the original scheme. Even though the average travel cost of passengers increases slightly, the bus line operation cost and the imbalance degree of load factors are reduced by 46.1% and 18.6%, respectively. The sensitivity analyses show that it is better to divide the long through-type bus line into several separate bus lines with independent operation, respectively, under the condition of unbalanced passenger flow distribution. Meanwhile, the multiple bus lines are more adapted to the unbalanced passenger flow distribution when the weight of the benefits of the bus operators in the total objective function is bigger. Besides, the lower time value that the passengers perceive, the more passengers willing to take bus than metro trains. As the increment of the passenger time value, the combination of feeder bus lines and a longer bus line is better for passengers’ trip demand than the long through-type bus line.

scholarly journals A Simplified C-Logit Stochastic User Equilibrium Model on Bimodal Transportation Network

2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Bingquan Liu ◽  
Yonghong Zhang ◽  
Wei Du
Keyword(s):  
Logit Model ◽  
Transportation Network ◽  
Flow Distribution ◽  
User Equilibrium ◽  
Simplified Model ◽  
Stochastic User Equilibrium ◽  
Binary Logit Model ◽  
Mode Split ◽  
Binary Logit ◽  
Nonlinear Mathematical Programming

This paper investigates the C-logit stochastic user equilibrium (SUE) problem on a bimodal transportation network with road and rail travel modes. The C-logit model captures the overlapping effect among the different paths via commonality factors; sequentially, it has ability to obtain a more realistic traffic flow distribution pattern. In this paper, when we redefine the link travel cost functions and employ a binary Logit model for the mode split, the bimodal C-logit SUE model can be simplified into an unconstrained nonlinear mathematical programming formulation. Such model is verified to satisfy the bimodal C-logit SUE conditions at its stationary point and can be solved by existing algorithms. So, the simplified model can be convenient to be used on the general bimodal transportation network.

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