Demand-driven integrated train timetabling and rolling stock scheduling on urban rail transit line

Integrated rolling stock deadhead routing and timetabling in urban rail transit lines

Train timetabling for a double-track urban rail transit line under dynamic passenger demand

Urban rail transit is developing rapidly, and new lines are constantly being opened and connected to the existing road network. Accurately grasping the passenger flow after the opening of the new line can provide a reference for the operation and management of urban rail transit stations. In order to predict the daily passenger flow after the opening of the new line, based on the passenger flow of the existing line stations, combined with the distribution of job-resident population, the new line stations and the existing line stations are matched by station classification, and a neural network model is established to predict the daily passenger flow after the new line is opened. The passenger flow provides a reference for the passenger flow management for the opening of new rail transit lines in the future.

Currently, asymmetric thin-walled U-shaped girders in urban rail transit are widely applied, and triply coupled spatial torsional-flexural forced vibrations of asymmetric thin-walled beam bridges can be induced by moving train loads, which further endangers structural or driving safety. However, no such work on the corresponding theoretical analytical solutions is reported. Thus, taking the simply supported asymmetric thin-walled U-shaped girders in the urban rail transit line 1 project of Chongqing City as an example, this study focuses on the theoretical approach for triply coupled spatial torsional-flexural vibration of asymmetric thin-walled beam bridge under moving train loads. The moving trains can be modeled as concentrated moving loads, and the triply coupled spatial dynamic governing equations under concentrated moving loads are firstly developed considering the effects of rotary inertia and warping resistance. The equations are then decoupled and resolved using the mode superposition method, Laplace integral transformation, and the relationship between the three roots and constant coefficients of a cubic equation. The analytical vibration response expressions in vertical, lateral and torsional directions are derived from this approach, and the resonance conditions are further explored. The results conclude that the vertical, lateral and torsional responses will be simultaneously set in resonance if the parameter related to velocity Ω cn approaches the natural frequency ωni . Subsequently, a novel numerical approach that combines the Galerkin approach and a precise integration method is employed to verify the validity of the above analytical solutions. On this basis, an extensive parametric study is performed. As per the results, the asymmetry, warping effect and eccentricity of the concentrated moving load to the shear center along the Y axis all have a significant impact on the vibration responses in lateral and torsional directions. Specifically, for this asymmetric thin-walled U-shaped girder in urban rail transit bridges, the peak lateral and torsional vibration responses are approximately 3.12 and 2.13 times that of the corresponding monosymmetric one, respectively. The lateral and torsional vibration responses with the warping effect are 28.46% and 14.83% higher than those without the warping effect, respectively.

When railway operators devise a rolling stock schedule plan, it is desirable that the schedule plan for the new timetable is similar to the previous schedule. In this study, we focus on rolling stock scheduling following a large-scale natural disaster. Generally, partial suspensions occur some sections in the line from the damage caused by the disaster, so a temporary timetable is generated. Subsequently, a rolling stock schedule that is close to the previous one must be created. We propose a two-phase rolling stock scheduling algorithm for the temporarily changed timetable. The proposed scheduling algorithm creates a set of duties based on the multi-commodity network flow problem in the first phase. Following that, the algorithm provides a set of rosters by solving the travelling salesman problem. Finally, we confirm that the proposed algorithm can produce a good solution in terms of evaluation criteria and computational time.

One inherent nature of the passenger transportation industry is that passengers are directly involved in the entire production process--the transportation itself, and they are always in the center of everything we do in managing the operations of an Urban Rail Transit (URT) system. Hence, a full understanding of the role and the impact of URT passengers is fundamental to the success of the operation of any URT systems. With new technologies being introduced into URT systems, the role of URT passengers has been changing. Traditionally, the role of URT passengers is in general a passive one. However, modern URT systems are increasingly witnessing passengers taking a more and more active role. Thus, a review and rethink of the passenger's role in an URT system is extremely necessary.

Urban rail transit such as subway is important means of transportation for people to travel. With the acceleration of urbanization construction throughout the country, urban rail transit has developed rapidly. More attention is paid to the interchange means between urban rail transit and other urban transportation systems, such as public transport, public bicycle, and private car, and the interchange means has gradually become an important indicator for assessing the level of urban transportation system. This paper analyzes the interchange means between urban rail transit and other urban transportation systems, and puts forward relevant suggestions on the interchange between between urban rail transit and private cars to contribute to the promotion of urbanization.

Rational planning for the underground space development in subway station areas, in coordinate with the urban rail transit development, has positive impacts on the sustainable development of cities. This paper induces the space syntax method for calculating the quantitative accessibility index of the urban rail transit and detects the coordination between urban underground space use intensity and rail transit system of the 7 selected subway lines in Tokyo. The results show that the station areas with higher accessibility index are the same sort with higher underground space use intensity. This means that the space syntax method is suitable and feasible for calculation of the quantitative accessibility index of subway lines. The higher the accessibility index is, the more underground space will be needed potentially in future. The areas with high accessibility of subway lines and low intensity of public underground space develop are the key districts under potential exploitation of underground space.

With the goal of making the last trains form favorable connections in transfer hubs, coordination for the last train timetable of each metro line is significant for the network integrative operation in urban rail transit system. This paper presents a method of compiling the last train timetables of all lines at the network level with the consideration of transfer coordination. The timetables created through this method are able to realize all the connection principles of different lines, which are set by subway operators based on the transfer demands of passengers. A pick-and-filter algorithm is put forward to assist the operators in choosing connection principles from abundant transfer relations. Beijing urban rail network is taken as an example to simulate the compilation of the last train timetables with computer program, of which the running results indicate the methods presented by this paper are feasible and efficient.

In order to study the relationship between the accessibility along the urban rail transit line and the change in housing price, GA-BP model, which combining the genetic algorithm(GA) and back propagation neural network(BPNN), was used to predict the housing price along the urban rail transit line. The reliability of the model was verified by taking the price of residential areas along Nanjing Metro Line 10 as an example, and the performance between GA-BP model and the BP model was compared. It was found that the average absolute error rate of GA-BP model is 6.91%, which is 6.45% lower than that of BP model, and the mean square error of prediction results is significantly reduced. It can be seen that the price prediction algorithm based on GA-BP model for those residential areas along the urban rail transit line is reliable and can fully tap the potential relationship between the accessibility of urban transport network and the housing price.

Fairness-oriented train service design for urban rail transit cross-line operation

In order to reduce the impact of normal large passenger flow on rail transit stations, trains and operations, a qualitative and quantitative approach is adopted to analyze the process of propagation and dissipation of large passenger flow on rail transit lines. Based on the timetable of trains and the AFC swiping card data of passengers entering and leaving the station, the connection between passengers and trains in space and time is analyzed. The formation and spread of large passenger flow are analyzed from several aspects: the number of arriving passenger flow, the number of boarding passengers and alighting passengers, retention rate, train capacity and train full load rate, so as to study the mechanism of large passenger flow propagation based on train capacity constraints. Finally, combined with the specific route, it can be concluded that the spread of large passenger flow in time and space is continuous, and the large passenger flow at a single station will affect the travel of passengers at subsequent stations.

Urban Rail Transit (URT) has received much concern for its characteristics of large investment, profound effects and construction complexity. The comprehensive benefits of URT are embodied through network on certain scale, and the construction order of URT lines will have impacts on the urban structure, economy, environment and the fairness of investment. The article elucidates the aggregation and spreading effect of URT, educing the importance of line construction sequence. On this basis, the URT life cycle cost model is brought forward to determine the construction sequence of the lines in the network by which the cost in construction and operation and the expected return of NJ Metro are analyzed, then the curves of construction cost and life cycle cost can be drawn. Cost-benefit theory is carried out in comprehensive benefits comparison for lines alternative, within which the one providing best return is in urgent need. Actually all solutions and techniques mentioned above constitute a decision system of URT line construction sequence.

Planned maintenance and construction activities are crucial for heavily used railway networks to cope with the ever increasing demand. These activities lead to changes in the timetable and rolling stock schedule (often for multiple days) and can have a major impact on the crew schedule, as the changes can render many planned duties infeasible. In this paper, we propose a novel integrated approach to crew re-planning, i.e., the construction of new duties and rosters for the employees given changes in the timetable and rolling stock schedule. In current practice, the feasibility of the new rosters is ‘assured’ by allowing the new duties to deviate only slightly from the original ones. This allows the problem to be solved on a day-by-day basis. In the Integrated Crew Re-Planning Problem (ICRPP), we loosen this requirement and allow for more flexibility: The ICRPP considers the re-scheduling of crew for multiple days simultaneously, thereby explicitly taking the feasibility of the rosters into account. By integrating the scheduling and rostering decisions, we can allow for larger deviations from the original duties. We propose a mathematical formulation for the ICRPP, strengthen it using a family of valid cover inequalities, and develop a column generation approach to solve the problem. We apply our solution approach to practical instances from Netherlands Railways, and show the benefits of integrating the re-planning process.

With the rapid development of science and technology, Chinese urban rail transit has entered a newstage of intelligent development from the stage of rapid construction. Urban rail transit has the advantagesof high speed, large capacity and high density, which greatly facilitates modern life. However,urban rail transit is quite different from conventional ground transportation. Traditional informationtransmission methods cannot be well applied to urban rail transit. The maturity and commercial useof 5G mobile communication technology provide new ideas for solving the problem of informationtransmission in urban rail transit. Based on the salient features and key technologies of 5G communicationtechnology, this paper researches on key technonlgies 5G in rail transit scenarios to achievefast and efficient processing efficiency. It is a solution for intelligent operation and maintenance ofurban rail transit and high-definition video surveillance, and studies and analyzes the security of thesystem solution. This fills the gap of rail transit in these two fields, and provides dual guarantees ofsafety and service for urban rail transit construction. It provides a new direction for the applicationof future urban rail transit system.