- Railway Systems and Energy Efficiency
- Transportation Planning and Optimization
- Railway Engineering and Dynamics
- Traffic Prediction and Management Techniques
- Transportation and Mobility Innovations
- Mobile Agent-Based Network Management
- Maritime Ports and Logistics
- Power Systems and Technologies
- Web Applications and Data Management
- Advanced Computational Techniques and Applications
- Simulation and Modeling Applications
- Gear and Bearing Dynamics Analysis
- Transport and Economic Policies
- Internet of Things and Social Network Interactions
- Natural Language Processing Techniques
- Electrical Contact Performance and Analysis
- Service-Oriented Architecture and Web Services
Beijing Jiaotong University
2013-2024
Subway systems consume a large amount of energy each year. How to reduce the consumption subway has already become an issue concern in recent years. This paper proposes energy-efficient approach traction by optimizing train operation for multiple interstations. Both trip time and driving strategy are considered proposed optimization approach. Firstly, bi-level programming model interstations is developed problem, which then converted into integrated calculate Additionally, multi-population...
The heavy-haul train has a series of characteristics, such as the locomotive traction properties, longer length train, and nonlinear pipe pressure during braking. When is running on continuous long steep downgrade railway line, safety ensured by cycle braking, which puts high demands driving skills driver. In this article, curve generation method for based neural network proposed. First, in order to describe characteristics model constructed trained practical data. model, various neurons are...
More and more lines are using the Communication Based Train Control (CBTC) systems in urban rail transit. Trains operated by tracking a pre-determined target speed curve CBTC system, so one of most effective ways reducing energy consumption is to fully understand optimum curves that should prevail under varying operating conditions. Additionally, need be calculated with real-time performance order cope changed interstation planning running time. Therefore, this paper proposes fast algorithm...
The driving safety of heavy-haul train is affected by the train’s traction weight, length train, line profile, speed limit, and other factors. Generally, when running on a continuously long steep downgrade line, it needs using circulating air braking to adjust speed. When braking, brake wave transmitted non-linearly along direction train. relieved, must be ensured that there sufficient time for inflated. Therefore, difficult ensure safe operation In this article, new method strategy based...
In this paper, aiming at the difficult problem that it is necessary to choose braking and releasing opportunity rightly when heavy haul train controlled by cyclic method on long down-slope, running process control requirements of are analyzed, intelligent operating strategy based particle swarm optimization proposed. Firstly, dynamic model requirement constraints set up considering line data marshalling data, initial which represents conversion points working condition generated randomly....
Railway transportation, as one of the most energy-intensive industries, consumes a large amount energy each year and train energy-efficient operations are paid more attention to reduce consumption operation costs. This paper proposes optimize strategy integrated timetable together. After considering variable fiction speed limits gradients real subway line, this applies PSO analytical formulation calculate optimal profile with fixed trip time for trip. Then designs numerical algorithm...
In the interconnection network operation of plug-in cross-line and post-station crossing, this paper considered reasonable connection train operation, proposed a method based on coyote optimization algorithm (COA) to solve adjustment problem in case small-scale delay. Firstly, relation trains "Y/T"-type is analyzed. Then, model established with goal minimizing total delay time. Finally, data two "Y"-type subway lines city are simulated verify effectiveness rapidity COA solving model, it...
The control of heavy-haul trains has always been the focus China’s railway transportation development. One key challenge is coordination electric braking and air when electric-air combined applied on long steep downgrades. This normally reliant manual driving thus not cost-effective. To improve safety efficiency train operation in existing lines, a multi-label random forest (ML-RF) based approach for (HHT) proposed. characteristics downgrades are analyzed first. A prediction model strategy...
The cyclic air braking strategy on the long steep downward slopes is one of main challenges to heavy haul train control in China. To overcome this dilemma, paper proposes an optimization method based approximate dynamic programming (ADP) algorithm which can achieve low maintenance costs and high running efficiency premise safe operation. problem described considering characteristics railways Then formalized as a Markov decision process (MDP) critical elements ADP methodology are introduced...
In order to reduce the travelling time and improve efficiency which are in great demand city especially busy metropolis, operation adjustment strategy of cross-line trains on urban transit was studied. On basis considering specific condition line dynamic characteristic passenger flow, a train model adapted flow established, proposed by using Coyote Optimization Algorithm(COA) optimize tracking interval between adjacent trains. The realized through two parts. first part, under during normal...
Aiming at the difficult point of generating driving strategy heavy-haul trains under moving block system, a generation method based on fuzzy predictive control is proposed for alleviating labor intensity drivers and better guaranteeing operation safety trains. Firstly, by analyzing difficulties in neutral sections steep slopes, constraint models are established, speed curve optimization algorithm adaptive step size designed. Then, target obtained locally optimizing principle time equivalence...
In view of the circumstance unbalanced spatial-temporal distributed passenger flow in urban rail transit, a new flexible train formation strategy based on virtually coupled set (VCTS) is presented for enhancing matching degree between capacity supply and demand. Firstly, after discussion characteristics existing strategies, their adaptability to demand analyzed order emphasis superiority strategy. Next, according strategy, an integer nonlinear programming model adapted established, which can...
Existing Data Code Generation for CBTC system is composed of a manual switching, automatic code generation method proposed in this paper. The based on the writing diagram produced system, and uses hierarchical processing architecture all data sequential heuristics procedure to realize generation, At last, we try apply approach part from Beijing Yi Zhuang Metro Line CI ZC which complete interface after seven steps. Finally, design program by C prove its feasibility.
Automatic heavy-haul train (HHT) operation technology has recently received considerable attention in the field of rail transportation. In this paper, a discrete-time-based mathematical formulation is proposed to address speed profile optimization problem order ensure safe, efficient, and economical trains (HHTs). Due presence long steep downgrades (LSDs) on some lines, brake forces HHT are typically jointly determined by air braking electric braking. The time characteristics braking, such...
Single-track freight railway currently adopts the way of departure with a fixed headway under inter-station blocking system to organize train operation, due limitation line conditions, which can not meet growing transport demand. In order improve capacity, this paper introduces concept convoy into scheduling problem single-track railway, and proposes operation strategy on basis. Firstly, analyzes impact railway. Secondly, basis considering constraints number equality between arriving trains...
Urban rapid rail transit is the main mode of transportation for passengers traveling in metropolitan area. Compared to subway, distance between urban stations larger, operation speed higher. However, it will bring greater challenge restore normal when trains are delayed. In this paper, we propose a train delay recovery optimization strategy based on skip-stop by combining travel characteristics passengers. Firstly, construct mixed integer model with minimum total passenger time and as...