Delay propagation cellular automata model based on max-plus algebra for robustness evaluations of non-periodic train operation plans

2020 ◽  
Vol 34 (21) ◽  
pp. 2050213
Author(s):  
Wen-Jun Li ◽  
Xiao Feng
Keyword(s):  
Cellular Automata ◽  
High Speed ◽  
Simulation Analysis ◽  
Discrete Event ◽  
Transportation Systems ◽  
Railway Transportation ◽  
Cellular Automata Model ◽  
Delay Propagation ◽  
Train Operation ◽  
Event Dynamic

Based on discrete-event dynamic system theory, train operation events in high-speed railway transportation systems are regarded as the basic elements of these dynamic systems. For non-periodic timetable railways in China, based on a max-plus algebra method, a delay propagation cellular automata model is proposed to evaluate the robustness of high-speed train operation plans. The cellular automata evolution rules that can reproduce the delay propagation state of trains mainly consider train safety headway constraints, passenger transfer constraints, and electric multiple unit (EMU) connection constraints. A simulation analysis of actual cases is performed. The simulation results show that the model can be used to evaluate the robustness of the train operation plan. The numerical results show that in the preparation of train operation plans, the proposed model can predict which trains have significant influences on delays in advance and improve the possibility of reducing the occurrence of delays to maintain high-quality service.

Performance of Transportation Systems during the 2004 Niigata Ken Chuetsu, Japan, Earthquake

2006 ◽  
Vol 22 (1_suppl) ◽  
pp. 111-132 ◽  
Author(s):  
Scott A. Ashford ◽  
Yohsuke Kawamata
Keyword(s):  
High Speed ◽  
Ground Motions ◽  
Highway Bridges ◽  
Transportation Systems ◽  
Bridge Structure ◽  
Railway Transportation ◽  
High Speed Railway ◽  
Significant Damage ◽  
Emergency Vehicles ◽  
Epicentral Region

With the possible exception of the Shinkansen railway, transportation structures for the most part performed well in the Niigata Ken Chuetsu earthquake. There were no collapses. The damage appeared limited and repairable, indicating generally good performance despite the severe ground motions in the epicentral region. The reconnaissance team visited every bridge structure crossing the Uono and Shinano rivers in the epicentral region. All but two of the highway bridges inspected were open for at least limited traffic, and those two appeared to be open for emergency vehicles. Significant damage was observed on the Shinkansen high-speed railway, as well as on some local railway lines, but all appeared repairable. A historic first was the earthquake's derailment of a high-speed Shinkansen train.

A MULTISCALE CELLULAR AUTOMATA MODEL FOR SIMULATING COMPLEX TRANSPORTATION SYSTEMS

2006 ◽  
Vol 17 (10) ◽  
pp. 1437-1459 ◽  
Author(s):  
PAWEŁ TOPA ◽  
WITOLD DZWINEL ◽  
DAVID A. YUEN
Keyword(s):  
Numerical Model ◽  
Cellular Automata ◽  
General Framework ◽  
Transportation Network ◽  
Transportation Systems ◽  
River Systems ◽  
Temporal Scales ◽  
Cellular Automata Model ◽  
Reverse Situation ◽  
Spatio Temporal

We present a new two-level numerical model describing the evolution of transportation network. Two separate but mutually interacting sub-systems are investigated: a starving environment and the network. We assume that the slow modes of the environment growth can be modeled with classical cellular automata (CA) approach. The fast modes representing the transportation network, we approximate by the graph of cellular automata (GCA). This allows the simulation of transportation systems over larger spatio-temporal scales and scrutinizing global interactions between the network and the environment. We show that the model can mimic the realistic evolution of complex river systems. We also demonstrate how the model can simulate a reverse situation. We conclude that the paradigm of this model can be extended further to a general framework, approximating many realistic multiscale transportation systems in diverse fields such as geology, biology and medicine.

scholarly journals Estimating a New Fare for Sightseeing Trains Based on Willingness to Pay

2020 ◽  
Vol 32 (6) ◽  
pp. 773-787
Author(s):  
Kwang-Kyun Lim
Keyword(s):  
Willingness To Pay ◽  
High Speed ◽  
Loss Rate ◽  
Economic Value ◽  
Distribution Model ◽  
Railway Transportation ◽  
Train Services ◽  
Train Operation ◽  
Slow Moving ◽  
Question Survey

Since high-speed train operation in 2004 in Korea, the revenue of conventional trains has been rapidly declining. To overcome the circumstance even a little, sightseeing trains have been introduced along ten competitive routes since 2013, which helped to reduce the loss rate from 3.0 to 2.5 compared to the existing conventional trains. Such accomplishment was based on the existing fare system fitted to conventional trains, not reflecting the value of the unique service that only the sightseeing train provides. The understanding of the Willingness To Pay (WTP) has largely remained unexplored in the railway transportation literature, and further no contributions in the sightseeing train industry. The paper aims to estimate the economic value of various types of service for sightseeing trains in the contexture of the WTP postulates using open-ended question survey data and a Tobit censored regression with four different statistical structures. The normal distribution model replicates the WTPs best fitted over entire service types, and the WTPs vary by different type of train services such as recreational activities, slow-moving operation, seating type, tourist commentary and locally connected tour service. The highest value 13.3~24.2% in room typed seats compared to observable seats has been observed. Applying the demand elasticities to price, the revenue maximizing is observed at a 6% hike for a standard seat and a 22% hike for a designated seat, and the revenue rises by 0.33% to 3.54%. This study expects that the result can be used as an appropriate guideline in determining a new fare fitted to sightseeing trains.

scholarly journals Design of Cyber-Physical Systems Architecture for Prognostics and Health Management of High-speed Railway Transportation Systems

2020 ◽  
Vol 9 (3) ◽  
Author(s):  
Zongchang Liu ◽  
Zhiqiang Zhang ◽  
Guanji Xu ◽  
Wenjing Jin ◽  
Jay Lee
Keyword(s):  
High Speed ◽  
Health Management ◽  
Transportation Systems ◽  
Predictive Maintenance ◽  
Rolling Stock ◽  
Prognostics And Health Management ◽  
Concept Design ◽  
Railway Transportation ◽  
High Speed Railway ◽  
Operation And Maintenance

The high-speed railway (HSR) transportation system in China has been growing rapidly during the past decade. In 2016, the total length of HSR in China has reached to 22,000 kilometers, and there are over 2,000 pairs of high speed trains operating daily. With the advancement of design and manufacturing technologies, the reliability and construction costs have been improved significantly. However, there is still great need for reduction of their operation and maintenance costs. With such incentive, a pilot project has been launched to develop a prognostics and health management system for rolling stock to transform the maintenance paradigm from preventive to predictive maintenance. Considering the high task variety and big data environment in HSR real-time monitoring system, a cyberphysical system (CPS) architecture is proposed as the framework for its PHM system. This paper reviews the needs of predictive maintenance for the HSR system, and then present a concept design of the CPS-enabled smart operation and maintenance system.

Modeling of Pedestrian Counter Flow in Corridors with Different Barriers

2013 ◽  
Vol 444-445 ◽  
pp. 1685-1689
Author(s):  
Xiao Dong Liu ◽  
Wei Guo Song ◽  
Wei Lv ◽  
Fei Zhou Huo
Keyword(s):  
Cellular Automata ◽  
Collision Avoidance ◽  
High Speed ◽  
Transition Probabilities ◽  
Counter Flow ◽  
Flow Rates ◽  
Cellular Automata Model ◽  
Proposed Model ◽  
The Future ◽  
Original Direction

An improved cellular automata model is proposed to study the pedestrian counter flow in corridors with different placements of barriers. The model considers the sensing region, collision avoidance, following, position exchange, and other common pedestrian behaviors. The sensing region here considers not only the number of pedestrians, but also their distances, velocities, both of which affect pedestrians’ transition probabilities. For example, when confronting with opposite pedestrians in high speed, the pedestrian may prefer to slow down or change the original direction. In the model, the pedestrians can change their velocities according to different situations. Simulations are conducted with the proposed model and the effect of different placements of barriers in corridors is studied in detail. The flow rates in different situations are compared, and it is found that certain placements of barriers can obviously improve the corridor’s pedestrian capacity, which may contribute to corridor design in the future.

scholarly journals High-Speed Passenger Railway Transportation: Priority for Long-Term Developmen

2021 ◽  
Vol 19 (1) ◽  
pp. 194-209
Author(s):  
M. M. Zheleznov ◽  
O. I. Karasev ◽  
S. S. Trostyansky ◽  
R. G. Smirnov
Keyword(s):  
Traffic Control ◽  
Intelligent Systems ◽  
High Speed ◽  
Technological Development ◽  
Digital Simulation ◽  
Rolling Stock ◽  
Railway Transportation ◽  
High Speed Rail ◽  
Train Operation ◽  
Readiness Level

High-speed passenger railway transportation is one of the priorities of scientific and technological development for most of the leading world railway companies that have global plans for construction of new high-speed rail lines (HSR).General review refers to plans of selected countries regarding construction of high-speed railways and the priority technologies/solutions required for the efficient provision of high-speed passenger services, as well as to costs and advantages associated with HSR construction. Besides, comparison of promising technology and adopted technical solutions is followed by assessment of their readiness level, and by features of HS trains operated by leading companies. Most important technologies comprise intelligent systems of autonomous train operation, remote traffic control, digital simulation of interaction of rolling stock and infrastructure, automated decision support systems, geospatial infrastructure monitoring, and real-time remote condition monitoring of rolling stock and infrastructure.Conclusions drawn argue in favour of promising character of research in the field of breakthrough technology conducted by railways, possibilities for Russia to join the countries with most advanced high-speed rail passenger transportation.

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