Milosavljević et al., 2018 - Google Patents
Train braking distance calculation using fuzzy logicMilosavljević et al., 2018
View PDF- Document ID
- 7449452584730482646
- Author
- Milosavljević M
- Jeremić D
- Vujović D
- Publication year
- Publication venue
- 2nd Conference Transport for Today’s Society, Bitola, Macedonia
External Links
Snippet
Train braking distance is one of basic precondition for safety of railway system. There are many external factors that affect braking distance which can cause changes in its length. For that purpose, fuzzy logic system based on experience is proposed. In this paper, we propose …
- 238000004364 calculation method 0 title description 6
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US6125311A (en) | Railway operation monitoring and diagnosing systems | |
Zhao et al. | A multiple train trajectory optimization to minimize energy consumption and delay | |
US6243694B1 (en) | System and method for generating a fuel-optimal reference velocity profile for a rail-based transportation handling controller | |
CN103092755B (en) | A kind of automatic generation method of train control system test sequence | |
Milosavljević et al. | Train braking distance calculation using fuzzy logic | |
Ho et al. | Optimal traffic control at railway junctions | |
Milosavljević et al. | Application of fuzzy logic for train braking distance determination | |
Restel et al. | Reliability model of the railway transportation system with respect to hazard states | |
Aït-Ameur et al. | A refinement-based formal development of cyber-physical railway signalling systems | |
Becker et al. | Case study: Influence of stochastic dwell times on railway traffic simulations | |
Lindenmaier et al. | Infrastructure modeling and optimization to solve real-time railway traffic management problems | |
Kou et al. | Multistate reliability evaluation of bogie on high speed railway vehicle based on the network flow theory | |
Lordieck et al. | Microscopic railway capacity assessment of heterogeneous traffic under real-life operational conditions | |
Marsh et al. | Generalizing event trees using Bayesian networks | |
Baohua et al. | A computer-aided multi-train simulator for rail traffic | |
CN105574253B (en) | high-speed train braking system design method and device | |
Chen et al. | Research on train braking model by improved Polach model considering wheel‐rail adhesion characteristics | |
Ram et al. | Reliability characteristics of railway communication system subject to switch failure | |
Friedrich et al. | A fuzzy approach for evaluation of reconfiguration actions after unwanted events in the railway system | |
Siergiejczyk et al. | Analysis of the operation process of vehicles equipped with telematic on-board systems | |
van Oort et al. | Impact of rail terminal design on transit service reliability | |
Smith | Computer simulation applications in service operations: a case study from the leisure industry | |
Plekhanov et al. | Substantiation of the Safety of Applying Mobile Communication Technologies for Train Automation | |
Stankaitis et al. | A railway simulation suite for modelling advanced railway control systems | |
Ho et al. | Peak power demand reduction under moving block signalling using an expert system |