Wong et al., 2004 - Google Patents
Coast control for mass rapid transit railways with searching methodsWong et al., 2004
View PDF- Document ID
- 3717857105839356223
- Author
- Wong K
- Ho T
- Publication year
- Publication venue
- IEE Proceedings-Electric Power Applications
External Links
Snippet
With daily commercial and social activity in cities, regulation of train service in mass rapid transit railways is necessary to maintain service and passenger flow. Dwell-time adjustment at stations is one commonly used approach to regulation of train service, but its control …
- 230000000694 effects 0 abstract description 17
Similar Documents
Publication | Publication Date | Title |
---|---|---|
Wong et al. | Coast control for mass rapid transit railways with searching methods | |
Bocharnikov et al. | Optimal driving strategy for traction energy saving on DC suburban railways | |
Fernandez-Rodriguez et al. | Design of robust and energy-efficient ATO speed profiles of metropolitan lines considering train load variations and delays | |
ShangGuan et al. | Multiobjective optimization for train speed trajectory in CTCS high-speed railway with hybrid evolutionary algorithm | |
Zhou et al. | Integrated optimization on train control and timetable to minimize net energy consumption of metro lines | |
Yin et al. | Intelligent train operation algorithms for subway by expert system and reinforcement learning | |
Hwang | Control strategy for optimal compromise between trip time and energy consumption in a high-speed railway | |
Wong* et al. | Dynamic coast control of train movement with genetic algorithm | |
US8433461B2 (en) | Method of planning the movement of trains using pre-allocation of resources | |
EP3219572B2 (en) | Method of providing a driving recommendation to a driver of a train and train driver advisory system | |
CN106056238B (en) | Planning method for train interval running track | |
Wong et al. | Coast control of train movement with genetic algorithm | |
Sun et al. | Optimal Control Strategies for Metro Trains to Use the Regenerative Braking Energy: A Speed Profile Adjustment Approach | |
CN109398426A (en) | Energy-saving driving strategy optimization method based on discrete ant group algorithm under a kind of timing condition | |
Alnuman et al. | Electrical modelling of a metro system | |
JP5836078B2 (en) | Operation management device, operation management method and program, and transportation system | |
Wen et al. | A novel energy efficient operation strategy for a train based on model-free adaptive predictive control | |
Keskin et al. | Energy efficient motion control for a light rail vehicle using the big bang big crunch algorithm | |
Li et al. | Train energy-efficient operation with stochastic resistance coefficient | |
Wang et al. | Energy-efficient speed profile optimization for urban rail transit with considerations on train length | |
Gu et al. | Peak power demand and energy consumption reduction strategies for trains under moving block signalling system | |
Feng et al. | Rational formations of a metro train improve its efficiencies of both traction energy utilization and passenger transport | |
Cao et al. | Optimisation of recommended speed profile for train operation based on ant colony algorithm | |
Zhang et al. | A flexible and robust train operation model based on expert knowledge and online adjustment | |
Sarsembayev et al. | Analyze of impact of track alignment on the energy consumption level |