Results 31 to 40 of about 2,585,798 (346)

Smart Scheduling of Electric Vehicles Based on Reinforcement Learning

Sensors, 2022
As the policies and regulations currently in place concentrate on environmental protection and greenhouse gas reduction, we are steadily witnessing a shift in the transportation industry towards electromobility.
Andrei Viziteu, Daniel Furtună, Andrei Robu, Stelian Senocico, Petru Cioată, Marian Remus Baltariu, Constantin Filote, Maria Simona Răboacă   +7 more
doaj   +1 more source

Performance profiling for predictive train schedules [PDF]

Journal of Rail Transport Planning & Management, 2014
In this article an alternate sensitivity analysis is proposed for train schedules. It characterises the schedules robustness or lack thereof and provides unique profiles of performance for different sources of delay and for different values of delay. An approach like this is necessary because train schedules are only a prediction of what will actually ...
Robert L. Burdett, Erhan Kozan
openaire   +2 more sources

Real-Time Train Scheduling With Uncertain Passenger Flows: A Scenario-Based Distributed Model Predictive Control Approach

IEEE transactions on intelligent transportation systems (Print)
Real-time train scheduling is essential for passenger satisfaction in urban rail transit networks. This paper focuses on real-time train scheduling for urban rail transit networks considering uncertain time-dependent passenger origin-destination demands.
Xiaoyu Liu, A. Dabiri, Yihui Wang, B. de Schutter   +3 more
semanticscholar   +1 more source

High-speed train scheduling and rescheduling models [PDF]

, 2020
The definition of train scheduling is going to shift its current static approach, as generally resulting in a timetable, towards a dynamic approach where the timetable can be modified in order to enhance the satisfaction of passengers' demand.
Del Cacho Estil-Les M., Bersani, Chiara, Maria del Cacho Estil-les, Bersani C., Chiara Bersani, Sacile R., Del Cacho Estil-Les, Maria A., Sacile, Roberto, Roberto Sacile, Estil-Les M. A. D. C.   +9 more
core   +1 more source

Iterative Train Scheduling under Disruption with Maximum Satisfiability

Journal of Artificial Intelligence Research
This paper proposes an iterative Maximum Satisfiability (MaxSAT) approach designed to solve train scheduling optimization problems. The generation of railway timetables is known to be intractable for a single track.
Alexandre Lemos, Filipe Gouveia, Pedro T. Monteiro, I. Lynce   +3 more
semanticscholar   +1 more source

Coupling time-indexed and big-M formulations for real-time train scheduling during metro service disruptions

, 2020
Track disruptions in metro systems may lead to severe train delays with many passengers stranded at platforms, unable to board on overloaded trains.
Yeran Huang, C. Mannino, Lixing Yang, T. Tang   +3 more
semanticscholar   +1 more source

Research on the Cooperative Scheduling of ARMGs and AGVs in a Sea–Rail Automated Container Terminal under the Rail-in-Port Model

Journal of Marine Science and Engineering, 2023
Reasonable scheduling of a train’s loading and unloading equipment can reduce the energy consumption of production operations; this has great value for the green development of terminals.
Yongsheng Yang, Sha He, Shu Sun
doaj   +1 more source

Adherence to peritoneal dialysis training schedule [PDF]

Nephrology Dialysis Transplantation, 2006
Shortening behaviour during peritoneal dialysis training can be easily measured, and likened to the skipping behaviour in haemodialysis subjects, although its effect on peritoneal dialysis outcomes is now well understood. We studied the clinical impact of failing to adhere to a peritoneal dialysis training programme among incident dialysis patients ...
Kai Ming, Chow, Cheuk Chun, Szeto, Chi Bon, Leung, Man Ching, Law, Bonnie Ching-Ha, Kwan, Philip Kam-Tao, Li   +5 more
openaire   +2 more sources

An improved ant colony optimization strategy for dual-objective high-speed train scheduling

Journal of King Saud University: Computer and Information Sciences
In this paper, for the high-speed train scheduling problem with operation delay of trains, a dual-objective high-speed train scheduling model with the objective function of minimizing the total delay time and total energy consumption is established by ...
Hui Zhao, Jiahuan Zhang, Haixing Li, Dong Li   +3 more
doaj   +1 more source

Single-Step Adversarial Training With Dropout Scheduling [PDF]

2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2020
CVPR ...
Vivek B. S., R. Venkatesh Babu
openaire   +2 more sources