2013 IEEE International Conference on Intelligent Rail Transportation Proceedings 2013
DOI: 10.1109/icirt.2013.6696260
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Achieving energy-efficiency and on-time performance with Driver Advisory Systems

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Cited by 19 publications
(10 citation statements)
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“…Hence, for any planned headway greater than 5.1 minutes, it is possible to fix a corresponding number of convoys NC satisfying constraints (20) and then calculate turt in a closed form formulation by means of (23). Since the adoption of different split rates for layover times affects the value of min (as shown by (38)), we solved the optimisation problem (41) subject to (42) for identifying the minimum value of min to be compared with the planned headway so as to verify the feasibility test (37).…”
Section: Application Of the Proposed Methodologymentioning
confidence: 99%
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“…Hence, for any planned headway greater than 5.1 minutes, it is possible to fix a corresponding number of convoys NC satisfying constraints (20) and then calculate turt in a closed form formulation by means of (23). Since the adoption of different split rates for layover times affects the value of min (as shown by (38)), we solved the optimisation problem (41) subject to (42) for identifying the minimum value of min to be compared with the planned headway so as to verify the feasibility test (37).…”
Section: Application Of the Proposed Methodologymentioning
confidence: 99%
“…The effectiveness of energy-efficient driving strategies was underlined in [19,20]. Interesting results were obtained in [21], where driving profiles were optimised by considering as constraints the operational requirements of railways.…”
Section: Railway Energy-efficient Drivingmentioning
confidence: 99%
“…This resulted in high operating and energy costs, which in turn initiated the development of the Driver Advisory System (DAS) to support economic driving (Tschirner et al 2013). A DAS provides real-time information regarding the position of trains and gives advice on how to optimise traffic flow and energy efficiency by constantly suggesting updated speed limits with respect to time and distance to the next station (Yang et al 2013). This enables the drivers to adjust their driving behaviour to the overall traffic situation, which leads to increased quality of railway traffic in terms of safety, punctuality, comfort for the passengers, energy consumption etc.…”
Section: Research On Train Drivingmentioning
confidence: 99%
“…Much of the literature concerning driving efficiency is based on models, commonly this is used in the development of a driver advisory system (DAS). 3 Although the use of a DAS will undoubtedly become widespread due to potential energy savings of 15-25% 4,5 , there are problems with effective implementation. Mitchel 6 shows an example of the difference in energy consumption between driver trajectories and a simulated optimal trajectory.…”
Section: Introductionmentioning
confidence: 99%
“…There are a number of reasons that may be responsible for this difference: they range from the complexity of the trajectory to driver priorities. Examples in Yang et al 4 describe optimized trajectory implementation on a mining route in northern Scandinavia. Two drivers, a 'good' one and a 'bad' one are compared as they attempt to follow a target trajectory.…”
Section: Introductionmentioning
confidence: 99%