首页|Investigators from University of Birmingham Release New Data on Intelligent Transport Systems (An Improved Energy-efficient Driving Strategy for Routes With Various Gradients and Speed Limits)
Investigators from University of Birmingham Release New Data on Intelligent Transport Systems (An Improved Energy-efficient Driving Strategy for Routes With Various Gradients and Speed Limits)
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NETL
NSTL
Wiley
Investigators publish new report on Transportation - Intelligent Transport Systems. According to news reporting out of Birmingham, United Kingdom, by NewsRx editors, research stated, “With the increasing concerns about railway energy efficiency, two typical driving strategies have been used in actual train operation. One includes a sequence of full power traction, cruising, coasting, and full braking (CC).” Our news journalists obtained a quote from the research from the University of Birmingham, “The other uses coasting-remotoring (CR) to replace cruising in CC. However, energy-saving performance by CC and CR, which can be affected by route parameters of gradients and speed limits, has not been fully compared and studied. This paper analyses the energy distribution of CC and CR considering various route parameters and proposes an improved strategy for different gradients and speed limits. The detailed energy flow of CC and CR is analysed by Cauchy-Bunyakovsky-Schwarz inequality and the generalised Holder’s inequality, and then, a novel driving strategy CC_CR is designed. To verify the theoretical results and the effectiveness of the proposed strategy, three simulators with CC, CR, and CC_CR driving modes have been developed and implemented into case studies of four scenarios as well as a real-world metro line. Simulation results demonstrate that CR can only outperform CC on routes with steep downhill and CC_CR is always the best strategy. The energy savings of CC_CR can be as much as 15% more than CR and 42% greater than CC.”
BirminghamUnited KingdomEuropeIntelligent Transport SystemsTransportationUniversity of Birmingham
NETL
NSTL
Wiley
