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Are vehicle trajectories simulated by dynamic traffic models relevant for estimating fuel consumption?
- Source :
- Transportation Research Part D: Transport and Environment, Transportation Research Part D: Transport and Environment, Elsevier, 2013, 24, pp. 17-26. ⟨10.1016/j.trd.2013.03.012⟩
- Publication Year :
- 2013
- Publisher :
- HAL CCSD, 2013.
-
Abstract
- This paper questions the relevance of microscopic traffic models for estimating the impact of traffic strategies on fuel consumption. Urban driving cycles from the ARTEMIS database are simplified into piecewise linear speed profiles to mimic the classical outputs of microscopic traffic flow models. Fuel consumption is estimated for real and simplified trajectories and links between kinematics and the fuel consumption errors are investigated. Simplifying trajectories causes fuel consumption underestimation, from −1.2 to −5.2% on average according to the level of simplification; errors can approach −20% for some cycles. A focus on kinematic phases indicates that the maximum speed reached and the time decelerating are the main influences on fuel consumption. Finally, in the case where maximum speeds are estimated correctly, it is shown that errors committed at each kinematic phase when acceleration distributions are approximated by their mean values, converge towards small errors over complete cycles. A method is developed to quantify and reduce these errors.
- Subjects :
- [SPI.OTHER]Engineering Sciences [physics]/Other
050210 logistics & transportation
Computer science
05 social sciences
Phase (waves)
Transportation
Kinematics
010501 environmental sciences
CIRCULATION ROUTIERE
01 natural sciences
MODELISATION
CONSOMMATION ENERGETIQUE
Piecewise linear function
Microscopic traffic flow model
Acceleration
CONSOMMATION DE CARBURANT
Control theory
0502 economics and business
Fuel efficiency
Focus (optics)
Simulation
0105 earth and related environmental sciences
General Environmental Science
Civil and Structural Engineering
Subjects
Details
- Language :
- English
- ISSN :
- 13619209
- Database :
- OpenAIRE
- Journal :
- Transportation Research Part D: Transport and Environment, Transportation Research Part D: Transport and Environment, Elsevier, 2013, 24, pp. 17-26. ⟨10.1016/j.trd.2013.03.012⟩
- Accession number :
- edsair.doi.dedup.....fa1206b665d98292a8de64e69b812159