Are vehicle trajectories simulated by dynamic traffic models relevant for estimating fuel consumption?

•Real-world driving cycles are simplified to correspond to the classical outputs of microscopic traffic flow models.•Fuel consumptions of original and simplified trajectories are compared.•The maximal speed and the time decelerating are the main influence on fuel consumption.•Accurate simulation of...

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Bibliographic Details
Published in:Transportation research. Part D, Transport and environment Transport and environment, 2013-10, Vol.24, p.17-26
Main Authors: Vieira da Rocha, Thamara, Can, Arnaud, Parzani, Céline, Jeanneret, Bruno, Trigui, Rochdi, Leclercq, Ludovic
Format: Article
Language:English
Subjects:
Applied sciences
Atmospheric pollution
Driving cycle
Engineering Sciences
Exact sciences and technology
Fuel consumption estimation
Ground, air and sea transportation, marine construction
Microscopic traffic modeling
Other
Pollution
Pollution sources. Measurement results
Road transportation and traffic
Trajectories simplification
Transportation planning, management and economics
Transports
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Summary:•Real-world driving cycles are simplified to correspond to the classical outputs of microscopic traffic flow models.•Fuel consumptions of original and simplified trajectories are compared.•The maximal speed and the time decelerating are the main influence on fuel consumption.•Accurate simulation of fuel consumption can be achieved from outputs of microscopic traffic models. 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.
ISSN:1361-9209
1879-2340
DOI:10.1016/j.trd.2013.03.012