NDLI: Indirect network-wide energy/emissions benefits from dynamic eco-driving on signalized corridors

Content Provider	IEEE Xplore Digital Library
Author	Haitao Xia Boriboonsomsin, K. Barth, M.
Copyright Year	2011
Description	Author affiliation: Department of Electrical Engineering, University of California Riverside, Riverside, CA 92507, USA (Haitao Xia; Barth, M.) \|\| College of Engineering - Center for Environmental Research and Technology, University of California Riverside, Riverside, CA 92507, USA (Boriboonsomsin, K.)
Abstract	In recent years there has been significant interest in intelligent transportation technology that has specific energy and environmental benefits. Among these, dynamic eco-driving techniques on signalized corridors are being developed and employed with energy and environmental benefits (e.g., lower fuel consumption and emissions) in the general range of 5% to 20% for the individual vehicles that have the technology (the vehicles that are able to plan their velocity trajectories before they approaching an intersection, basing on the signal phase and timing (SPAT) information through dedicated short-range communication (DSRC)). The topic of this paper addresses the question on whether there are any additional network-wide energy/emissions benefits for the overall traffic from initial low-penetration rates of the technology. To this end, we have carried out a research study consisting of an extensive set of traffic simulations for an arterial corridor with different levels of congestion and different penetration rates of dynamic eco-driving technology. It is found that there are indeed indirect network-wide energy and emissions benefits for the overall traffic, even at low penetration rates of the dynamic eco-driving technology-equipped vehicles. In the experiments, the maximum fuel saving and emission reduction occurs during medium congestion (corresponding to traffic volume of 300 vehicles/lane/hour) and with low penetration rates (5%, 10% and 20%). Under these conditions, the total traffic energy/emissions typically triple what is saved from the technology-equipped vehicles alone (e.g., total 4% savings compared to 1.3% savings).
Starting Page	329
Ending Page	334
File Size	617212
Page Count	6
File Format	PDF
ISBN	9781457721984
ISSN	21530009
e-ISBN	9781457721977
DOI	10.1109/ITSC.2011.6083073
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-05
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Vehicles Fuels Vehicle dynamics Trajectory Traffic control Heuristic algorithms Air pollution intelligent speed adaptation air quality
Content Type	Text
Resource Type	Article

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