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https://doi.org/10.1109/itsc.2...
Article . 2015 . Peer-reviewed
Data sources: Crossref
DBLP
Conference object . 2024
Data sources: DBLP
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Eco-Routing Using V2I Communication: System Evaluation

Authors: Ahmed Elbery; Hesham Rakha; Mustafa ElNainay; Wassim Drira; Fethi Filali;

Eco-Routing Using V2I Communication: System Evaluation

Abstract

Eco-routing is a technique proposed to optimize the fuel consumption in transportation networks. User feedback is used to compute the route's fuel consumption level for other vehicles to build their minimum path routes. When a vehicle traverses a road link, it reports its fuel consumption on this link to a Traffic Management Center (TMC), which updates the vehicles routing information and then vehicles are assigned routes based on this updated information. The vehicular network is responsible for transferring this information from vehicles to the TMC, where packets are subjected to delays and drops. To the best of our knowledge, none of the previous research efforts on eco-routing studied the effect of the data network and communication parameters on the performance of eco-routing algorithms. This paper, firstly, introduces a realistic simulation framework for eco-routing that can capture all the details of both the transportation and the communication networks. Secondly, it studies the effect of communication parameters on the eco-routing performance. The results show that the errors due to data packet drops and delay are not significant. Consequently, the algorithm is robust against drops and delay. However, the number and locations of the roadside units (RSUs) are important factors that affect the network-wide fuel consumption level.

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Keywords

VANET, Application, Fuel consumption, Eco-routing, ITS, Simulation

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    influence
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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Average
Green