Vehicle speed control algorithms for eco-driving

Sanjiban Kundu; Aditya Wagh; Chunming Qiao; Xu Li; Sandipan Kundu; Adel Sadek; Kevin Hulme; Changxu Wu

doi:10.1109/ICCVE.2013.6799930

Vehicle speed control algorithms for eco-driving

Sanjiban Kundu
, Aditya Wagh
, Chunming Qiao
, Xu Li
, Sandipan Kundu
, Adel Sadek
, Kevin Hulme
, Changxu Wu

SUNY Buffalo

Research output: Contribution to conference › Paper › peer-review

17 Scopus citations

Abstract

Given the rise in fuel prices and the harmful environmental consequences of excessive fuel consumption, we address a new problem in eco-driving, which examines how the upcoming V2V/V2I technology can be harnessed to improve fuel-efficiency. Unlike most of the existing studies in this area where the focus of control is on infrastructure side (i.e., signal timing plans), we present a new approach to eco-speed control at a microscopic level. We use a concept of platoon of vehicles to reduce fuel consumption in a journey covering multiple intersections in a multiple vehicle setting. Three heuristic algorithms are proposed and numerical results from simulations are also presented.

Original language	English
Pages	931-932
Number of pages	2
DOIs	https://doi.org/10.1109/ICCVE.2013.6799930
State	Published - 2013
Event	2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013 - Las Vegas, NV, United States Duration: Dec 2 2013 → Dec 6 2013

Conference

Conference	2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013
Country/Territory	United States
City	Las Vegas, NV
Period	12/2/13 → 12/6/13

Keywords

eco-driving
fuel consumption
platoon
V2I
V2V

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10.1109/ICCVE.2013.6799930

Cite this

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title = "Vehicle speed control algorithms for eco-driving",

abstract = "Given the rise in fuel prices and the harmful environmental consequences of excessive fuel consumption, we address a new problem in eco-driving, which examines how the upcoming V2V/V2I technology can be harnessed to improve fuel-efficiency. Unlike most of the existing studies in this area where the focus of control is on infrastructure side (i.e., signal timing plans), we present a new approach to eco-speed control at a microscopic level. We use a concept of platoon of vehicles to reduce fuel consumption in a journey covering multiple intersections in a multiple vehicle setting. Three heuristic algorithms are proposed and numerical results from simulations are also presented.",

keywords = "eco-driving, fuel consumption, platoon, V2I, V2V",

author = "Sanjiban Kundu and Aditya Wagh and Chunming Qiao and Xu Li and Sandipan Kundu and Adel Sadek and Kevin Hulme and Changxu Wu",

year = "2013",

doi = "10.1109/ICCVE.2013.6799930",

language = "English",

pages = "931--932",

note = "2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013 ; Conference date: 02-12-2013 Through 06-12-2013",

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TY - CONF

T1 - Vehicle speed control algorithms for eco-driving

AU - Kundu, Sanjiban

AU - Wagh, Aditya

AU - Qiao, Chunming

AU - Li, Xu

AU - Kundu, Sandipan

AU - Sadek, Adel

AU - Hulme, Kevin

AU - Wu, Changxu

PY - 2013

Y1 - 2013

N2 - Given the rise in fuel prices and the harmful environmental consequences of excessive fuel consumption, we address a new problem in eco-driving, which examines how the upcoming V2V/V2I technology can be harnessed to improve fuel-efficiency. Unlike most of the existing studies in this area where the focus of control is on infrastructure side (i.e., signal timing plans), we present a new approach to eco-speed control at a microscopic level. We use a concept of platoon of vehicles to reduce fuel consumption in a journey covering multiple intersections in a multiple vehicle setting. Three heuristic algorithms are proposed and numerical results from simulations are also presented.

AB - Given the rise in fuel prices and the harmful environmental consequences of excessive fuel consumption, we address a new problem in eco-driving, which examines how the upcoming V2V/V2I technology can be harnessed to improve fuel-efficiency. Unlike most of the existing studies in this area where the focus of control is on infrastructure side (i.e., signal timing plans), we present a new approach to eco-speed control at a microscopic level. We use a concept of platoon of vehicles to reduce fuel consumption in a journey covering multiple intersections in a multiple vehicle setting. Three heuristic algorithms are proposed and numerical results from simulations are also presented.

KW - eco-driving

KW - fuel consumption

KW - platoon

KW - V2I

KW - V2V

UR - https://www.scopus.com/pages/publications/84899952048

U2 - 10.1109/ICCVE.2013.6799930

DO - 10.1109/ICCVE.2013.6799930

M3 - Paper

AN - SCOPUS:84899952048

SP - 931

EP - 932

T2 - 2013 2nd IEEE International Conference on Connected Vehicles and Expo, ICCVE 2013

Y2 - 2 December 2013 through 6 December 2013

ER -

Vehicle speed control algorithms for eco-driving

Abstract

Conference

Keywords

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