2015 European Control Conference (ECC) 2015
DOI: 10.1109/ecc.2015.7330939
|View full text |Cite
|
Sign up to set email alerts
|

Distributed traffic control for reduced fuel consumption and travel time in transportation networks

Abstract: This paper proposes a distributed framework for optimal control of vehicles in transportation networks. The objective is to reduce the balanced fuel consumption and travel time through hybrid control on speed limit and ramp metering rate. The dual decomposition theory associated with the subgradient method is then applied in order to decompose the optimal control problem into a series of suboptimal problems and then solve them individually via networked road infrastructures (RIs). Coordination among connected … Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1

Citation Types

0
2
0

Year Published

2016
2016
2018
2018

Publication Types

Select...
2
1

Relationship

1
2

Authors

Journals

citations
Cited by 3 publications
(2 citation statements)
references
References 39 publications
0
2
0
Order By: Relevance
“…FASTLANE and METANET, have been adopted in energy-efficient traffic management, it is time consuming to find a convergent solution when a highly nonlinear traffic flow model is considered (Zegeye, 2011). Speed intervals have been used to obtain an approximate solution without solving highly 50 nonlinear dynamics, which results in accumulative errors over time (Dai et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
See 1 more Smart Citation
“…FASTLANE and METANET, have been adopted in energy-efficient traffic management, it is time consuming to find a convergent solution when a highly nonlinear traffic flow model is considered (Zegeye, 2011). Speed intervals have been used to obtain an approximate solution without solving highly 50 nonlinear dynamics, which results in accumulative errors over time (Dai et al, 2015).…”
Section: Introductionmentioning
confidence: 99%
“…FASTLANE and METANET, have been adopted in energy-efficient traffic management, it is time consuming to find a convergent solution when a highly nonlinear traffic flow model is considered (Zegeye, 2011). Speed intervals have been used to obtain an approximate solution without solving highly 50 nonlinear dynamics, which results in accumulative errors over time (Dai et al, 2015).This work focuses on managing one type of highway infrastructure, dynamic speed limit signs, to control traffic flow speeds in order to reduce total fuel consumption during a specific time period. We adopt Lighthill-Whitham-Richard 55 (LWR) macroscopic traffic flow model, introduced by Ligthill and Whitham in the 1950's (Lighthill and Whitham, 1955), and COPERT fuel consumption esti-where J f and J t are fuel consumption estimated by COPERT and TTT of all vehicles, respectively.…”
mentioning
confidence: 99%