Dynamic Eco-Driving for Signalized Arterial Corridors and Its Indirect Network-Wide Energy/Emissions Benefits

Xia, Haitao; Boriboonsomsin, Kanok; Barth, Matthew

doi:10.1080/15472450.2012.712494

Cited by 154 publications

(89 citation statements)

References 10 publications

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“…Mandava developed an arterial velocity planning algorithms which could minimize the acceleration/deceleration rates to reduce the fuel consumption and emissions of individual vehicle [15]. Later, Barth proposed an upgraded algorithm with the minimum objective function of tractive power requirements of individual vehicle which shows a much better performance than before [16,[22][23][24][25][26]. Kamal used the model predictive control for improve vehicle's ecology in varying traffic environment [27].…”

Section: Introductionmentioning

confidence: 99%

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Jiang¹,

An²,

Jian³

et al. 2018

Sustainability

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Abstract:This research proposed an eco-approach and departure system for left-turn vehicles at a fixed-time signalized intersection. This system gives higher priority to enhancing traffic safety than improving mobility and fuel efficiency, and optimizes the entire traffic consisted of connected and automated vehicles (CAVs) and conventional human-driven vehicles by providing ecological speed trajectories for left-turn CAVs. All the ecological speed trajectories are offline optimized before the implementation of system. The speed trajectory optimization is constructed in Pontryagin's Minimum Principle structure. The before and after evaluation of the proposed system shows the percentage of vehicles that drive pass the intersection at safe speed increases by 2.14% to 45.65%, fuel consumption benefits range 0.53% to 18.44%, emission benefits range from 0.57% to 15.69%, no significant throughput benefits is observed. The proposed system significantly enhances the traffic safety and improves the fuel efficiency and emission reduction of left-turn vehicles with no adverse effect on mobility, and has a good robustness against the randomness of traffic. The investigation also indicates that the computation time of proposed system is greatly reduced compared to previous eco-driving system with online speed optimization. The computation time is up to 0.01 s. The proposed system is ready for real-time application.

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Section: Introductionmentioning

confidence: 99%

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Jiang¹,

An²,

Jian³

et al. 2018

Sustainability

View full text Add to dashboard Cite

show abstract

“…Some policies need to be accepted by the public, while others depend directly on the mode of driving and on travel decisions. These measures include efficient driving or eco-driving, which has major potential for individual fuel savings, e.g., Xia et al [7] developed an eco-driving velocity planning methodology, showing individual vehicle fuel consumption and CO 2 reductions of around 10-15% depending on corridor parameters (including traffic volume and speed), and on the other hand, Ahn and Rakha [8] achieved significant improvements to energy and air quality (6-7% fuel and CO 2 savings) when drivers utilize a slower route although they incur additional travel time.…”

Section: Introductionmentioning

confidence: 99%

Green Eco-Driving Effects in Non-Congested Cities

et al. 2017

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Despite technological advances in engines and fuels, the transportation sector is still one of the largest emitters of greenhouse gas (GHG). Driving patterns, including eco-driving techniques, are a complementary measure for saving GHG emissions. Most eco-driving studies so far have been conducted in large cities suffering chronic congestion problems. The aim of this research is therefore to analyse the potential of driver behaviour for reducing emissions in a small non-congested city. Driver performance parameters such as travel speeds, number of stops, revolutions per minute, and maximum acceleration-deceleration are also studied. The methodology is designed to measure the effect of both eco-driving and eco-routing under real traffic conditions. A campaign was carried out in the city of Caceres (Spain) to collect data on various types of roads under different traffic conditions. This research concludes that eco-driving leads to CO 2 savings on all routes and road types of 17% in gasoline engines and 21% in diesel, although travel times are increased by 7.5% on average. The shortest route is also the most ecological, regardless of the traffic volume and characteristics, implying that consumption in non-congested cities depends mainly on distance travelled rather than driving patterns in terms of number of stops, speed and acceleration.

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“…The emissions reduction potential of ICT-based solutions has traditionally been viewed as secondary to impacts on traffic safety and congestion. Nevertheless, recently, different researchers have been studying the effects of these new technologies on fuel consumption and CO 2 emissions [1][2][3][4].…”

Section: Introductionmentioning

confidence: 99%

Managing Traffic Flows for Cleaner Cities: The Role of Green Navigation Systems

2017

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Cities worldwide suffer from serious air pollution problems and are main contributors to climate change. Green Navigation systems have a great potential to reduce fuel consumption and exhaust emissions from traffic. This research evaluates the impacts of different percentages of green drivers on traffic, CO 2 , and NO x over the entire Madrid Region. A macroscopic traffic model was combined with an enhanced macroscopic emissions model and a GIS (Geographic Information Systems) to simulate emissions on the basis of average vehicle speeds and traffic intensity at the link level. NO x emissions are evaluated, taking into account not only the exhaust emissions produced by transport activity, but also the amount of the population exposed to these air pollutants. Results show up to 10.4% CO 2 and 13.8% NO x reductions in congested traffic conditions for a 90% penetration of green drivers; however, the population's exposure to NO x increases up to 20.2%. Moreover, while traffic volumes decrease by 13.5% for the entire region, they increase by up to 16.4% downtown. Travel times also increase by 28.7%. Since green drivers tend to choose shorter routes through downtown areas, eco-routing systems are an effective tool for fighting climate change, but are ineffective to reduce air pollution in dense urban areas.

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Dynamic Eco-Driving for Signalized Arterial Corridors and Its Indirect Network-Wide Energy/Emissions Benefits

Cited by 154 publications

References 10 publications

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Eco-Approach and Departure System for Left-Turn Vehicles at a Fixed-Time Signalized Intersection

Green Eco-Driving Effects in Non-Congested Cities

Managing Traffic Flows for Cleaner Cities: The Role of Green Navigation Systems

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