An Intelligent Traffic Management System for the Eco-Optimization of Urban Traffic Flows

Lioudakis, Georgios V.; Papagianni, Chrysa; Salden, Alfons H.; Kaklamani, Dimitra I.; Venieris, Iakovos S.

doi:10.1109/iccw.2010.5503897

Cited by 3 publications

(2 citation statements)

References 17 publications

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“…Knowledge of when traffic lights will change allows for smoother deceleration/acceleration of vehicles [7], and for turning off the engine of vehicles when waiting for the traffic light to turn green [9], helping reduce fuel consumption. Other papers concentrated on reducing journey time, which would also reduce emissions by reducing idle time spent [10]. However emissions are determined by a variety of factors such as acceleration, velocity, road surface, and wind speed and direction, not just idle time as assumed in some of these papers [10].…”

Section: Related Workmentioning

confidence: 99%

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VANET-Enabled Eco-Friendly Road Characteristics-Aware Routing for Vehicular Traffic

Doolan

Muntean

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Abstract-The lack of significant breakthroughs in terms of alternative energy sources has caused both fuel consumption and gas emissions to constantly increase. In this context, improving fuel efficiency and reducing emissions in the transportation sector is vital, as vehicles are one of the important contributors to air pollution. This paper introduces EcoTrec, a novel eco-friendly routing algorithm for vehicular traffic which considers road characteristics such as surface conditions and gradients, as well as existing traffic conditions to improve the fuel savings of vehicles and reduce gas emissions. EcoTrec makes use of the Vehicular Ad-hoc NETworks (VANET) both for collecting data from distributed vehicles and to disseminate information in aid of the routing algorithm. The algorithm calculates the fuel efficiency of various routes and then directs the vehicle to a fuel efficient route, while also avoiding flash crowding. Simulationbased tests showed that by using EcoTrec, fuel emissions were significantly reduced, when compared with existing state-of-theart vehicular routing algorithms.

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Section: Related Workmentioning

confidence: 99%

“…Other papers concentrated on reducing journey time, which would also reduce emissions by reducing idle time spent [10]. However emissions are determined by a variety of factors such as acceleration, velocity, road surface, and wind speed and direction, not just idle time as assumed in some of these papers [10].…”

Section: Related Workmentioning

confidence: 99%

VANET-Enabled Eco-Friendly Road Characteristics-Aware Routing for Vehicular Traffic

Doolan

Muntean

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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show abstract

Intelligent adaptive precrash control for autonmous vehicle agents (CBR Engine & hybrid A* path planner)

Elbagoury

Salem

Vlădăreanu

2016

2016 International Conference on Advanced Mechatronic Systems (ICAMechS)

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Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt

Gonder¹,

Wood²,

Rajagopalan³

2016

JTTE

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Abstract:The National Renewable Energy Laboratory and General Motors evaluated connectivity-enabled efficiency enhancements for the Chevrolet Volt. A high-level model was developed to predict vehicle fuel and electricity consumption based on driving characteristics and vehicle state inputs. These techniques were leveraged to optimize energy efficiency via green routing and intelligent control mode scheduling, which were evaluated using prospective driving routes between tens of thousands of real-world origin/destination pairs. The overall energy savings potential of green routing and intelligent mode scheduling was estimated at 5% and 3%, respectively. These represent substantial opportunities considering that they only require software adjustments to implement.

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An Intelligent Traffic Management System for the Eco-Optimization of Urban Traffic Flows

Cited by 3 publications

References 17 publications

VANET-Enabled Eco-Friendly Road Characteristics-Aware Routing for Vehicular Traffic

VANET-Enabled Eco-Friendly Road Characteristics-Aware Routing for Vehicular Traffic

Intelligent adaptive precrash control for autonmous vehicle agents (CBR Engine & hybrid A* path planner)

Connectivity-Enhanced Route Selection and Adaptive Control for the Chevrolet Volt

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