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

Doolan, Ronan; Muntean, Gabriel‐Miro

doi:10.1109/vtcspring.2013.6692807

Cited by 60 publications

(39 citation statements)

References 17 publications

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“…The fitness function is made up of weighted cost components consisting of road travel time, road used capacity and road fuel consumption. Doolan et al [11] proposed a VANET-based routing algorithm which considered traffic conditions and road conditions, such as road roughness and gradient, in order to route vehicles on a more fuel efficient route.…”

Section: A Vanet-based Routing Algorithmsmentioning

confidence: 99%

Time-Ants: An innovative temporal and spatial ant-based vehicular Routing Mechanism

Doolan

Muntean

2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

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Abstract-Increasing amounts of time is wasted due to traffic congestion in both developed and developing countries. This has severe negative effects, including drivers stress due to increased time pressure, reduced usage efficiency of trucks and other commercial vehicles, and increased gas emissions--responsible for climate change and air pollution affecting population health in densely populated areas. As existing centralized approaches were neither efficient, nor scalable, there is a need for alternative approaches. Social insects provide many solutions for dealing with decentralized problems. For instance ants choose their routes based on pheromones left by previous ants. However, Ant Colony Optimization is not directly applicable to vehicle routing, as routing the vehicles to the same road would cause traffic congestion. Yet, the traffic is broadly similar from work-to work-day. This paper introduces an ant-colony optimizationbased algorithm called Time-Ants. Time-Ants considers that an amount of "pheromone" or a traffic rating is assigned to each road at any given time in the day. Using an innovative algorithm the vehicle's routes are chosen based on these traffic ratings, aggregated in time. After several iterations this results in a global optimum for the traffic system. Bottlenecks are identified and avoided by machine learning. Time-Ants outperforms another leading algorithm by up to 19% in terms of percentage of vehicles to reach the destination within a given time-frame.

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Section: A Vanet-based Routing Algorithmsmentioning

confidence: 99%

Time-Ants: An innovative temporal and spatial ant-based vehicular Routing Mechanism

Doolan

Muntean

2014

2014 IEEE Intelligent Vehicles Symposium Proceedings

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“…Mehta, Kottapalli, Mahmassani and Bhat (2010) propose a methodology to link the studies about the ITS impact in mobility and sustainability carried out in different cities to avoid duplicate researches. EcoTrec, a novel "eco-friendly" routing algorithm is proposed by Doolan and Muntean (2013). This algorithm considers features like pavement temperature, weather information and also road traffic conditions with the purpose of improving fuel saving and reducing carbon dioxide emissions.…”

Section: Related Workmentioning

confidence: 99%

OSA: A Vanet application focused on fuel saving and reduction of CO2 emissions

Orozco

Llano

2014

sist.telemat.

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With the growth in the number of vehicles moving through the streets, high vehicular flow has become a mobility and public health problem for governmental institutions and people since time of travel, gasoline consumption, and greenhouse gas [GHG] emissions have suffered an important increase. Hereby, policies and actions are required to reduce the impact of this increase. In this context, we have developed an application for the simulation of Vehicular Ad hoc Networks [VANET] using two software applications: SUMO and OMNeT++. The application we developed optimizes fuel usage and reduces GHG emissions; showing that vehicles following a preset speed (previously studied), gasoline consumption and GHG emissions present a considerable decrease compared to vehicles not running at that speed. ResumenCon el aumento en el número de vehículos en las carreteras, el elevado flujo vehicular se ha convertido en un problema de movilidad y de salud pública para las instituciones gubernamentales y para las personas; ya que el tiempo de viaje, la gasolina consumida y las emisiones de Gases de Efecto Invernadero [GEI] han aumentado considerablemente. Por esto se requieren políticas, medidas y acciones para disminuir el impacto que está teniendo dicho incremento. Bajo este contexto, se ha desarrollado una aplicación para redes vehiculares en los simuladores SUMO y OMNeT++ que optimiza el consumo de gasolina y disminuye las emisiones de GEI, demostrando que si los vehículos respetan una velocidad preestablecida y estudiada anteriormente, el consumo de gasolina y las emisiones de GEI disminuyen considerablemente en comparación a los vehículos que no siguen dicha velocidad.

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“…These inputs are average compatibility (AC), average distance (AD) and average velocity (AV). The rules employed in the computation of the crisp values for AC, AD and AV are similar to those used in [8] and are presented in equations (3), (4) and (5).…”

Section: A Overviewmentioning

confidence: 99%

“…Several steps towards this new generation of incar infotainment solutions have already been made. Examples include a VANET-based decentralized mechanism for free parking place discovery [3], green vehicular routing solutions [4], [5] and video streaming solutions over VANETs [6], [7]. Based on the consideration that smart applications that provide personalized content to vehicle passengers according to their interests are most attractive in-car applications, we proposed a user-oriented solution for multimedia content delivery over VANETs in [8].…”

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confidence: 99%

User-Oriented Fuzzy Logic-Based Clustering Scheme for Vehicular Ad-Hoc Networks

Tal

Muntean

2013

2013 IEEE 77th Vehicular Technology Conference (VTC Spring)

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Abstract-Vehicular ad-hoc networks (VANETs) are considered to have an enormous potential in enhancing road traffic safety and traffic efficiency. Socio-economic challenges, network scalability and stability are identified among the main challenges in VANETs. In response to these challenges, this paper proposes a novel user-oriented Fuzzy Logic-based k-hop distributed clustering scheme for VANETs that takes into consideration the vehicle passenger preferences. The novelty element introduced is the employment of Fuzzy Logic as a prominent player in the clustering scheme. To the best knowledge of the authors, there are no Fuzzy Logic-based clustering algorithms designed for VANETs. Simulation-based testing demonstrate how the proposed solution increases the stability of vehicular networks, lifetime and stability of cluster heads compared to both the classic LowestID algorithm and an utility function-based clustering scheme previously proposed by the same authors.

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

Cited by 60 publications

References 17 publications

Time-Ants: An innovative temporal and spatial ant-based vehicular Routing Mechanism

Time-Ants: An innovative temporal and spatial ant-based vehicular Routing Mechanism

OSA: A Vanet application focused on fuel saving and reduction of CO2 emissions

User-Oriented Fuzzy Logic-Based Clustering Scheme for Vehicular Ad-Hoc Networks

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