On the Impact of Virtual Traffic Lights on Carbon Emissions Mitigation

Ferreira, Michel; d’Orey, Pedro M.

doi:10.1109/tits.2011.2169791

Cited by 126 publications

(60 citation statements)

References 33 publications

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“…New models implement Virtual Traffic Lights (VTL) [8] as method that allows each smart car to receive its individual traffic signal, therefore acquiring better control and throughput. Using virtual traffic lights it is possible to increase average speed up to 26% in low and up to 41% in high density traffic, while reducing CO 2 emissions up to 18% [9].…”

Section: State Of the Artmentioning

confidence: 99%

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Bosankic¹,

Mehmedović

2016

MATEC Web Conf.

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Abstract. In this paper, a new fuzzy-behavior-based algorithm for roundabout intersection management is presented. The algorithm employs cooperative intelligence and includes intelligent vehicles and infrastructure to calculate speed profiles for different vehicles, in order to achieve more comfortable driving profiles, as well to reduce congestion and CO2 emissions. The algorithm uses adaptive spatio-temporal reservation technique and was tested in MATLAB/Simulink environment. The algorithm is designed to function in different scenarios with both cooperative and non-cooperative vehicles, as well as optional intersection infrastructure. Results have show that using the proposed algorithm different vehicle communication types can be successfully combined in order to increase traffic flow through roundabout intersections.

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Section: State Of the Artmentioning

confidence: 99%

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Bosankic¹,

Mehmedović

2016

MATEC Web Conf.

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“…4: VANET Integration in Logistics example enhanced route guidance [93] and coordination by logistics providers, optimal scheduling of traffic light, and lane merging assistance by public coordinators) are intended to optimize routes [94], while also providing a reduction of gas emissions and fuel consumption. These applications are even more better when sensors are deployed for monitoring and controlling with VANET technology [95].…”

Section: Auto21mentioning

confidence: 99%

Synergies of Advanced Technologies and Role of VANET in Logistics and Transportation

Khaliq¹,

Qayyum²,

Pannek³

2016

ijacsa

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Abstract-In Intelligent Transport Systems (ITS), Vehicular Ad-hoc Network (VANET) is one of key wireless technologies, which helps in managing road safety, traffic efficiency, fleet, logistics and transportation. The objective of this paper is to give an overview of the implication of different technologies and placement of VANET in transportation and specifically in logistics. We provide researchers with an overview of considered technologies in logistics scenarios and the current projects regarding VANET for safety and non-safety applications. We additionally discuss current and potential domains in logistics in which new applications can improve efficiency by use of new and existing technologies.

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“…Ferreira et al [13] looked at using virtual traffic lights based on vehicle to vehicle communication to improve congestion. This requires not only a high level of accuracy but also a penetration rate of 100% to prevent crashes.…”

Section: B Inter-vehicle Coordinationmentioning

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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On the Impact of Virtual Traffic Lights on Carbon Emissions Mitigation

Cited by 126 publications

References 33 publications

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Cooperative Intelligence in Roundabout Intersections Using Hierarchical Fuzzy Behavior Calculation of Vehicle Speed Profile

Synergies of Advanced Technologies and Role of VANET in Logistics and Transportation

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

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