A Novel Real-time Traffic Information System Based on Wireless Mesh Networks

Zhang, Xuedan; Hong, Jianfeng; Fan, Shangchun; Wei, Zhongya; Cao, Jiannong; Ren, Yong

doi:10.1109/itsc.2007.4357696

Cited by 21 publications

(10 citation statements)

References 8 publications

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“…The main aim of the cooperative driving is to save the energy and to minimize the air pollution [55]. It is a vehicle-to-vehicle based communication [58].…”

Section: Literature Reviewmentioning

confidence: 99%

Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

Nasir

Noor

Kalam

et al. 2014

The Scientific World Journal

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Greenhouse gas emitted by the transport sector around the world is a serious issue of concern. To minimize such emission the automobile engineers have been working relentlessly. Researchers have been trying hard to switch fossil fuel to alternative fuels and attempting to various driving strategies to make traffic flow smooth and to reduce traffic congestion and emission of greenhouse gas. Automobile emits a massive amount of pollutants such as Carbon Monoxide (CO), hydrocarbons (HC), carbon dioxide (CO2), particulate matter (PM), and oxides of nitrogen (NOx). Intelligent transport system (ITS) technologies can be implemented to lower pollutant emissions and reduction of fuel consumption. This paper investigates the ITS techniques and technologies for the reduction of fuel consumption and minimization of the exhaust pollutant. It highlights the environmental impact of the ITS application to provide the state-of-art green solution. A case study also advocates that ITS technology reduces fuel consumption and exhaust pollutant in the urban environment.

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“…The main aim of the cooperative driving is to save the energy and to minimize the air pollution [55]. It is a vehicle-to-vehicle based communication [58].…”

Section: Literature Reviewmentioning

confidence: 99%

Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

Nasir

Noor

Kalam

et al. 2014

The Scientific World Journal

View full text Add to dashboard Cite

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“…Then, the local traffic information can be transmitted to traffic information center (TIC).After the process of the collected information; vehicles can obtain the required information from TIC via 3G or wifi. In literature [6,7,8], research has been devoted to infrastructure-based approach. While in the latter approach, roadside sensors, roadside communication equipments and TIC are no more needed.…”

Section: Related Workmentioning

confidence: 99%

Real-Time Vehicle Route Guidance Based on Connected Vehicles

Yuan

Zhou

Wang

et al. 2013

2013 IEEE International Conference on Green Computing and Communications and IEEE Internet of Things and IEEE Cyber, Physical A

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With advances in connected vehicle technology, realtime vehicle route guidance systems gradually become indispensable equipments for drivers. Conventional route guidance systems are designed to direct a vehicle along the shortest path from the origin to the destination without considering the dynamic traffic information. Therefore the state-of-the-art route guidance systems incorporate real-time traffic information to find better paths. So, this paper presents a novel approach to realize the real-time vehicle route guidance. It focuses on the way to determine the optimal route based on the dynamic road segments division and the traditional Dijkstra algorithm. This approach divides the road to sub-sections with the traffic information, so the state of each segment can be easily figured out (i.e. average speed or average travel time) .Then a dynamic road network graph can be drawn out. And traditional Dijkstra algorithm can find optimal route on it. A simulation is implemented to show optimal route at different time. It also compares with the traditional Dijkstra algorithm and the result is validated.

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“…In the literature, different infrastructure-based route guidance algorithms have been proposed [9]- [11]. In [9], authors propose a simple traffic flow model based on the V-K relationships and compare three types of route choices: shortest distance (SD), shortest time (ST) and shortest time with route information sharing (RIS).…”

Section: Related Workmentioning

confidence: 99%

A novel route guidance algorithm using beamforming techniques for vehicular networks

Chahbi

Amara

Belghith

2013

38th Annual IEEE Conference on Local Computer Networks - Workshops

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Route guidance systems become indispensable for car drivers because of its great convenience. To be efficient, these systems require optimal selection of the routes according to the preferences of drivers. In this paper, a novel route guidance algorithm is proposed for vehicular networks (VANETS). It uses the MVDR beamforming technique which can enhance coverage and reduce radio interference in wireless networks. The proposed algorithm aims to optimize coverage and connectivity of drivers to public hotspots while ensuring a reasonable total traversed distance. Performance results show that our algorithm outperforms the route guidance system using omnidirectionnal antennas and the shortest path algorithm.Index Terms-route guidance system, MVDR beamforming, vehicular networks.

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A Novel Real-time Traffic Information System Based on Wireless Mesh Networks

Cited by 21 publications

References 8 publications

Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

Reduction of Fuel Consumption and Exhaust Pollutant Using Intelligent Transport Systems

Real-Time Vehicle Route Guidance Based on Connected Vehicles

A novel route guidance algorithm using beamforming techniques for vehicular networks

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