Vehicle-to-infrastructure communication based on 802.11n wireless local area network technology

Jansons, J.; Pētersons, Ernests; Bogdanovs, Nikolajs

doi:10.1109/bcfic.2012.6217975

Cited by 4 publications

(2 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…IEEE 802.11 technical committee have defined DSRC as 802.11p Wireless Access in Vehicular Environments (WAVE) [ 17 ]. Some researchers have focused in studying the performance of 802.11p in urban traffic environments [ 18 , 19 , 20 ]. On the other hand, 3GPP standards are used in other communication solutions proposed for V2V and V2I [ 21 , 22 ].…”

Section: Related Workmentioning

confidence: 99%

“…For the control scenario we had a small vehicular network composed by 15 streets with random capacities in the interval [ 7 , 20 ] and a distance equal to that capacity. Additionally, we defined specific origin and destination nodes O, N. The same O/D is selected to evaluate if when a group of vehicles with the same origin / destination characteristics gets a new route, and the new route for those vehicles is the same, congestion is moved to the new route instead of get better.…”

Section: Validation Scenariosmentioning

confidence: 99%

See 1 more Smart Citation

Congestion Based Mechanism for Route Discovery in a V2I-V2V System Applying Smart Devices and IoT

Parrado

Donoso

2015

Sensors

View full text Add to dashboard Cite

The Internet of Things is a new paradigm in which objects in a specific context can be integrated into traditional communication networks to actively participate in solving a determined problem. The Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) technologies are specific cases of IoT and key enablers for Intelligent Transportation Systems (ITS). V2V and V2I have been widely used to solve different problems associated with transportation in cities, in which the most important is traffic congestion. A high percentage of congestion is usually presented by the inappropriate use of resources in vehicular infrastructure. In addition, the integration of traffic congestion in decision making for vehicular traffic is a challenge due to its high dynamic behavior. In this paper, an optimization model over the load balancing in the congestion percentage of the streets is formulated. Later, we explore a fully congestion-oriented route discovery mechanism and we make a proposal on the communication infrastructure that should support it based on V2I and V2V communication. The mechanism is also compared with a modified Dijkstra’s approach that reacts at congestion states. Finally, we compare the results of the efficiency of the vehicle’s trip with the efficiency in the use of the capacity of the vehicular network.

show abstract