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Analyzing Virtual Traffic Light Using State Machine in Vehicular Ad Hoc Network

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Next-Generation Networks

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 638))

Abstract

World is growing in urbanization which has escalated the growth of congestion and accidents on road. Due to increase in traffic, the commute time of people is becoming a huge problem in many cities. Traffic lights aid in smoothening traffic to some extent. To mitigate problem of congestion, safety and commute time of urban workers without leveraging huge expenses on new physical traffic lights a new approach known as virtual traffic lights (VTL) are proposed. Vehicles organize a VTL and help in reducing accidents at intersections. VTL improves the throughput of traffic at an intersection by updating itself to current traffic information and can also reduce carbon emissions and improve energy consumptions in a smart city. We propose a complete VTL algorithm through a finite state machine that will work and explore the horizons on larger environment in high and low mobility scenarios.

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Abbreviations

VANET:

Vehicular ad hoc networks

MANET:

Mobile ad hoc networks

ITS:

Intelligent transportation system

WAVE:

Wireless access in vehicular environment

OBU:

On-board unit

RSU:

Roadside unit

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Umang, Choudhary, P. (2018). Analyzing Virtual Traffic Light Using State Machine in Vehicular Ad Hoc Network. In: Lobiyal, D., Mansotra, V., Singh, U. (eds) Next-Generation Networks. Advances in Intelligent Systems and Computing, vol 638. Springer, Singapore. https://doi.org/10.1007/978-981-10-6005-2_25

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  • DOI: https://doi.org/10.1007/978-981-10-6005-2_25

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  • Publisher Name: Springer, Singapore

  • Print ISBN: 978-981-10-6004-5

  • Online ISBN: 978-981-10-6005-2

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