Communication based accident avoidance and congestion control mechanism in VANETs

Roy, Alak; Chakraborty, Jayasree

doi:10.1109/isacc.2015.7377363

Cited by 8 publications

(6 citation statements)

References 5 publications

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“…However, in special cases, priorities need to be considered. To overcome the risk of accidents and congestion issues, a solution was proposed to identify and analyze messages received by vehicles to determine the authenticity of the received message [19].…”

Section: Literature Reviewmentioning

confidence: 99%

Reliability and Connectivity Analysis of Vehicular Ad Hoc Networks Under Various Protocols Using a Simple Heuristic Approach

Saajid

Wang

et al. 2019

IEEE Access

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Vehicular ad hoc networks (VANETs) provide alternative technology solutions to various transportation problems, and they provide a communication solution in intelligent transportation systems. However, the reliability and connectivity of VANET networks are subjects of concern. In building any routing protocol, a minimum level of network reliability must be ensured, which requires conducting a reliability analysis in order to investigate the different factors that affect reliability. Conducting a real-world reliability analysis is very expensive, and it requires significant preparation. Simulations are computationally costly due to the high number of available paths between the source node and the destination. In this article, a simplified approach is conducted that is mainly based on a simulation model of a road-type environment for a VANET network. A heuristic approach is developed for calculating the reliability based on the highest probability paths using the Dijkstra algorithm and the inclusion-exclusion approach for calculating the reliability of a given path. For vehicle-to-vehicle (V2V) communication, short-range protocols were considered-ZigBee (802.15.4), WiFi (IEEE 802.11), and Bluetooth (802.15.1)-as well as their standards for data rates, association time, and transmission range. On the other hand, the IEEE 802.11b was used for vehicle-toroadside (V2R) communications. Another parameter that was considered was the speed limit of the road environment, and three types of road environments were evaluated: highway, urban, and mixed. Other factors that were considered were the number of vehicles, the number of roadside units, and the type of message that was transmitted. The effects of all of these elements on the connectivity of the network were studied.

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Section: Literature Reviewmentioning

confidence: 99%

Reliability and Connectivity Analysis of Vehicular Ad Hoc Networks Under Various Protocols Using a Simple Heuristic Approach

Saajid

Wang

et al. 2019

IEEE Access

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“…To minimize processing overhead, the authors proposed a solution called Optimized Dissemination of Alarm Message (ODAM) that also limited to regional and freight vehicles. Roy et al [5] presented a mechanism to avoid accidents and prevent congestion in the vehicle environment. In this scenario, the affected vehicle generates an emergency message after the accident.…”

Section: Related Workmentioning

confidence: 99%

“…Warning messages concerned with traffic signal violations, road conditions, and traffic congestion and so on. VANET communication is categorized in two ways, namely Vehicle-To-Vehicle Communication (V2V), Vehicle-To-Infrastructure (V2I) [5]. In V2V communication, limited communication services such as Wi-Fi and Wireless Access in Vehicular Environment (WAVE) are utilized.…”

Section: Introductionmentioning

confidence: 99%

A Hybridization of Artificial Neural Network and Support Vector Machine for Prevention of Road Accidents in Vanet

Dutta¹,

Singhal²

2019

IJCET

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Vehicular Ad hoc Network (VANET) is known as an infrastructure less network having dynamic nodes with Road Side Units (RSUs). Data Broadcasting becomes a very difficult task because of more density, scalability, randomness, mobility of vehicles. VANET has an ability to prevent accidents by transmitting data on-time on the network and this has raised an attention for number of researchers. Therefore, in this paper a realistic mechanism has been proposed to avoid the fatal accidents on road using clustering approach with the concept of Artificial Intelligence. Hybridization of Artificial Neural Network (ANN) and Support Vector Machine (SVM) is conducted to speed up the data transmission process that assists in providing information accurately and on-time. To demonstrate the efficacy of the novel mechanism, parameters such as Throughput, Packet Delivery ratio (PDR) are considered.

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“…Roy et al [ 20 ] proposed accident avoidance and congestion prevention in a vehicular environment. In this scheme, after the accident occurs, the affected vehicle generates the emergency message.…”

Section: Literature Reviewmentioning

confidence: 99%

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

Aldegheishem

Yasmeen

Maryam

et al. 2018

Sensors

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Traffic accidents have become an important problem for governments, researchers and vehicle manufacturers over the last few decades. However, accidents are unfortunate and frequently occur on the road and cause death, damage to infrastructure, and health injuries. Therefore, there is a need to develop a protocol to avoid or prevent traffic accidents at the extreme level in order to reduce human loss. The aim of this research is to develop a new protocol, named as the Traffic Accidents Reduction Strategy (TARS), for Vehicular Ad-hoc NETworks (VANETs) to minimize the number of road accidents, decrease the death rate caused by road accidents, and for the successful deployment of the Intelligent Transportation System (ITS). We have run multiple simulations and the results showed that our proposed scheme has outperformed DBSR and POVRP routing protocols in terms of the Message Delivery Ratio (MDR), Message Loss Ratio (MLR), Average Delay, and Basic Safety Message.

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Communication based accident avoidance and congestion control mechanism in VANETs

Cited by 8 publications

References 5 publications

Reliability and Connectivity Analysis of Vehicular Ad Hoc Networks Under Various Protocols Using a Simple Heuristic Approach

Reliability and Connectivity Analysis of Vehicular Ad Hoc Networks Under Various Protocols Using a Simple Heuristic Approach

A Hybridization of Artificial Neural Network and Support Vector Machine for Prevention of Road Accidents in Vanet

Smart Road Traffic Accidents Reduction Strategy Based on Intelligent Transportation Systems (TARS)

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