Abstract

Nowadays, the number of vehicles has increased exponentially, but the bedrock capacities of roads and transportation systems have not developed in an equivalent way to efficiently cope with the number of vehicles traveling on them. Due to this, road jamming and traffic correlated pollution have increased with the associated adverse societal and financial effect on different markets worldwide. A static control system may block emergency vehicles due to traffic jams. Wireless Sensor networks (WSNs) have gained increasing attention in traffic detection and avoiding road congestion. WSNs are very trendy due to their faster transfer of information, easy installation, less maintenance, compactness and for being less expensive compared to other network options. There has been significant research on Traffic Management Systems using WSNs to avoid congestion, ensure priority for emergency vehicles and cut the Average Waiting Time (AWT) of vehicles at intersections. In recent decades, researchers have started to monitor real-time traffic using WSNs, RFIDs, ZigBee, VANETs, Bluetooth devices, cameras and infrared signals. This paper presents a survey of current urban traffic management schemes for priority-based signalling, and reducing congestion and the AWT of vehicles. The main objective of this survey is to provide a taxonomy of different traffic management schemes used for avoiding congestion. Existing urban traffic management schemes for the avoidance of congestion and providing priority to emergency vehicles are considered and set the foundation for further research.

Highlights

  • Over the years vehicle usage has increased exponentially worldwide

  • This paper presents a survey of current urban traffic management schemes for priority-based signalling, and reducing congestion and the Average Waiting Time (AWT) of vehicles

  • The simulation results demonstrated that the Optimal VSN Data Forwarding (OVDF) gives best sensing coverage, a higher packet delivery ratio and reduces the delay about 25% and 20% compared to Vehicle Assisted Data Delivery (VADD) and Trajectory Based Data (TBD), respectively

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Summary

Introduction

Over the years vehicle usage has increased exponentially worldwide. Due to this, road traffic conditions have become complicated and chaotic. A common traffic control system utilizes static signalling times at intersections and does not provide priority to emergency vehicles such as ambulances, firefighters and police cars, possibly causing a loss of lives, damage or destruction of property, and increased fuel costs, pollution and congestion. In the present state-of-the-art, a wireless sensor network is a promising technology that offers a. In the state-of-the-art, a wireless network is a promising technology that offers solution forpresent the design and development of a sensor good deal of traffic control system applications. Duty control of the sensor is to monitor sensor network consists of a sensor and gateway Thethat dutycan of the sensor node is tophysical monitor traffic traffic traffic in an allocated area, utilizing differentnodes. The exclusive characteristics of WSNs include the mobility of sensor military,the industry the home.harsh.

A scattered
Key Issues in Urban
Overview
Sensing Evolution
Traffic Sensing Technologies
General Sensor Node
Hierarchy of Urban Traffic Management Systems
State-of-the-Art
Relatedcongestion
A Distributed Instrument for Measuring Traffic in
A Proof-of-Concept and demonstration of a High
Location
Congestion Avoidance Schemes
Priority-Based
Priority
Average Waiting Time Reduction Schemes
11. Logically
A WSN-based
Findings
Conclusions and Future Work

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