RFID-Based Smart Traffic Control Framework for Emergency Vehicles

Naik, Tejas; Roopalakshmi, R.; Ravi, Nagireddy; Jain, Pawdhan; Sowmya, B. H.; Manichandra,

doi:10.1109/icicct.2018.8473001

Cited by 33 publications

(12 citation statements)

References 10 publications

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“…When an EV approaches a junction, a Radio Frequency Identification (RFID)-based system is suggested, as in paper [9], to monitor and regulate traffic signals so that the vehicle may easily exit the traffic jam and go to its destination. An experimental setup utilizing Arduino and light-emitting diode (LED) displays was chosen to mimic a realworld traffic situation to test the suggested framework.…”

Section: Literature Reviewmentioning

confidence: 99%

Autonomous Traffic System for Emergency Vehicles

2022

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An emergency can occur at any time. To overcome that emergency efficiently, we require seamless movement on the road to approach the destination within a limited time by using an Emergency Vehicle (EV). This paper proposes an emergency vehicle management solution (EVMS) to determine an efficient vehicle-passing sequence that allows the EV to cross a junction without any delay. The proposed system passes the EV and minimally affects the travel times of other vehicles on the junction. In the presence of an EV in the communication range, the proposed system prioritizes the EV by creating space for it in the lane adjacent to the shoulder lane. The shoulder lane is a lane that cyclists and motorcyclists will use in normal situations. However, when an EV enters the communication range, traffic from the adjacent lane will move to the shoulder lane. As the number of vehicles on the road increases rapidly, crossing the EV in the shortest possible time is crucial. The EVMS and algorithms are presented in this study to find the optimal vehicle sequence that gives EVs the highest priority. The proposed solution uses cutting-edge technologies (IoT Sensors, GPS, 5G, and Cloud computing) to collect and pass EVs’ information to the Roadside Units (RSU). The proposed solution was evaluated through mathematical modeling. The results show that the EVMS can reduce the travel times of EVs significantly without causing any performance degradation of normal vehicles.

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Section: Literature Reviewmentioning

confidence: 99%

Autonomous Traffic System for Emergency Vehicles

2022

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“…A longer green light will be given for lanes with greater numbers of vehicles or queue lengths. Studies [45][46][47][48][49][50][51][52] focus on scheduling traffic lights for emergency situations. Basically, with this motivation, traffic lights detect approaching emergency vehicles and assign a green light to the lane that the approaching emergency vehicle is in.…”

Section: Figure 1 Smart Traffic Light Classificationmentioning

confidence: 99%

“…In [52] uses RFID to control traffic signals by measuring vehicle density. RFID-based technology that can clear traffic congestion during crowded hours and provide emergency vehicles with protected lanes is proposed.…”

Section: Smart Traffic Lights For Emergency Vehiclesmentioning

confidence: 99%

Recent development of smart traffic lights

Yusuf

Arifin

Zulkifli

2021

IJ-AI

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<span id="docs-internal-guid-288f4dcc-7fff-1e8c-0350-5032593b6e4f"><span>Increased traffic flow causes congestion, especially in large cities. Even though congestion is not unusual, traffic jams still result in very high economic and social losses. Several factors cause congestion, one of which is traffic lights. Therefore, a mechanism is needed so that traffic lights can intelligently and adaptively manage signal time allocation according to traffic flow conditions. A traffic light with this type of mechanism is known as a smart traffic light. Smart traffic light cycle settings can be grouped based on the traffic density, scenarios for emergency vehicles, and the interests of pedestrians. This paper analyzes the methods and technologies used in the development of smart traffic light technology from the perspective of these three situations as well as the development of smart traffic light technology in the future.</span></span>

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“…RFID-based smart traffic control framework for emergency vehicles was introduced in [8]. In the study, RFID (radio frequency identification) installed in the emergency vehicle triggers the traffic light at a specific lane to be green as the vehicle arrives nearer to the junction.…”

Section: Related Literaturesmentioning

confidence: 99%

Sena Traffic Controller System Using Moru D Firmware

Seong

Choon

Ambar

et al. 2021

Lecture Notes in Electrical Engineering

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This chapter explains the structure of Sena Traffic Controller System from Sena Traffic System Sdn. Bhd. located in Malaysia. The structure of Sena Traffic Controller System is consists of i-Traffic software and Moru D driver that communicates with each other in real-time. Moru D is a driver based on Korea traffic system that communicates between the software for traffic algorithm and hardware for driver and pedestrian to cross the junction. In order to be utilized for Malaysia traffic system, there are unnecessary features in Moru D that requires removal. The methods to access and update Moru D firmware to be compatible for Malaysia traffic system are described in detail. Preliminary test to verify the functionality of connections between Moru D debugger with a Traffic Controller is demonstrated. At the end of this chapter, the design of the connections between Moru D firmware with other peripheral hardware is presented.

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RFID-Based Smart Traffic Control Framework for Emergency Vehicles

Cited by 33 publications

References 10 publications

Autonomous Traffic System for Emergency Vehicles

Autonomous Traffic System for Emergency Vehicles

Recent development of smart traffic lights

Sena Traffic Controller System Using Moru D Firmware

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