Automatic Traffic Signals in Smart Cities for Speedy Clearance of Emergency Vehicles

2018 ◽  
Author(s):  
A.S. Dhatrak ◽  
S.T. Gandhe
Keyword(s):  
Smart Cities ◽  
Traffic Signals ◽  
Emergency Vehicles

scholarly journals Intelligent Traffic Management System Based on the Internet of Vehicles (IoV)

2021 ◽  
Vol 2021 ◽  
pp. 1-23
Author(s):  
Samir A. Elsagheer Mohamed ◽  
Khaled A. AlShalfan
Keyword(s):  
Traffic Flow ◽  
Traffic Management ◽  
Management System ◽  
New Technologies ◽  
Smart Cities ◽  
Traffic Signals ◽  
Traffic Signal ◽  
Internet Of Vehicles ◽  
Emergency Vehicles ◽  
Traffic Management System

The present era is marked by rapid improvement and advances in technology. One of the most essential areas that demand improvement is the traffic signal, as it constitutes the core of the traffic system. This demand becomes stringent with the development of Smart Cities. Unfortunately, road traffic is currently controlled by very old traffic signals (tri-color signals) regardless of the relentless effort devoted to developing and improving the traffic flow. These traditional traffic signals have many problems including inefficient time management in road intersections; they are not immune to some environmental conditions, like rain; and they have no means of giving priority to emergency vehicles. New technologies like Vehicular Ad-hoc Networks (VANET) and Internet of Vehicles (IoV) enable vehicles to communicate with those nearby and with a dedicated infrastructure wirelessly. In this paper, we propose a new traffic management system based on the existing VANET and IoV that is suitable for future traffic systems and Smart Cities. In this paper, we present the architecture of our proposed Intelligent Traffic Management System (ITMS) and Smart Traffic Signal (STS) controller. We present local traffic management of an intersection based on the demands of future Smart Cities for fairness, reducing commute time, providing reasonable traffic flow, reducing traffic congestion, and giving priority to emergency vehicles. Simulation results showed that the proposed system outperforms the traditional management system and could be a candidate for the traffic management system in future Smart Cities. Our proposed adaptive algorithm not only significantly reduces the average waiting time (delay) but also increases the number of serviced vehicles. Besides, we present the implemented hardware prototype for STS.

scholarly journals Development of a Priority based System for Emergency Vehicles to Reduce Accidents in VANETs

2020 ◽  
Vol 9 (2) ◽  
pp. 483-486
Keyword(s):  
Waiting Time ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Human Life ◽  
Traffic Signals ◽  
Emergency Vehicles ◽  
Movement System ◽  
Hoc Networks ◽  
The Cost ◽  
Vehicle Movement

Due to tremendous increase of vehicles in number leads to excessive congestion of vehicles at intersection of roads. It causing inconvenience to emergency vehicles like Ambulance and Fire brigade etc, ultimately which is the cost of human life To avoid this, Emergency Vehicles will have to give high priority to overcome from the congestion. Vehicular Ad-Hoc Networks (VANETs) is a network which is used to create a temporary communication among the vehicles. In this paper, priority based vehicle movement system is proposed to give high priority to emergency vehicles and establishing communication among the vehicles through VANET. Due to this high priority, there is no necessity to wait for the emergency vehicles at the traffic signals to get the green signal while communicating with traffic controller. In this paper, SUMO simulator is used for experimental analysis. The result indicates that the proposed methodology reduces the waiting time when compared to the existing system.

Impact of Emergency Vehicle Preemption on Signalized Corridor Operation: An Evaluation

2000 ◽  
Vol 1727 (1) ◽  
pp. 1-11 ◽  
Author(s):  
Eric J. Nelson ◽  
Darcy Bullock
Keyword(s):  
Travel Time ◽  
Traffic Signals ◽  
Emergency Vehicle ◽  
Minimal Effect ◽  
East Side ◽  
Time Intervals ◽  
Emergency Vehicles ◽  
Arterial Traffic ◽  
The Impact

A case study that examines the impact of emergency vehicle preemption on closely spaced arterial traffic signals is reported. The study was conducted on State Route (SR) 26, a principal arterial and main thoroughfare that connects Interstate 65 with US-52 on the east side of Lafayette, Indiana. Four coordinated intersections along SR-26 were examined by using seven preemption paths and three different transition algorithms (smooth, add, and dwell). The number of preemption calls in the simulation period varied from one to three for equal simulation periods. The findings generally show that a single preemption call had a minimal effect on the overall travel time and delay through the network. The results also indicate that the smooth transitioning algorithm performed the best with most scenarios and paths for both the arterial and the side streets. When multiple emergency vehicles preempt at closely spaced time intervals, the impact of preemption was more severe. For the network studied, the most severe impact on arterial travel time observed was an increase in the average arterial travel time on the order of 20 to 30 s. The study focused on emergency vehicle preemption, but the general procedures described could also be applied to railroad preemption or transit priority.

scholarly journals Automatic Path Maker for Emergency Vehicles

2019 ◽  
Vol 9 (1S6) ◽  
pp. 168-174
Keyword(s):  
Traffic Signals ◽  
Traffic Signal ◽  
Traffic Lights ◽  
The Road ◽  
The People ◽  
Emergency Vehicles ◽  
Adequate Condition

Automatic path maker for emergency vehicles” is the most convenient solution for the people. It is adequate condition into the traffic lights systems, as the emergency vehicles as route concerned in the higher priorities among the junctions as the road. At emergency vehicles as included into ambulances, rescue vehicles, fire brigades, polices, & VIP persons. Which is many problem for then the problems, in while it is depended at the injury at the patients, personal accidents, fire fighting’s, robbery, & several vital situation. And can compulsory as implementing at techniques as to solve into situation. The proposed system is for interrupt the running traffic signal when ambulance or VIP is near traffic signals lane. This RFID readed will send these messages to the traffic signal junction to release the news.

scholarly journals Advanced Traffic Signal Control System for Emergency Vehicles

2019 ◽  
Vol 8 (3) ◽  
pp. 1242-1246
Keyword(s):  
Control System ◽  
System Architecture ◽  
Traffic Signals ◽  
Signal Control ◽  
Traffic Signal Control ◽  
The Novel ◽  
Novel Approach ◽  
Emergency Vehicles ◽  
Pass Through ◽  
Smart Traffic

This paper introduces the novel approach to handle the situation for emergency vehicles like ambulance and fire trucks to avoid traffic to reach the destination in time in order to save the lives. This system architecture is based on Internet-ofThings (IoT) using cloud at its center. The proposed system uses real-time GPS to track the location of the vehicle and update the same to cloud , smart traffic signals which are in present in route of the vehicle are notified the same. system maintains the details on the emergency vehicles to pass through the traffic with no or minimum waiting time, thus reducing the number of deaths during the travel to hospital and conditions to reduce the loss of property in case of fire emergency

scholarly journals Coalition Game for Emergency Vehicles Re-Routing in Smart Cities

2018 ◽  
Author(s):  
Hayder M. Amer ◽  
Hayder A. A. Al-Kashoash ◽  
Andrew Kemp ◽  
Lyudmila Mihaylova ◽  
Martin Mayfield
Keyword(s):  
Smart Cities ◽  
Coalition Game ◽  
Emergency Vehicles

An Efficient Cloud-Based Traffic Signal Manipulation Algorithm for Path Clearance

2020 ◽  
Vol 11 (2) ◽  
pp. 32-44
Author(s):  
Aamir Wali ◽  
Khansa Tanveer ◽  
Samreen Fatima ◽  
Ayeza Tanveer ◽  
Sara Iftikhar
Keyword(s):  
Cloud Computing ◽  
Developing Countries ◽  
Real Time ◽  
Shortest Path ◽  
Traffic Management ◽  
Traffic Signals ◽  
Grid System ◽  
Traffic Light ◽  
Traffic Conditions ◽  
Emergency Vehicles

Beside many challenges that urban cities have to face, one of them is increasing traffic. Unfortunately, in developing countries like, for example, Pakistan, the traffic management infrastructure does not scale accordingly. This leads to two types of problems: congestion and long queues at traffic signals. This makes it difficult for emergency vehicles (EV) such as ambulances to reach their destination on time. Therefore, in this article, the authors have developed an intelligent path clearance system for emergency vehicles. The particular focus is on long queues at traffic signals. Given the GPS coordinates of an EV, a destination, a map, and the traffic light grid system, our system provides a signal free corridor to the priority vehicle by automatically manipulating traffic signals that fall in its path using cloud computing. The idea is to clear the path of the vehicle. The proposed system also makes decision based on the time of the day and current traffic conditions in real time. In case of multiple options, it also calculates the shortest path to the destination.

Dynamic Routing of Emergency Vehicles with Traffic Management System and Implementation on CupCarbon for Smart Cities

2021 ◽  
Vol 9 (11) ◽  
pp. 1407-1412
Keyword(s):  
Traffic Congestion ◽  
Traffic Management ◽  
Management System ◽  
Smart Cities ◽  
Maximum Speed ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Traffic Management System ◽  
On The Road

The traffic congestion is one of the major problems in crowded cities, which causes people to spend hours on the road. In traffic congestion situations, finding alternate routes for emergency vehicles, which provides shortest travel time to nearby hospital is critically life-saving issue. In this paper, we propose a traffic management system and an algorithm for routing of an emergency vehicle. The algorithm uses distance between source and destination, maximum vehicle count, maximum speed, average speed, traffic light conditions on the roads, which are assumed to support vehicle-to-infrastructure (V2I) communication in 5G IoT network. Simulations are performed on CupCarbon IoT simulator platform for various test scenarios. The performance of the proposed emergency vehicle routing algorithm is compared against well known Link State algorithm. And, the results demonstrate the effectiveness of the proposed method.

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