Fast Emergency Vehicle Preemption Systems

2000 ◽  
Vol 1739 (1) ◽  
pp. 44-50 ◽  
Author(s):  
Shuetsu Shibuya ◽  
Toshihiro Yoshida ◽  
Zuiki Yamashiro ◽  
Makoto Miyawaki
Keyword(s):  
Traffic Control ◽  
Intelligent Transportation Systems ◽  
The Elderly ◽  
Transportation Systems ◽  
Route Guidance ◽  
Emergency Vehicle ◽  
Effective Manner ◽  
Emergency Vehicles ◽  
Traffic Control System ◽  
National Police

In an automotive society that increasingly depends on cars, the National Police Agency is tackling the problem of operation support of emergency vehicles for incidents, accidents, and other emergency cases in order to manage traffic appropriately. This support of emergency vehicle operations is considered to be one of nine developing fields in Japan’s intelligent transportation systems. Recently, to deal with an increasing crime rate, a growing number of accidents, and problems with the elderly, more and more emergency vehicles are being dispatched. Against this background, it is indispensable for the police administration, as the manager of traffic and as an important instrument for maintaining peace and order, to help emergency vehicles in urgent situations reach the scene at the earliest possible moment and to prevent accidents during operations. Fast emergency preemption systems have a two-way communication function through the use of an infrared beacon, which is the key infrastructure of a traffic control system. Such a system supports the operation of emergency vehicles in a safe and effective manner by using route guidance and priority signal control; it also warns civilian vehicles about approaching emergency vehicles.

scholarly journals An Optimised Traffic Control Scheme with Preference to Emergency Vehicles Leveraging RFID

2021 ◽  
pp. 74-89
Author(s):  
Kenneth Akpado ◽  
Samuel Usoro ◽  
Nneka Ezeani
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Research Work ◽  
Control Points ◽  
Emergency Vehicle ◽  
Test Bed ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Traffic Control System ◽  
New System

Emergency Vehicles (EV) such as ambulances, fire fighting vehicles, Road safety vehicles and other emergency vehicles encounter delays on their missions at traffic light control points due to traffic jams. The direct consequence of these delays results in unwarranted loss of lives and properties.  This research work proposes and implements an improved traffic control system with preference to emergency vehicles leveraging RFID technology and a novel Dynamic Traffic Sequence Algorithm (DTSA). Atmega 328 was used to actualize the novel DTSA, control the RFID and the entire traffic control system. The distance of RFID signal transmitted by the emergency vehicle was determined by physically measuring the distance of clearer signal obtained at various distances from the test bed. MATLAB was used to plot the response time of the RFID, thereby helping in the choice of RFID used. It was observed at 100 meters distance between the RFID transmitter in the emergency vehicle (EV) and the traffic light system, a clearer signal was obtained. Therefore at 100 meters the emergency vehicle will be detected and the traffic system will reset its normal routine to give right of way to the particular lane that the emergency vehicle is detected. Comparing the old and the new system it was observed that in the new system the EV will be 12minutes faster than the EV in the old system. From the result obtained, the RFID best suited for this application is active RFID. The results obtained proved that the system will effectively mitigate and almost completely eradicate the delay encountered by emergency vehicles at traffic control points.  The system will be deployed in any many cities in Nigeria that have traffic control systems installed.

scholarly journals Density based Traffic Control System Embedded with Patient Weightage Method

2019 ◽  
Vol 8 (10S) ◽  
pp. 377-381
Keyword(s):  
Control Systems ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Detection System ◽  
Raspberry Pi ◽  
Emergency Vehicle ◽  
Dynamic Flow ◽  
Smooth Flow ◽  
Emergency Vehicles ◽  
Traffic Control System

Every now and then traffic congestion has always been a hindrance in everyone’s normal life routine. This traffic congestion hindrance is very much problematic in case of high priority emergency vehicles namely ambulances, VIP vehicles, fire engines etc. So, traffic control has to be made proficient to provide smooth flow of vehicles. However, efficient synchronization of traffic at multiple junctions is complex. Conventional control systems do not handle the dynamic flow of traffic which results in chaos. In this project, implementation of an emergency vehicle detection system is done. The main objective is to provide a traffic-free route to the vehicles in order to save life. In this paper two cases are considered, in the initial case, the lane density at the junction will be calculated using ultrasonic sensors by Raspberry pi (Rpi) and the lane with minimal density route will be directed to the emergency vehicle NodeMcu in this case. Considering the assumption that hospital is present near to every lane. And in the second case, the conflict arises when two emergency vehicles are encountered at the same time at a junction, so this conflict is resolved in thispaper.

scholarly journals Review of traffic control techniques for emergency vehicles

2019 ◽  
Vol 13 (3) ◽  
pp. 1243
Author(s):  
Wan Mohd Hafiz bin Wan Hussin ◽  
Marshima Mohd Rosli ◽  
Rosmawati Nordin
Keyword(s):  
Control System ◽  
Radio Frequency Identification ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Road Traffic ◽  
Control Technique ◽  
Emergency Vehicle ◽  
Control Techniques ◽  
Emergency Vehicles ◽  
Traffic Control System

<span>Traffic control system play an important role to manage traffic congestion on the road especially during peak hours and peak seasons. One of the main challenges is to control the traffic when there are emergency cases at traffic light intersection especially peak hours. This could affect the route for emergency vehicles such as ambulance, fire brigade and police car to reach their destination. Due to the increase of traffic congestion during peak hours and peak seasons in Malaysia, there is a need for further evaluation of traffic control techniques. This paper reviewed and consolidated information on the different types of the existing traffic control system for road traffic management such as Radio Frequency Identification (RFID), wireless sensor network and image processing. This paper analysed and compared on the design, benefits and limitations of each technique. Through the reviews, this paper recommends the best traffic control technique for emergency vehicle that offers low price, low maintenance and can be used in various areas of applications.</span>

scholarly journals LPWAN-based hybrid backhaul communication for intelligent transportation systems: architecture and performance evaluation

2021 ◽  
Vol 2021 (1) ◽  
Author(s):  
Taghi Shahgholi ◽  
Amir Sheikhahmadi ◽  
Keyhan Khamforoosh ◽  
Sadoon Azizi
Keyword(s):  
Low Power ◽  
Intelligent Transportation Systems ◽  
Intelligent Transportation System ◽  
Road Traffic ◽  
Intelligent Transportation ◽  
Traffic Monitoring ◽  
Transportation Systems ◽  
Area Network ◽  
Emergency Vehicle ◽  
Wide Area Network

AbstractIncreased number of the vehicles on the streets around the world has led to several problems including traffic congestion, emissions, and huge fuel consumption in many regions. With advances in wireless and traffic technologies, the Intelligent Transportation System (ITS) has been introduced as a viable solution for solving these problems by implementing more efficient use of the current infrastructures. In this paper, the possibility of using cellular-based Low-Power Wide-Area Network (LPWAN) communications, LTE-M and NB-IoT, for ITS applications has been investigated. LTE-M and NB-IoT are designed to provide long range, low power and low cost communication infrastructures and can be a promising option which has the potential to be employed immediately in real systems. In this paper, we have proposed an architecture to employ the LPWAN as a backhaul infrastructure for ITS and to understand the feasibility of the proposed model, two applications with low and high delay requirements have been examined: road traffic monitoring and emergency vehicle management. Then, the performance of using LTE-M and NB-IoT for providing backhaul communication infrastructure has been evaluated in a realistic simulation environment and compared for these two scenarios in terms of end-to-end latency per user. Simulation of Urban MObility has been used for realistic traffic generation and a Python-based program has been developed for evaluation of the communication system. The simulation results demonstrate the feasibility of using LPWAN for ITS backhaul infrastructure mostly in favor of the LTE-M over NB-IoT.

Research on Dynamic Route Guidance for an Emergency Vehicle Considering the Intersection Delay

2014 ◽  
Vol 641-642 ◽  
pp. 848-852 ◽  
Author(s):  
Shan Shan Chen ◽  
Xin Zhao ◽  
Yu Sheng
Keyword(s):  
Route Guidance ◽  
Emergency Vehicle ◽  
Dijkstra Algorithm ◽  
Vehicle Guidance ◽  
Vehicle Operation ◽  
Emergency Vehicles ◽  
Dynamic Route

For the purpose of assisting emergency vehicles to move, the key is to put forward the application of Vehicle Operation Agent and Road Agent in sections to complete the dynamic route guidance process for an emergency vehicle combined with improved-Dijkstra algorithm. At last, by using Starlogo software and Matlab together, the paper completes the simulation of the emergency vehicle guidance process, to prove the effectiveness of the method.

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