scholarly journals A Genetic Algorithm Approach for Expedited Crossing of Emergency Vehicles in Connected and Autonomous Intersection Traffic

2017 ◽  
Vol 2017 ◽  
pp. 1-14 ◽  
Author(s):  
Qiang Lu ◽  
Kyoung-Dae Kim
Keyword(s):  
Genetic Algorithm ◽  
Emergency Vehicle ◽  
Travel Times ◽  
Traffic Light ◽  
Main Challenge ◽  
Emergency Vehicles ◽  
Intersection Area ◽  
Traffic Volumes ◽  
Genetic Algorithm Approach ◽  
Optimal Ordering

This paper proposes an intersection control algorithm which aims to determine an efficient vehicle-passing sequence that allows the emergency vehicle to cross an intersection as soon as possible while the travel times of other vehicles are minimally affected. When there are no emergency vehicles within the intersection area, the vehicles are controlled by the DICA that we proposed in our earlier work. When there are emergency vehicles entering the communication range, we prioritize emergency vehicles through optimal ordering of vehicles. Since the number of possible vehicle-passing sequences increases rapidly with the number of vehicles, finding an efficient sequence of vehicles in a short time is the main challenge of the study. A genetic algorithm is proposed to solve the optimization problem which finds the optimal vehicle sequence that gives the emergency vehicles the highest priority. The efficiency of the proposed approach for expedited crossing of emergency vehicles is validated through comparisons with DICA and a reactive traffic light algorithm through extensive simulations. The results show that the proposed genetic algorithm is able to decrease the travel times of emergency vehicles significantly in light and medium traffic volumes without causing any noticeable performance degradation of normal 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.

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.

Smart Traffic Light Systems

2018 ◽  
Vol 6 (7) ◽  
pp. 243
Author(s):  
A. Vinidha Roc ◽  
P. R. Banuprakash ◽  
G. Paul Asir Nixon Raj ◽  
L. Prasad
Keyword(s):  
Traffic Signals ◽  
The Other ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Smart Traffic

Traffic signals are the most efficient way of controlling traffic in a busy junction. But, we can see that these signals fail to control the traffic effectively when a particular lane has got more traffic than the other lanes. The idea behind this project is to implement a system which would easily control the traffic and helps for the emergency vehicles to reach at their destination easily and quickly. In our project, a system of cameras are used to regulate traffic. They obtain information in their respective places and coordinate with other cameras in the system to change traffic signals and suggest green signal for that route to avoid maximum traffic. Emergency vehicle can be detected with the help of sound sensors placed in the junction, which coordinates with the microcontroller and makes the particular Lane free.

scholarly journals IoT Based Automated Traffic Light Control System For Emergency Vehicles Using LoRa

2019 ◽  
Author(s):  
Divij N ◽  
Divya K ◽  
Anuradha Badage
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Accurate Solution ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Traffic Lane ◽  
Emergency Vehicles ◽  
Scheduled Traffic ◽  
Cost Efficient

There is a serious issue of Emergency Vehicles being stuck at intersections due to traffic congestion or scheduled traffic signal. This may result in delay in motion or the Emergency Vehicle may remain in statutory position. Otherwise, if the emergency vehicle ever tries to override the signal, it may result in accident or traffic congestion. To overcome this problem automated traffic control system is proposed. The system is designed to find a cost efficient and accurate solution to save lives. In the system, siren of the approaching emergency vehicle is priorly sensed by using smart objects and the traffic lane in which the emergency vehicle isapproaching is made free by halting the traffic in other lanes of the intersection.

scholarly journals Density based auto traffic light control system with GSM based remote override for enugu metropolis

2020 ◽  
Vol 18 (2) ◽  
Author(s):  
Cajethan Nwosu ◽  
Akpevwe Isiorhovoja ◽  
Cosmas Ogbuka ◽  
Boniface Anyaka
Keyword(s):  
Control System ◽  
Green Light ◽  
Emergency Vehicle ◽  
Light Control ◽  
Traffic Light ◽  
Right Of Way ◽  
Duration Time ◽  
Traffic Light Control ◽  
Emergency Vehicles ◽  
The Cross

In this paper, a density based auto traffic light control system with GSM based remote override is designed and implemented to in particular, eliminate the usual conflicting authority between the green light for the motorists/pedestrians and emergency vehicles and in general reduce very long queues of vehicular traffics at the cross-road junctions in Enugu Metropolis. Three PIC 16F877A microcontrollers, one each specifically dedicated for intelligent allocation of right of way based on vehicle densities sensing, allotting of due passage duration time, and overriding feature for emergency cases, is proposed and implemented. The traffic override is either performed by the pressure switches for density detections or the GSM module for emergency cases at any given time. The GSM remote overriding authority may be vested only on the emergency vehicle operators to override the set timing of the traffic light control system in the event of emergencies to eliminate traffic logjams and possible fatalities.

scholarly journals Density-Based Traffic Control System for Emergency Vehicles using Artificial Intelligence

2020 ◽  
Vol 9 (5) ◽  
pp. 1217-1221
Keyword(s):  
Artificial Intelligence ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Human Life ◽  
Traffic Signals ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
Emergency Vehicles ◽  
Bearing Angle ◽  
Control Traffic

Fire brigade officers, health care personnel, police are often delayed due to traffic congestion, across major cities in India. Considering the predicament, Artificial Intelligence has the potential to enable us to solve such problems by adopting a number of unique perspectives and approaches, especially in this domain. The solution developed by us enables an emergency vehicle driver to select the route to reach the destination as quickly as possible. As cameras are deployed at most of the traffic signals today, especially in cities where traffic congestion is a major pain point, Video Analytics can be used for calculating vehicle count, which will be streamed and updated continually. We create effective algorithms to alter the time of the traffic signals based on this real-time vehicle count, the distance of the vehicle from the signal, the bearing angle made by the vehicle with the signal and also by making sure that the traffic congestion doesn’t increase exponentially and multiple emergency vehicles do not put the system in a deadlock. The loss of life due to accidents and the delay in getting the required treatment must be avoided. The designed system will automatically control traffic light intervals based on vehicle density. This solution will allow an emergency vehicle to reach its destination during emergencies, plying on the best possible route, in the most decongested traffic conditions, which will be facilitated by specifically developed algorithms. To save human life from accidents and unnecessary delays due to traffic congestion, is the main aim of our system.

scholarly journals Modelling green waves for emergency vehicles using connected traffic data

10.29007/sj1m ◽  
2019 ◽  
Author(s):  
Laura Bieker-Walz ◽  
Michael Behrisch
Keyword(s):  
Negative Impact ◽  
Important Task ◽  
Optimal Timing ◽  
Emergency Vehicle ◽  
Traffic Data ◽  
Vehicular Communication ◽  
Traffic Light ◽  
Vehicle Traffic ◽  
Traffic Lights ◽  
Emergency Vehicles

For emergency vehicle drivers it is an important task to reach the incident location as fast as possible. Therefore a self-organizing green wave could help emergency vehicles to accomplish this goal. This study presents an approach how emergency vehicle can be prioritized at traffic lights and simulates the possible benefit for the emergency vehicle. Traffic data from vehicular communication can be used to find the optimal timing for the traffic light to modify the existing traffic phases and reduce the possible negative impact on other traffic participants.

scholarly journals Modeling and Analyzing of Emergency Vehicle Preemption in a Four-phase Intersection via TPN

2020 ◽  
pp. 56-62
Author(s):  
Yandong Pei ◽  
◽  
Bo Huang ◽  
Chunxia Zhao ◽  
Gongxuan Zhang ◽  
...  
Keyword(s):  
Petri Nets ◽  
Public Service ◽  
Traffic Model ◽  
Emergency Vehicle ◽  
Timed Petri Nets ◽  
Reachability Graph ◽  
Traffic Light ◽  
Light System ◽  
Emergency Vehicles ◽  
Pass Through

Emergency vehicles (EVs) play an important role in public service. And the EV’s timeliness and safety are very important. Focusing on the switch of the phases in a four-phase intersection, this paper presents a novel phase-changing model based on timed Petri nets (TPNs) for the traffic light system and proposes a method that uses TPNs to model the preemption of emergency vehicles in such an intersection. Our model ignores many actual details. By controlling the phases, our method ensures that the EVs can pass through the intersection with no or less delay, and the safety of the traffic model on emergency scene can be ensured. To our knowledge, we are the first to employ TPNs to model EV system on a four-phase intersection. The liveness and reversibility of such a TPN model are also verified through the reachability graph of the TPN.

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