Automatic Traffic Light Control for Emergency Vehicle

Traffic congestion has become a major problem in the cities where the population and the number of vehicles are continuously increasing. To ensure the safety of people, traffic light systems are incorporated at all necessary intersections of roads. Most of the traffic control systems used are now working based on fixed time for vehicular movement. So, a smart traffic control system is built which changes the waiting time of the vehicles based on situations, conditions, and priorities. Smart traffic system considers the vehicular density and special conditions such as the presence of an emergency vehicle at any of the roads and increases the waiting or clearance time accordingly. The system works such that, more the density of traffic at any side of the road, the longer would be the clearance time of that road with an increase in the duration of green light so as to allow more vehicles to pass through and hence reduce the traffic density. This avoids traffic congestion, wastage of time, and makes the system more efficient. A priority is given to the passage of emergency vehicles to prevent delays due to traffic congestion. So, the system is built such that during the presence of an emergency vehicle, the traffic light remains green till the emergency vehicle passes the signal and then returns to normal working. The system also considers the prevention of accidents and safety of the pedestrians during the night, when the traffic signals have only Amber lights, by use of sensors to detect any presence. The traffic lights along with alarms are used to indicate such presence. The system is built using Proteus software as a simulation tool for single-way and four ways traffic signals. Thus, the proposed work aims for a better and efficient traffic control system.

This research is focused on laboratory based analysis on hardware module of traffic light with Programmable Logic Controller (PLC) software. There are four ways in hardware model for detection of vehicle; each way has one sensor button, three Light Emitted Diodes (LEDs) with individual colors say red, yellow and green represents the traffic light in each lane. Sensor and LEDs are connected to Mitsubishi Programmable Logic Controller (PLC) and each part on hardware being controlled by PLC. Ladder diagrams are programmed by software to monitor the system and helps to improve public transportation services, thereby improving traffic guidance and traffic light control. The system was developed by setting the appropriate time for the traffic lights to respond accordingly. The controller checks the priority and provides an exit signal to the traffic light post to turn the red, yellow or green lights on or off. Finally, the signal lights were successfully controlled by the PLC. Hence the system used in traffic control systems contain low power consumption, low engineering cost and increased safety.

Accident rescue is an important topic for life saving and emergent handling. One issue of accident rescue is how to shorten the times for emergency vehicles (such as ambulances, fire engines, and police cars) to arrive at accident scenes so that the emergent events can be properly processed. For example, an ambulance should arrive at a traffic accident scene as fast as it can so that the wounded can be taken care of as soon as possible. However, in metropolitan areas traffic jams may make emergency vehicles difficult to arrive at the accident scenes. This is because cars on the roads may not have enough space to move themselves to empty a lane for the pass-through of emergency vehicles. In this condition, the valuable time for rescuing injured people or extinguishing fire will be wasted due to undesired traffic jams, which may result in unrecoverable tragedies. To solve this problem, in this thesis we propose a traffic control mechanism based on the IEEE 802.11p/1609 radio technology to control the traffic condition and traffic lights to shorten the time required by emergency vehicles to arrive at accident scenes. In the proposed mechanism, a traffic control center is deployed to monitor the traffic conditions on the roads and provide the traffic information for emergency vehicles. The traffic control center can dynamically adjust the traffic lights on the roads to help emergency vehicles arrive at accident scenes more quickly. Our simulation results show that the proposed mechanism can significantly reduce 30% to 50% arrival times required by emergency vehicles to arrive at accident scenes in our evaluated cases.

This project presents the Design of Emergency RFID Traffic Light Systems using the Ultra High-Frequency RFID reader as a detector to control the traffic light system. This project focused on emergency vehicles such as ambulances, firefighters, and police to get on smooth journey at a congested area with traffic light. The proposed way of detection is with RFID tags located at the emergency vehicles to generate emergency traffic lights system. The project established communication between traffic signals and emergency vehicles so that traffic signals can respond to the arrival of these emergency vehicles and respond accordingly. The findings shows that the emergency vehicles recommended speed of around 50km/h while approaching the traffic light. In addition, the distance during approaching the RFID reader does not exceed 7 meters to allow the RFID tag of emergency vehicles can be read clearly. When traffic signals change allowing emergency vehicles to move quickly past traffic with less hassle.

The current traffic light system uses a lot of fixed time signals. Fixed time signals cause traffic jams in one or several lanes due to traffic congestion. On the other hand, emergency vehicles cannot get their rights to the maximum due to the density of these vehicles. This study aims to build an intelligent traffic light with a vehicle density sensor device and a smartphone application to increase the accuracy of light timing and parse traffic density. Furthermore, in an emergency, they can still overcome and accelerate the speed of passing vehicles by manually intervening with the traffic light through a smartphone application connected wirelessly to the traffic light. The intelligent traffic light is made with Arduino Bluetooth Control (ABC), Bluetooth HC-05, Arduino Mega 2560, and infrared (IR) sensor E18-D80NK. The results show that the green light setting is based on the input from the IR sensor both near sensor (NS) and far sensor (FS) work well. When NS detects a vehicle with a green light, it increases Y seconds from the default X seconds. If FS detects a vehicle with a green light, it increases by Z seconds. Settings with the ABC application can randomly turn on the green light in four lanes according to the will of the smartphone operator.

To utilize the utmost capacities of junctions with traffic signals, having preemptive and predictive capabilities with integrated traffic sensors are important elements for an intelligent traffic signal control system. Recently, an efficient and preemptive traffic signal control strategy known as iterative tuning (IT) has been developed by exploring repetitive characteristic of traffic demand on working days, whereas on weekends or days with special events, severe nonrepetitive disturbances limit the performance of IT strategy practically. This paper proposes a preemptive and predictive methodology, i.e., IT strategy with reactive compensation (ITRC), to reduce network delay time and eliminate unnecessary stops for vehicles. With anticipation of repetitive traffic flows based on historical data, nominal traffic signals are tuned by IT controller over repetitions. The reactive compensation, which is junction-based model predictive control strategy (JMPC), makes adjustments on nominal traffic signals and compensates the nonrepetitive elements. Rigorous analysis provides sufficient condition for guaranteeing the convergence of ITRC. Case study of Commonwealth Avenue in Singapore with heavy traffic from morning peak to evening peak hours is presented, and the simulation results show the effectiveness, robustness, and convergence of ITRC over pure IT strategy and pure JMPC strategy for scenarios with various traffic variations, respectively.

Traffic congestion in cities includes the complex and dangerous passing of emergency vehicles, which is a time-consuming task. This problem requires the optimisation of traffic lights in favour of emergency vehicles. To accomplish this, this paper discusses an optimized traffic light system using machine learning that prioritizes the passing of emergency vehicles into city areas. It integrates SVM and Random Forest models by dynamically adjusting traffic light signals based on traffic density to accelerate emergency vehicles. The results reveal that the proposed system would lead to improved emergency response times while enhancing overall transportation efficiency with reduced congestion of traffic. Additionally, the study further went on to establish the effectiveness of the proposed model as a solution in traffic flow optimization and management. Results show that the performance of the proposed model is effective for the purpose of traffic light optimization. The SVM+SAFS and RF+SAFS methods figured prominently as high-performance methods with accuracy rates of 94.89% and 95.02%, respectively. Furthermore, in the case of the RF+SAFS method used for traffic light optimization, it was possible to reduce the average waiting time by 20%, increase the capacity of transit by 15%, and decrease fuel consumption by 10%. Overall, combining the outputs in the model led to the following performance, an 18% decrease in total travel time.

The congestion of the urban traffic is becoming one of critical issues with increasing population and automobiles in cities. Traffic jams not only cause extra delay and stress for the drivers, but also increase fuel consumption, add transportation cost, and increase carbon dioxide air pollution. The traffic controller is one of critical factors affecting the traffic flow. The conventional traffic patterns are nonlinear and complex. As a result, the fixed traffic light controller is not optimized to reduce the traffic jam. Moreover, it does not improve the response time for ambulances, fire trucks, police cars and other emergency vehicles. This paper is written with the endeavor to provide the readers an idea of the research that has been carried out in the intelligent traffic light field and the microcontroller based traffic light control system. The historical review of the technology and the recent development of the intelligent traffic light control system are stated in this paper. In addition, the future studies of the related work are also presented.

In this project, the ESP8266 microcontroller and LEDs are utilized to create a system that effectively controls traffic flow during emergency situations. Two modules, an emergency vehicle module, and a traffic module, communicate with a server. The server receives signals from the emergency vehicle and triggers the corresponding traffic lights to turn green and yellow in the direction of the vehicle. Simultaneously, the traffic lights in other directions turn red and yellow, providing a clear path for the emergency vehicle. To enhance safety and awareness, a mobile application is developed. Users between the emergency vehicle and the traffic signal can install the app, which alerts them of the approaching vehicle. Real-time updates, sound alerts, and vibrations are provided to ensure the public is aware and can take appropriate actions. An additional app is designed for the emergency vehicle driver, allowing manual control over traffic signals when they are positioned too closely together. This ensures the vehicle can navigate intersections without hindrance. By combining the server, mobile apps, and ESP8266 microcontroller, this project offers a comprehensive solution to improve emergency vehicle navigation in urban areas. It optimizes traffic flow, enhances public safety, and provides additional control for emergency vehicle drivers. The goal is to provide an efficient and accessible solution that can be implemented in various urban settings.

Traffic lights at crossroads help regulate the flow of vehicles so they can run smoothly and avoid congestion. One of the causes of traffic congestion is a traffic control light system that is not optimal because it still uses a fixed timer system, so the lights' duration is less efficient in its application. When the green light is on, the streets are deserted. But there is a traffic jam on another road. Therefore the concept of traffic light timing needs to be developed to get efficient timing. This study aims to create a traffic light control system that uses a PIR (Passive Infrared) motion sensor and an ultrasonic sensor based on the Arduino Mega2560 microcontroller based on the congestion level. The method used in this traffic control prototype is an experimental method of reading vehicle objects mounted with PIR sensors and ultrasonic sensors. This system can detect the movement of vehicles approaching a traffic light, measure the distance between the car and the traffic light, and set the timing of the light signal according to the level of congestion detected. This system has been tested using vehicle movement simulations brought closer to the PIR and ultrasonic sensors at different distances. The test results show the system can work properly and produce the light signal according to the detected traffic conditions. For its application to traffic lights in the future, it is feasible to help the traffic unit.

Although the road traffic safety laws in various countries stipulate that emergency vehicles are exempt from route restrictions and traffic signals when performing emergency tasks, the severe traffic congestion issues in almost all major cities need to be considered. The frequent occurrence of these problems hinders the passage of emergency vehicles, and the key factor behind this obstruction is often due to the inherent flaws of traditional passive traffic control theories. In order to solve this problem, this paper innovatively constructs a high-dimensional and multi-variable flexible traffic control model. This model has four variables, which can greatly enhance the flexibility and capability of intersection control. On the basis of this model, an emergency vehicle priority control method combining dynamic lane control and dynamic phase control is designed. Comprehensive experimental results demonstrate that the proposed method in this paper can effectively ensure the fast and priority passage of emergency vehicles even in the presence of traffic congestion at intersections.

There is considered a problem of road traffic organization at crossroads under conditions of urban environment and outgoing highways. The urgency of the problem of automated traffic control with the information for vehicle drivers about traffic situation using both navigation systems and warning systems by means of signal transfer to radar-detectors is shown. 
 The investigation purpose consists in the development of automated self-regulated system of traffic lights control on the basis of vehicle number approaching to the traffic lights and vehicle driver warning about traffic jam approaching for the purpose of its going around. 
 In the paper there are solved problems regarding traffic capacity of a megapolis traffic system, driver warning about problem road situations and the automation of these processes. On the basis of the theory of automated control there is shown a developed system allowing the formation of a traffic passage by means of driver warning about traffic jam ahead. There are described thoroughly component parts of the system limiting only with the choice of components among prototypes available in the market. 
 A principle of automated traffic flow control at the crossroads supplied with the traffic lights is shown. There is shown a functional diagram of the interaction of system components for the successful traffic organization. The algorithm of the system automation functioning with its adjustment to certain time intervals of the effect of the enabling traffic light signal at a particular T-shaped or X-shaped intersection is described. The system developed for traffic control at intersections allows relieving considerably city streets. The analysis of the system has shown that traffic lights adaptive control allows decreasing traffic up to 70%. The application of domestic software components decreases system cost by 2-4 times as compared with foreign prototypes which, among other things, do not have the functional offered.

Unsignalized intersection Jl. Raya Cangkiran - Jl Cangkiran Gunung Pati, Tambangan kec.Mijen, Semarang is a three-way intersection that has access to the Cupan Terminal. Many people pass through this intersection. In conditions at these intersections, traffic jams occur during rush hours, and there is no traffic light which makes traffic conditions even more irregular, the safety of motorists is also threatened. Therefore, this study was carried out to analyze unsignalized intersections, planning the use of traffic lights, and knowing the traffic characteristics of Jl. Raya Cangkiran - Jl. Gunungpati Cup, Semarang. Data collection was carried out for 3 days, namely Saturday 25 February 2023, Monday 27 February 2023, and Wednesday, 1 March 2023 by taking peak hours at 06.00 WIB - 08.00 WIB, 12.00 WIB - 13.00 WIB, and 16.00 WIB - 18.00 WIB. Data collection methods used are capacity, degree of saturation, delays, queue opportunities, and Traffic Signaling Devices (APILL). The performance analysis of this unsignalized intersection uses the 1997 Indonesian Highway Capacity Manual (MKJI) to calculate the degree of saturation. As for the level of service using the Minister of Transportation Regulation No. 96 PM 2015. The results of the research are that in the existing conditions, alternative B is chosen as the best alternative for planning traffic lights with 2 phases of the 1-hour peak scenario on Saturday morning with a degree of saturation of 0.823 pcu/hour, a queue length of 103,045 m on the West approach, and a value delay of 14,784 veh/sec. From the results of the analysis, it can be concluded that the results of calculating the traffic evaluation for the current conditions obtained that the highest vehicle volume occurred on Monday, 27 February 2023. Then Jl. Raya Cangkiran – Boja, Semarang, fulfills the criteria for installing traffic lights and needs to install traffic lights or traffic control lights. As well as from the 3 planned alternatives, alternative B was chosen to install a 2-phase traffic signal light.

The acceleration of urbanization has left cities around the world facing significant challenges, including traffic congestion and inefficient management. Intelligent transportation systems provide new technological means to address these issues, especially in traffic signal control, where advanced communication technologies play an important role in facilitating the process. The potential of long range radio (LoRa) technology in intelligent traffic signal control systems is attracting growing interest, largely due to its capacity for long-range transmission and low power consumption. This paper explores the potential benefits of LoRa technology in traffic flow monitoring and signal control by reviewing existing studies, especially in the field of long-distance transmission and low-power communication. The study indicates that LoRa technology can effectively boost the efficacy of traffic management, reduce traffic congestion, and provide technical support for the development of future intelligent transportation systems. Nevertheless, the stability of LoRa technology in high-density urban environments and its integration with other technologies still present challenges. Further research can investigate the anti-jamming ability, communication rate optimization, and its potential for wider application of LoRa technology in Intelligent Transport Systems (ITS) to promote more efficient urban traffic management

Traffic light control systems are widely used to monitor and control vehicles’ flow to provide a smooth and orderly flow of traffic by controlling which lane should be granted to pass through the intersection point without compromising on safety standards. However, a conventional traffic light system handles neither dynamic traffic flow nor the prioritization of emergency vehicles (EVs). Consequently leads to congestion as the conventional traffic light grants underutilized road lanes to have the equal cycle length as a congested lane and possibly causes an accident and delay when multiple EVs are approaching the intersection. This paper proposes an intelligent system that dynamically adjusts the cycle length for each of the lanes at an intersection based on the vehicular density and grants the different types of EVs to pass through the intersection point by assigning different priorities. The system consists of three modules, the traffic light control module, the emergency Radio-frequency identification (RFID) moduleandtheinternetmodule. Thetrafficlightcontrolmoduledetectsvehiculardensityusing ultrasonicsensorsandassignsadynamicsetofcyclelengthbasedontheindividuallanedensity condition. TheemergencyRFIDsareinstalledon differenttypesofEVsbasedonthepreset priority weights. The internet module allows the dynamic traffic light system to be controlled by authorized personnel in a real-time application.