Design and Implementation of Intelligent Traffic Control System Based on Mathematica

2011 ◽  
Vol 58-60 ◽  
pp. 2477-2482 ◽  
Author(s):  
Nai Jun Xie ◽  
Qi Hua Cheng
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Light ◽  
Traffic Efficiency ◽  
Traffic Conditions ◽  
Signal Light ◽  
Simulation Based ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Mathematica Software

Intelligent traffic light control system based on fuzzy control was designed and the implementation of it was also discussed. The system can alter the signal light time according to the number of automobile waiting for passage. The simulation based on Mathematica software show that this method has better effect than traditional way in increase the automobile traffic efficiency and energy saving, what’s more it can adapt to complex traffic conditions.

scholarly journals Make Way: An Intelligent Real-Time Traffic Light Control System

2019 ◽  
Vol 9 (2) ◽  
pp. 709-712
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Signals ◽  
First Aid ◽  
Light Control ◽  
Traffic Light ◽  
Rf Receiver ◽  
Rf Transmitter ◽  
Traffic Light Control ◽  
Traffic Control System

Nowadays, automatic traffic light control is becoming an important requirement for travelers and number of road users especially for emergency service providers such as ambulance drivers, fire fighters etc... Various alternatives have been proposed, but it has certain limitations.One such example is using an RF transmitter mounted on the ambulance which will communicate with the RF receiver mounted on the signal post in the traffic control system. A special algorithm is provided to control the traffic signals automatically by pressing the key provided in the keybord on the ambulance by the driver.But in this case, there is big trouble for car accidents or road accidents, because of automatic adjustment and a large number of vehicles, and there is a problem of delay in first aid service, with these overcrowded roads. This paper describes a solution that is "Intelligent Ambulance with Automatic Traffic Control” which includes the accident detecting, alerting and tracking mechanism with an automatic traffic light controlling system to overcome this delay of first aid service. An ambulance can thereby easily finde a freeway to reach the victim in a minimal time and thereby providing first aid as soon as possible. This is possible by using an RF transmitter on the ambulance which will communicate with the RF receiver mounted on the signal post in the traffic control system. To control the traffic signals automatically, and to move towards the location in minimal time, a specific algorithm is proposed in this paper. Thus, the traffic light gets controlled by the intelligent ambulance itself, in such a way that it could provide free path to the ambulance[1].

scholarly journals Adaptive Traffic Light Control Based on Actual Condition Using Google Map API

2019 ◽  
Vol 3 (2) ◽  
pp. 61
Author(s):  
Adi Sabwa Isti Besari Arkanuddin ◽  
Selo Sulistyo ◽  
Anugerah Galang Persada
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Congestion ◽  
Actual Condition ◽  
Light Control ◽  
Traffic Light ◽  
Road Density ◽  
Traffic Light Control ◽  
Traffic Control System ◽  
Google Map Api

Traffic congestion is one of the main problems in transportation sector and it causes a lot of drawbacks to public. The traffic light system is used to reduce the level of occurring traffic congestion. Generally, the available traffic light systems use a fixed time setting. This old traffic control system is no longer able to manage the ever-changing traffic conditions effectively and efficiently, causing a long queue of vehicles. To overcome this problem, a traffic light control system that can adapt to actual conditions of road density and can run automatically is offered. This system utilizes Google Map API as a road density data source. The result of this study is a traffic control system that can adjust the green light time duration based on the obtained density values and density trends, simulation of this adaptive system as well as simulation results analysis. A prototype of this adaptive control system was also produced in this study.

scholarly journals Smart Ambulance Traffic Control System

2021 ◽  
Vol 4 (1) ◽  
pp. c28-34
Author(s):  
SUREN KRISHNAN ◽  
RAJAN THANGAVELOO ◽  
SHAPI-EE BIN ABD RAHMAN ◽  
SIVA RAJA SINDIRAMUTTY
Keyword(s):  
Control System ◽  
Radio Frequency Identification ◽  
Traffic Control ◽  
Integrated System ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Lights ◽  
Traffic Light Control ◽  
Emergency Ambulance ◽  
Traffic Control System

The traffic lights control system is broadly implemented to track and control the flow of vehicles through the intersection of multiple roads. Nevertheless, the synchronization of traffic light system at adjacent junctions is an intricate issue given the different parameters involved. Existing traffic light control systems do not control many flows approaching the same junctions. This results in traffic jams and congestion at urban areas or major cities with high volume traffic consisting of various types of vehicles. This includes emergency ambulances travelling on the same traffic junction during peak hour traffic. Thus, an enhanced traffic light control system is imperative to provide a smooth and free flow for an ambulance on the way to its destination. The Smart Ambulance Traffic Control System proposed in this paper is an integrated system of traffic light control for emergency ambulance service. The traffic lights can be controlled in a timely and efficient manner every time an emergency ambulance is approaching. The Radio-Frequency Identification (RFID) is used as an instrument to communicate with traffic lights during traffic congestion. The emergency ambulance driver needs to activate the RFID tag to allow the detection of RFID readers to control the traffic light operation at the upcoming traffic light junctions. The traffic lights in the path of the ambulance are forced to be green to allow the emergency ambulance to pass through the junction with top priority. Immediately after the ambulance has passed the junction, the control system will reset and return to normal operations.

scholarly journals Density Cum Priority based Adaptive Traffic Light Control System

2019 ◽  
Vol 8 (2S11) ◽  
pp. 3363-3367
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Traffic Density ◽  
Traffic Data ◽  
Adaptive Control System ◽  
Traffic Light ◽  
System A ◽  
Special Cases ◽  
Traffic Light Control ◽  
Traffic Control System

Advancement of technology and increase in population density expands the quantity of vehicles out. This in turn increases the traffic density, which necessitates the well developed traffic controller. This paper explains a microcontroller based traffic control system. To explain about the system a four way junction is considered. In addition to the normal traffic control system, two special cases are also handled in this system. The developed system is dealing problem of highly dense lane.IR sensors are used to detect the density of the vehicles. This system also help to avoid the unnecessary delay for the priority vehicles. RFID technique is used to identify the priority vehicles. An IOT WIFI module is used in this system to display the traffic signal status and to store the traffic data. This traffic data can be processed in future to design the improved adaptive control system

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 with Smart Sensing Of Emergency Vehicles

2019 ◽  
Vol 8 (02) ◽  
pp. 01-07
Author(s):  
Dr. M. Varadharaj
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Output Signal ◽  
Magnetic Sensors ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
The Road ◽  
Pollution Levels ◽  
Traffic Control System ◽  
Rf Signal

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect  to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels.

scholarly journals INTELLIGENT SYSTEM OF TRAFIC LIGHT CONTROL WITH DYNAMIC CHANGE PHASES OF TRAFFIC FLOWS ON UNCONTROLLED INTERSECTIONS

World Science ◽  
2018 ◽  
pp. 15-19
Author(s):  
Мoroz B. I. ◽  
Alekseieiev M. O. ◽  
Shvachych G. G. ◽  
Pasichnik A. M. ◽  
Miroshnichenko S. V.
Keyword(s):  
Traffic Control ◽  
Intelligent System ◽  
Dynamic Change ◽  
Light Cycle ◽  
Traffic Flows ◽  
Light Control ◽  
Traffic Light ◽  
Traffic Light Control ◽  
Effective System ◽  
Traffic Control System

There was method of making an effective system of traffic-light control of the traffic through the intersections in one direction according to which the phase coefficients for each cycle of traffic-light control are computed in real-time using the data of traffic intensity detected by transport detectors. Thus, the built-in traffic control system will be dynamically adapted to the change in the intensity of traffic flows, and the structure of the cycle and its duration will be changed taking into account the parameters of the traffic flow at the intersection. Accordingly, the traffic light cycle, where each cycle has the minimum required duration, will be most effective and will ensure uninterrupted traffic, the lack of traffic jams and the convenience for the pedestrian crossings.

scholarly journals INTEGRATED SMART TRAFFIC CONTROL SYSTEM MENUJU PEKANBARU SEBAGAI SMART CITY

JURTEKSI ◽  
2020 ◽  
Vol 7 (1) ◽  
pp. 67-74
Author(s):  
Reny Medikawati Taufiq ◽  
Sunanto Sunanto ◽  
Yoze Rizki
Keyword(s):  
Deep Learning ◽  
Control System ◽  
Object Detection ◽  
Traffic Control ◽  
Integrated System ◽  
Design Solution ◽  
Traffic Light ◽  
Traffic Control System ◽  
Smart Mobility ◽  
Smart Traffic

Abstract: Pekanbaru still using conventional traffic light control system. Pekanbaru as the capital of Riau Province is predicted  udergo the  increased of urban population by 54.5% in 2025. It is important for Pekanbaru to immediately implement smart and efficient traffic management system, so that traffic congestion can be resolved quickly. This research paper provides a design solution for smart traffic light management (Smart Traffic Control System), based on object detection technology that uses deep learning to detect the number and type of vehicles. The number of vehicle is the basis for determining the green light timer automatically. The Smart Traffic Control System (STCS) is integrated with a web based geographic information system (smart map) that can display the current condition  (picture, the number of vehicle, congestion level) of each STCS location. This integrated system has been tested on a traffic light prototype, using a mini computer and a miniature vehicle. This integrated system is able to detect 9 out of 12 vehicles, and able to send data regularly to the smart map.  Keywords: deep learning; smart mobility; smart traffic control system Abstrak: Pengaturan lampu lalu lintas di Kota Pekanbaru masih dilakukan secara  konvensional. Pekanbaru sebagai ibukota Provinsi Riau diprediksikan akan mengalami peningkatan jumlah penduduk  perkotaan sebesar 54,5% pada tahun 2025. Dengan melihat predikisi ini, penting bagi kota Pekanbaru untuk segera memiliki tata kelola lalu lintas yang cerdas dan efisien agar kemacetan dapat ditanggulangi dengan cepat. Penelitian ini memberikan rancangan solusi untuk tata kelola  lampu lalu lintas cerdas (Smart Traffic Control System), berbasis teknologi object detection  yang menggunakan deep learning untuk mendeteksi jumlah dan jenis kendaraan. Jumlah kendaraan menjadi dasar penentuan timer lampu hijau secara otomatis. Smart Traffic Control System (STCS) terintegrasi dengan sistem informasi geografis berbasis web (smart map) yang secara kontinu menerima informasi kepadatan (gambar terkini, jumlah kendaraan, level kepadatan), kemudian menampilkannya diatas peta Kota Pekanbaru. Solusi sistem terintegrasi ini telah diujikan pada sebuah prototipe lampu lalu lintas, menggunakan komputer mini  dan  miniatur kendaraan. Sistem terintegrasi ini mampu mendeteksi 9 dari 12 kendaraan, dan mampu mengirimkan data secara berkala kepada smart map. Kata kunci: deep learning; smart mobility; smart traffic control system

scholarly journals Density Based Traffic Control System with Smart Sensing Of Emergency Vehicles

CONVERTER ◽  
2019 ◽  
pp. 01-07
Author(s):  
Dr. M. Varadharaj
Keyword(s):  
Control System ◽  
Traffic Control ◽  
Output Signal ◽  
Magnetic Sensors ◽  
Emergency Vehicle ◽  
Traffic Light ◽  
The Road ◽  
Pollution Levels ◽  
Traffic Control System ◽  
Rf Signal

Present Traffic Light Controller (TLC) relies upon micro-controller and microchip. These TLC have restrictions as they are depend on pre-portrayed gear, which is filling in with respect  to the program that doesn't have the versatility of adjustment on continuous reason. Owing to fixed time spans, orange and red signal’s holding up time is more and vehicle uses more fuel. To make traffic light leadership progressively beneficial, we abuse the advancement of new procedure called as “Density based traffic control system with smart sensing of emergency vehicles”. It is constructed mainly by using Magnetic Sensors for real world environment and by using IR modules for Model. The main objective of our project is to clear traffic efficiently by effective usage of the green signal time. In this system the density of the vehicle in a particular lane is obtained by the number of magnetic sensors kept in the road side which produces output signal with respect to the density of the traffic. Thus produced output signal is further processed by ARM microcontroller and according to the density obtained by the magnetic sensors the countdown time of the green signal is varied by the microcontroller and hence the usage of green signal even after all the vehicle pass by are prevented. In addition to this system our system also senses the emergency vehicle like ambulance that approaches the signal by detecting the RF signal transmitted by the Ambulance or other emergency vehicle with the help of RF receivers that kept at the road side and halts all the vehicles by putting red signal for all the four sides of road and puts special ‘green jeep signal’ for the emergency vehicle to pass by hence our system provide way for emergency vehicle. It can also prioritize the emergency vehicle with the help of RF transmitter and receiver. As the signalling board receives the RF signal, it turns the Corresponding lane ON, thus clearing the route for the emergency vehicle. DSS also analyses the pollution levels by placing a check over the vehicle emissions at the junctions. When the priorities of any two lanes clash, pollution levels are taken into account to provide the signals for them in turns. The gas sensors are fitted onto the signalling boards which help in calculating the pollutant levels.

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