Smart Traffic System Operations

Author(s):  
Neelu Khare ◽  
Shruthy Bhavanasi

Traffic congestion is a growing problem in the world. It causes waste of time and fuel, increases pollution and stress. This is especially of road traffic in India, which faces problems like congestion, unpredictable travel time, urban chaos and noise. A smart traffic system automates the traffic control activity in order to obtain preference for the lanes on the basis of certain parameters. Hence, it provides an automatic control on the traffic in an optimized manner. It takes inputs from various sensors (utilising ultrasonic sensors, light sensors, motion sensors, cameras and IoT devices) and sends interrupt signals to the controlling devices. It consists of the IoT (Internet of Things) coupled with smartphone technology, RFID, sensors and a LADAR system. The system deals with the major issues of traffic congestion and collision avoidance and suggests remedies to tackle the same. In this chapter, various methodologies and architectures for smart traffic system operations are described.

Author(s):  
Muhammad Fahees Ghouri ◽  

Abstract— This project is aimed at resolving severe traffic congestion in most cities across the world by using latest technologies. The world is heading towards IoT and shifting daily routine manual processes to automatic systems. Current traffic control system is based on fixed timer which becomes one of the main reasons of transport blockage. In order to overcome this problem, a framework has been designed to introduce the concept of smart traffic system which includes Internet of Things. The road side sensors attached to the Arduino Mega send information to the cloud using NodeMCU where decision is taken based on density, hence involving cloud computation to turn a particular signal green. Moreover, we have also dealt with emergency vehicles which bears the facility of turning signal green using either RFID system or GSM based mobile. Sound sensors are placed to confirm that the signal return to normal condition once the emergency vehicle has crossed the signal. Lastly, a geofencing based marketing app called “Brando” has been designed using android studio to provide location-based services from the nearest stations like shopping malls to the people on road on their respective mobile phones.


Author(s):  
Robert Bestak

The advancements in the technologies related to the wireless communication systems has made the vehicular adhoc networks prominent area of research in the automobile industry. The absolute volume of road traffic affects the safety, convenience and the efficiency of the traffic flow in the urban areas. So the paper scopes in developing an intelligent traffic control device model using the adhoc network to ameliorate the traffic flow. The proposed system enhances the convenience in travel by gathering the information of the vehicles along with the density of the vehicles and the movement of the vehicles on road. The device is modelled using the MATLAB and examined over the traffic flow on the peak hours as well as the normal hours and the holidays to understand its intelligent traffic control. The results obtained shows that the performance improvement in optimizing the traffic congestion through the proposed method is better compared to the existing methodologies used in traffic controlling.


2017 ◽  
Vol 2 (1) ◽  
pp. 27-30
Author(s):  
Hozan Khalid Hamarashid ◽  
Miran Hama Rahim Saeed ◽  
Soran Saeed

Nowadays, traffic light system is very important to avoid car crashes and arrange traffic load. In the Sulaimani City / Iraq, there are many traffic problems such as traffic congestion or traffic jam and the amount of time provided manually to the traffic light system. This is the main difficulty that we try to solve. The traffic lights exist but still do not manage traffic congestion due to the fixed time provided for each lane regardless of their different load. Therefore, we are proposing to change the traditional traffic system to smart traffic system (adaptive system). This paper Focuses on the existing system (fixed system), then propose the adaptive one. The main crucial side effects of the existing system are:   Emergency cases: congested traffics might block the way of emergencies for instance ambulance, which transports people to the hospital Wasting time of people generally and specially Delays, which lead people to not to be punctual, this means people arrive late to the work  Wasting more fuels as staying more in the traffics, which affects the environment by increasing pollution.


This traffic controller system aims at designing a dynamic automated traffic control system where the signal and time limit will be automatically changed when it detects traffic congestion in any lane. Traffic congestion is a major problem in many cities around the world so it is urgent need to switch over from manual mode or timer mode to an automated traffic control system that has the power to make decisions on its own. The current traffic signal system is working on fixed time which may not work if one route gets more traffic than other lane. To overcome this problem, a smart traffic control system is proposed. When using this system high traffic congestion on a particular lane receives green for a longer period of time compared to the other lanes which has normal vehicle flow. Therefore, the proposed method of providing green and red light time is based on the amount of traffic congestion at the time with the help of an IR sensor and Sound sensors connected to ATmega 2560 Microcontroller.


2012 ◽  
Vol 95 (4) ◽  
pp. 11-19 ◽  
Author(s):  
Yuji Shigehiro ◽  
Takuya Miyakawa ◽  
Tatsuya Masuda

2020 ◽  
Vol 10 (8) ◽  
pp. 2880
Author(s):  
Bo Kyung Park ◽  
Geon-Hee Kang ◽  
Hyun Seung Son ◽  
Byungkook Jeon ◽  
R. Young Chul Kim

In an intelligent smart city like Sejong city in Korea, automatic and smart software is absolutely necessary for autonomous traffic and vehicles control systems. Therefore, these systems need to have an accurate and timely performance; otherwise, safety issues may arise. To resolve this, we propose our code visualization approach to adapt an object-oriented smart traffic control simulator, which analyzes Java code’s complexity and identifies bad codes against performance. To achieve an accurate performance, we must repeatedly perform refactoring until attaining a range of system-defined performances through effective code visualization. As a result, we enhance the code complexity of the cyber-physical system-based software to achieve the exact performance. With this approach, we expect to obtain an accurate performance and complexity improvement of the object-oriented traffic control simulator without significant power consumption.


Traffic Congestion is a major problem in many cities in India and other countries. Signal failure, lax regulation and traffic management have contributed to congestion of traffic. Some of the key issues with Indian cities is that the new network cannot be expanded further and that thus the only option left is better management and living standards It is therefore high time the issue of traffic congestion is to be dealt effectively Traffic control approaches include video data processing, infrared cameras, inductive loop tracking, wireless sensor network, etc. In our study, we use an infrared sensor that can be paired with the existing signaling network that can act as a portal to intelligent traffic management. Additionally, a smartphone application is connected to a centralized system that communicates with the local rescue department about a fire explosion site for further action. There's also a software application to provide the smart city's higher authorities with valuable information in graphic formats, which is helpful in future road planning. Automated traffic control and surveillance are essential for the use and maintenance of the highways.


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