Implementing Intelligent Traffic Control System for Congestion Control, Ambulance Clearance, and Stolen Vehicle Detection
ABSTRACT: This paper presents an intelligent traffic control system to pass emergency vehicles smoothly. Each individual vehicle is equipped with special radio frequency identification (RFID) tag (placed at a strategic location), which makes it impossible to remove or destroy. We use RFID reader, NSK EDK-125 – TTL, and PIC16F877A system-on-chip to read the RFID tags attached to the vehicle. It counts number of vehicles that passes on a particular path during a specified duration. It also determines the network congestion, and hence the green light duration for that path. If the RFID-tag-read belongs to the stolen vehicle, then a message is sent using GSM SIM300 to the police control room. In addition, when an ambulance is approaching the junction, it will communicate to the traffic controller in the junction to turn ON the green light. This module uses ZigBee modules on CC2500 and PIC16F877A system-on-chip for wireless communications between the ambulance and traffic controller. The prototype was tested under different combinations of inputs in our wireless communication laboratory and experimental results were found as expected. Index Term: ZigBee, CC2500, GSM, SIM300, PIC16F877A, ambulance vehicle, stolen vehicle, congestion control, traffic junction.
INTRODUCTION:
NTERNET OF THINGS can be defined as a thing having identities which can be operated using intelligent interface to connect and communicate within smart space. IOT is expected to offer advanced connectivity of system, devices which cover a vast variety of protocol, domain and application. The main communication form on the internet is human-human , but in near year there will be everything i.e. the object will have a unique identification number. The communication form will expand to form human-human to human-thing and then to thing-thing. This is possible using various sensors connected through internet. Basically IOT is connecting different application devices to one other through internet. This is possible due to use of sensors; these are able to transmit a wide variety of data, location, movement, temperature, environment etc. Initially we were able to communicate via internets which require to address to identify each device. The IOT is based on the standard of using the Internet protocol (IP). Internet of things host the visualization computing and ambient intelligent enhancing them by requiring a full communication and a complete computing potential among things and integrating the element of continuous handshaking, recognition and interaction [6]. We are alread y running out of IP address within IPV4 due to use of it in personal computing. Hence IPV6 was launched in 2012, the address under IPV6 are much longer and have large capacity of unique IP address. The IOT market is expected to potentially grow in 2015 there are about 25 billion autonomous internet connected devices, which are about to rise to 200 Billion devices by 2020 [2]. Like any other Internet application, traffic controlling using IOT would rely on massive data centers to migrate, replicate and store data. The challenge is that today’s large data centers have to charge cloud provider fees to do this, and supporting a complex and dynamic vehicular grid could lead to astronomical fees for those providers - not to mention poor service performance. However, suggests one way around this could be transforming roadside sensors such as traffic light cameras and pressure radars into their own miniature data centers. In other words, they find a way to create a unique vehicular cloud using existing infrastructure. Internet of things is becoming a fast emerging technology, creating a ubiquitous standard in wired and wireless communication. The IOT permit people and objects to be connected Anytime, Anywhere, with anything and anyone ideally using any media and any service [6]. The IOT have created enormous opportunity in management of urban infrastructure such as smart cities, Industrial control, Environmental monitoring and etc. Internets of thing have created a technological revolution in the future of compu ting and communication. IOT is creating
a mix between physical worlds with information world together. In future it’s not going to be people communicating with people, but it’s going to be about accessing machine to talk to another machine on behalf of the people. Present infrastructure is one of the biggest challenges face by IOT
LITERATURE SURVEY: EXISTING METHOD
Traffic congestion is a major problem in cities of developing Countries like India. Growth in urban population and the middle-class segment contribute significantly to the rising number of vehicles in the cities.
Congestion on roads eventually results in slow moving traffic, which increases the time of travel, thus stands-out as one of the major issues in metropolitan cities.
In green wave system is discussed, which is used to provide clearance to any emergency vehicle by turning all the red lights to green on the path of the emergency vehicle, hence providing a complete green wave to the desired vehicle. A ‘green wave’ is the synchronization of the green phase of traffic signals.
With a ‘green wave’ setup, a vehicle passing through a green signal will continue to receive green signals as it travels down the road. In addition to the green wave path, the system will track a stolen vehicle when it passes through a traffic light. Advantage of the system is that GPS inside the vehicle does not require additional power. The biggest disadvantage of green waves is that, when the wave is disturbed, the disturbance can cause traffic problems that can be exacerbated by the synchronization
PROPOSED METHOD
RFID technique deals with multivehicle, multilane, multi road junction areas. It provides an efficient time management scheme, in which, a dynamic time schedule is worked out in real time for the passage of each traffic column
The focus of this work is to reduce the delay in arrival of the ambulance to the hospital by automatically clearing the lane, in which, ambulance is travelling, before it reaches the traffic signal.
This can be achieved by turning the traffic signal, in the path of the ambulance, to green when the ambulance is at a certain distance from the traffic junction. The use of RFID
