International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 02 | Feb -2017
p-ISSN: 2395-0072
www.irjet.net
INTELLIGENT TRAFFIC LIGHT CONTROLLER USING EMBEDDED SYSTEM Sayali Ambekar1, Shraddha Jawalkar2, Anagha Patil3, Shweta Patil4 1 Student,
Dept. of Computer Engineering, Sinhgad College of Engineering, Maharashtra, India Student, Dept. of Computer Engineering, Sinhgad College of Engineering, Maharashtra, India 3 Student, Dept. of Computer Engineering, Sinhgad College of Engineering, Maharashtra, India 4 Student, Dept. of Computer Engineering, Sinhgad College of Engineering, Maharashtra, India ---------------------------------------------------------------------***--------------------------------------------------------------------2
Abstract - Present Traffic Light Controllers (TLC) based on
police. The traffic jam will be reduced by increasing the green signal time on heavy road and decrease the red signal time in non-heavy road.
microcontroller and microprocessor. These TLC have limitations because it is functioning according to the program that does not have the flexibility of modification on real time basis. Due to the fixed time intervals of green, orange and red signals the waiting time is more and car uses more fuel. To make traffic light controlling more efficient, there is a new technique called as “Intelligent traffic light controller”. This new technique makes the use of Sensor Networks along with embedded technology. The timings of Red, Green lights at each crossing of road will be intelligently decided based on the total traffic on all adjacent roads. Thus, optimization of traffic light switching increases road capacity and traffic flow, and can prevent traffic congestions.
2.2 Organization of report The report is divided into three chapters. Chapter 2 discusses about literature review that covers fundamentals of topic, existing method, its merits and demerits, algorithms and actual working of system. Chapter 3 discusses about result, conclusion and future work.
2.3 Literature Survey In “Dynamic Traffic Signal Timing Optimization Strategy Incorporating Various Vehicle Fuel Consumption Characteristics” paper proposes a dynamic traffic signal timing optimization strategy (DTSTOS) based on various vehicle fuel consumption and dynamic characteristics to minimize the combined total energy consumption and traffic delay for vehicles passing through an intersection. The proposed timing plan was compared with consistent results were obtained [1].
Key Words: IR sensors, microcontroller, k-means algorithms, MAX-232
1. INTRODUCTION This system is developed using embedded system. It is used for controlling the traffic signal that is why it is used with roads, bikes and traffic. For this we are creating a hardware kit and server. In this project we are using clustering algorithm that is K-Mean algorithm. We can also maintain the database using MySQL. With the help of IR sensors we are going to take vehicle count as input to system. According to vehicle count, we are decided the time ranges for all signals. For implementing this system we are using hardwares like 4 IR sensors, ADC, atmega8 microcontroller etc. and softwares like NetBeans, java language, MySQL database and glassfish server.
In “SmartRoad: Smartphone-Based Crowd Sensing for Traffic Regulator Detection and Identification” article they present Smart Road, a crowd-sourced road sensing system that detects and identifies traffic regulators, traffic lights, and stop signs. The resulting traffic regulator information can be used for many assisted-driving or navigation systems but limitation is the mobile crowdsensing paradigm is quickly raising interests and funds [2]. In “Optimizing Traffic Signal Settings in Smart Cities” proposes a bi-level optimization framework to settle the optimal traffic signal setting problem. The upper-level problem determines the traffic signal settings to minimize the driver average travel time, while the lower-level problem aims for achieving the network equilibrium using the settings calculated at the upper level. The Dynamic Traffic Assignment (DTA) to decouple the complex bi-level problem into tractable single-level problems which are solved sequentially. The bi-level problem can be expressed as a mathematical program converting the lower-level problem as a set of additional constraints of the upper-level problem. [3].
2. MANUSCRIPTS 2.1 Motivation The motivations for using intelligent traffic light controllers are to implement hardware which is suitable for real life implementations. They include minimizing the delay or waiting time on road, design of safe and efficient traffic flow, assigning the right way and avoiding the overhead of traffic
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