International Research Journal of Engineering and Technology (IRJET)
e-ISSN: 2395 -0056
Volume: 04 Issue: 04 | Apr -2017
p-ISSN: 2395-0072
www.irjet.net
Smart Traffic Management System Using Resource Sharing Anamika Kumari1, Damini Patil2, Vishal Maurya3 , Shrinivas Phalle4 , Shailesh Hule5 1Student,
Dept. of Computer Engg., PCET’s Pimpri Chinchwad College Of Engg., Nigdi, Maharashtra, India Dept. of Computer Engg., PCET’s Pimpri Chinchwad College Of Engg., Nigdi, Maharashtra, India 3Student, Dept. of Computer Engg., PCET’s Pimpri Chinchwad College Of Engg., Nigdi, Maharashtra, India 4Student, Dept. of Computer Engg., PCET’s Pimpri Chinchwad College Of Engg., Nigdi, Maharashtra, India 5Assistent Professor, Dept. of Computer Engg., PCET’s Pimpri Chinchwad College Of Engg., Nigdi, Maharashtra, India 2Student,
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Abstract - The ever-increasing rate of vehicles running in
According to a Survey [3], an average person spends about 300 hours every year, waiting on traffic signals, which boils down approximately to an hour daily. Thus, traffic is an important part of our lives, not only having an impact on our transportation but also have a significant effect on our urban environment. For example, the combustion of gasoline in petrol engine produces 2.4 kg of CO2 per 1 liter of gasoline (diesel engines produce about 0.3 kg more) [4]. Regarding the up-surging traffic density in cities, the environmental impact is of greater consequence there. This is the reason why in the smart cities of the future, the traffic control algorithm should not focus on the traffic objectives only, but they should be made to see the problem from a higher viewpoint covering the environmental impacts as well.
the city necessitated the need of digitalized traffic congestion control system. Conventional systems [1] use fixed sequence for allocating green signal timings or RIGHT TO PASS to the available lanes. These systems consider number of vehicles stops at that particular time. However, the lack of consideration of dynamic factors such as diversity in traffic at run-time, special circumstances such as peak hours, type of vehicle passing. There may be times when there is no one present at the intersection. Therefore, it is necessary to control traffic system such that the green lights sequence is adaptive to continuously changing traffic scenarios.
Thus, traffic signal control is considered as a competitive traffic management strategy for improving mobility in transport system and addressing environmental issues in urban areas [5]. Nevertheless, inefficient operation of traffic light system is what acts as a common problem that annoys road users and negatively affects the local economy. It creates costs at different levels of the transport network system, such as increased fuel consumption, trip times, traffic emissions, and noise levels etc. Thus, it is a necessity to have a better functioning traffic control system implementation.
Our proposed algorithm takes into account of all the dynamic changing factors [2] and digitally allocates the green light timings to available lanes. The advantages of proposed system would be reduced average waiting time at signals and it would ensure the safe and proper execution of the traffic lanes avoiding possible conflicting movements. The hidden advantage of the system, after adapting our algorithm is alleviating traffic efficiently and reducing the ill effects on environment triggered due to pollution generated through vehicle’s waiting at signals.
Generally, the traffic system is controlled by three signal lights- green, red and yellow [6]. The reason why traffic congestion (commonly termed as traffic jams) occurs is increasing number of vehicles and poor management of traffic algorithms. There is no fixed infrastructure for every junction, street and road which leads to loopholes in construction of fixed timing algorithms. Previously, human administrated or automated offline softwares were used for computation of time slots given to each signal at traffic signals. But these timings used to fail at specific times of the day or particular days(festivals etc.), which led to the development of self-automated online systems which continuously sense the environment and compute the timings to be given to traffic signal at a particular instant. Our objective here is to construct such dynamic system algorithm which alleviates the traffic at traffic junctions leading to smooth movement of traffic flow.
Key Words: Algorithm, congestion, dynamic, peak hours, average waiting time.
1.INTRODUCTION The traffic scenario in India and also at global level, since high need of transportation and increase in number of vehicles, has become a topic of concern. Though appealing people to use public transport is a solution, it is much harder to implement and to convince the public. Since, traffic congestion creates quite an obstruction for smooth functioning of public transports, thus leading to avoidance of those by common people.
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