A survey on smart traffic network control and optimization (original) (raw)
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Techniques for Smart Traffic Control: An In-depth Review
International Journal of Computer Applications Technology and Research, 2015
Inadequate space and funds for the construction of new roads and the steady increase in number of vehicles has prompted scholars to investigate other solutions to traffic congestion. One area gaining interest is the use of smart traffic control systems (STCS) to make traffic routing decisions. These systems use real time data and try to mimic human reasoning thus prove promising in vehicle traffic control and management. This paper is a review on the motivations behind the emergence of STCS and the different types of these systems in use today for road traffic management. They includefuzzy expert systems (FES), artificial neural networks (ANN) and wireless sensor networks (WSN). We give an in depth study on the design, benefits and limitations of each technique. The paper cites and analyses a number of successfully tested and implemented STCS. From these reviews we are able to derive comparisons of the STCS discussed in this paper. For instance, for a learning or adaptive system, ANN is the best approach; for a system that just routes traffic based on real time data and does not need to derive any data patterns afterwards, then FES is the best approach; for a cheaper alternative to the FES, then WSN is the least costly approach. All prove effective in traffic control and management with respect to the context in which each of them is used.
International Journal of Scientific Research in Science, Engineering and Technology, 2020
Traffic Congestion is considered as one of the major dimensions of a smart city. With the rapid growth of population and urban mobility in metropolitan cities, traffic congestion is often seen on roads. In this paper we have made an attempt to Intelligent Traffic Control System (ITCS) is to achieve improvement in Safety less time the valuable human life delay as per the distance density. With the help of traffic control we can assign more time on the side where it’s required and less time on the side where it’s not required. This device can be fitted into Vehicles like Bus, Car etc.
Traffic Flows System Development for Smart City
2020
The work is devoted to the development of an information system, where the movement of vehicles is a central element. Another key element is research and development of theoretical and methodological foundations and mathematical tools for performing all kinds of tasks for managing these flows, improving the transport network and maintaining good quality of the roads. To achieve this, the following questions were raised in this document: analysis of existing methods of solving various problems related to the traffic of a large city; development of a formalized approach to solving this class of problems; development of algorithm for optimization of these tasks; implementation of developed algorithms in the complex traffic management program. As a result, specific practical problems regarding managing the traffic flow of a large city were solved, the adequacy of developed models and algorithms was proved, and the usefulness of their use was shown.
A Survey on Intelligent Traffic Management System
— Intelligent road traffic flow control is one of the major area of research in transportation and city traffic management in recent times. It is found in studies that most of the pollution is attributed by vehicles waiting at the traffic signal than driving vehicles in the peak up time. The main purpose of this work is to reduce the pollution level which is emitted by vehicles at the Traffic signal. In order to reduce the city traffic pollution and at control the traffic flow effectively, we have proposed a novel technique of traffic light management based on pollution sensing
Intelligent Traffic Management Systems: A review
Nile Journal of Communication and Computer Science
Recent years have witnessed a colossal increase of vehicles on the roads; unfortunately, the infrastructure of roads and traffic systems has not kept pace with this growth, resulting in inefficient traffic management. Owing to this imbalance, traffic jams on roads, congestions, and pollution have shown a marked increase. The management of growing traffic is a major issue across the world. Traffic management is a key branch within logistics. It concerns the planning, control and purchasing of transport services needed to physically move vehicles (for example aircraft, road vehicles, rolling stock and watercraft) and freight. Intelligent Transportation Systems (ITS) have a great potential in offering solutions to such issues by using novel technologies. The ITS-based traffic management and control solutions in this evaluation have been divided into four categories: solutions for managing traffic, preventing congestion, and predicting trip times. The solutions, together with the underlying technology, benefits, and limitations, have been described.
Review Paper on Modern Traffic Control System
In the current context of smart city, specifically in the industrial and market zones, the traffic scenario is very congested most of the time particularly at the peak time of business hours. Not only it causes travelling delays, it also contributes to environmental pollution as well as health hazards due to pollution caused by vehicle fuels. To keep away from such severe issues many radiant urban communities are right now implementing smart traffic control frameworks that work on the standards of traffic automation with prevention of the previously mentioned issues the research works reviewed adequately demonstrate the multiplicity of approaches possible to tackle traffic management problems in specified contexts. Clearly dynamic systems using real time data and predictive models are better than the commonly used static systems which are insensitive to changing traffic conditions.
Intelligent traffic controller
International Journal of Information Technology, 2019
Automotive technologies are gaining ground in modem road traffic-control systems, since the number of road vehicles and passengers is rapidly growing. There is a perpetual need for safety-critical traffic automation, and traffic engineering makes the dynamic or static analysis and the synthesis of automotive vehicle technologies possible. The main goal of engineering is the planning and management of traffic systems. The project supports the development of reliable and optimal control structures for urban traffic and for motorway systems.
Intelligent traffic management system A systematic survey
Journal of emerging technologies and innovative research, 2018
The inferior transportation system of any country directly affects its socioeconomic development, human health and environment. In this regard, Intelligent Transportation System (ITS) has been developed in order to deal with these growing problems of traffic congestion. ITS is a promising technology which makes the road transportation system intelligent with the use of computing, electronics and communication technologies. Therefore, the success of ITS in managing the traffic flows depends on the communication technologies and algorithms used. This review provides the insight of various types of communication technologies and algorithms used in ITS and an assessment of their effectiveness. The paper highlights the conclusions extracted from studies of different communication technologies and algorithms and besides suggests the future directions considering the challenges of presently used systems.
Dynamic Traffic Control and Management System for Smart Cities
Advances in Science and Technology Research Journal
The computational capabilities of computers enable a human being to control the vehicles and their traffic. Automatic traffic control system not only reduces the effort of human but also provides secure and accurate results. Here, the architecture of Agent-Based Autonomous Controller (ABAC) that manages vehicles at traffic signals intelligently was proposed. The proposed solution is followed by a vehicle counting by infrared (IR) sensor; providing solution for independent and mutual dependent signals for smooth traffic flow; emergency vehicles alert and priority over public vehicles through Radio Frequency Identification (RFID). Finally, the proposed research was tested through simulation that reveals the performance over the previous traffic control and management architectures.
Designing an Intelligent System for Traffic Management
Traffic congestion has become a serious problem that arises in our cities; this is due to rapid population growth, the rapid increase in the number of cars. Therefore, there is an infernal traffic jams. It is in this light, it is imperative to eliminate or at least reduce traffic congestion through the adoption of the policy of ITS (intelligent transport systems). The objective of this paper is to propose a study on the problem of congestion in cities, by reducing traffic congestion.