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In this work an algorithm for the optimization of signal setting on urban network is proposed. Signal setting are designed based on a given flow in the network. However, the flow in the network is also influenced by the route choice decisions. This paper deals with traffic signal setting with demand assignment. All approaches proposed in literature to address this problem are based on equilibrium...
This paper proposes a real-coded Genetic Algorithm for finding optimal parameters' values of a driver's model. Driver's models are one of the important requirements in de-signing controllers for vehicle electrification technology. Latest driver's model that includes driver's response delay, driver's response time and the level of driver's skills has been proposed previously. This model contains several...
Intelligent traffic has been widely used in our society. However, many problems of intelligent transportation system are becoming more and more obvious. The emergence of the Internet of things provides a new technology platform for the realization of intelligent transportation. In this paper, we discuss the principle and technology of the Internet of things in the application of intelligent transportation...
An optimal design of Adaptive Neuro-Fuzzy Inference System (ANFIS) traffic signal controller is presented in this paper. The proposed controller aims to adjust a set of green times for traffic lights in a single intersection with the purpose of minimizing travel delay time and traffic congestion. The ANFIS controller is trained, to learned how to set green times for each traffic phase. This intelligent...
Over the last few years, a lot of applications have been developed for Vehicular Ad Hoc NETworks (VANETs) to exchange information between vehicles. However, VANET is basically a Delay Tolerant Network (DTN) characterized by intermittent connectivity, long delays and message losses especially in low density regions [1]. Thus, VANET requires the use of an infrastructure such as Roadside Units (RSUs)...
Urban Sensing has become an increasingly popular service in vehicular networks. It allows consumers to access a repository of data collected by sensors embedded in vehicles. Aggregation is a viable approach to convert the sensed data into a usable form. An efficient way to perform aggregation is to divide the network into a number of geographical regions, called aggregation regions. In this paper,...
Never Stop is an intelligent transportation system with sensor to control the traffic lights at intersection automatically. It utilizes fuzzy control method and genetic algorithm to adjust the waiting time for the traffic lights, consequently the average waiting time can be significantly reduced. A prototype system has been implemented at an EBox-II terminal device, running the fuzzy control and genetic...
In this paper, we propose a new intersection-based geographical routing protocol, called delay tolerant routing protocol (DTRP) that adapts to the changes in the local topology within city environments. DTRP is based on an effective selection of road intersections through which a packet must pass to reach the gateway to the Internet. The selection, in such delay tolerant VANETs, is made in a way that...
In order to reduce traffic delay, a novel urban trunk road traffic signal coordinated control method using a multi-Population immune algorithm was presented. Considering the traffic delay of the uplink vehicles and the down vehicles at different times on the trunk road, the objection function for total delay is set up, and the objection function optimization based on multi-Population immune algorithm...
This article proposed a new method using Genetic Algorithms to optimize Real-time fuzzy control. This model has less input parameters, less rules. And it has advantages in both time and space complexity. It is easy to control, and has no restriction of experience knowledge. This method is applicable to Real-time system applications. The simulation result indicates the Fuzzy-Genetic Algorithms Optimizing...
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