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Vehicular Ad-hoc Network (VANET) is a most critical class of mobile ad-hoc network (MANET) that enables roadside vehicles to intelligently interact with one another and with outside infrastructure anytime anywhere in the global network. The paper focuses on routing in VANETs. In this paper, genetic algorithm is applied to improve the routing and genetic algorithm finds the highly optimal (shortest)...
This paper presents two adaptive two-stage fuzzy controllers for traffic signals at isolated intersections. Firstly, a two-stage combination fuzzy controller is designed. For traffic status variables in two-stage controller leading to the inefficiency of traffic states weakening under low traffic flow, the controller introduces 0–1 combination and determines the combination of traffic status variables...
The non-recurrent congestion caused by incident happens frequently in urban traffic network and influences normal operation of traffic system greatly, so that studying on congestion control strategies under propagation of non-recurrent congestion is very important. The aim of this dissertation is to investigate the spatio-temporal distribution of traffic flow and location of variable message sign...
Traditionally, only basic signal timings have been optimized in order to minimize delays and stops of private vehicles. Transit Signal Priority parameters and subsequent beneficiaries, such as transit vehicles and passengers, are usually neglected in the signal timing optimization process. Little research has been done to reveal specific benefits of optimizing Transit Signal Priorities and whether...
In order to minimize the length of time required for emergency relief distribution, the decision-maker always considers damaged road network restoration as a strategy. Focusing on the interrelationship between relief distribution and road network restoration, we provide a transparent and feasible solution for solving optimized road network emergency restoration scheduling for relief distribution....
Traffic efficiency is commonly regarded as the most important target for the control of signalized intersections. However, from the fairness point of view, it can be argued that all vehicles at a signalized intersection should have equal passing opportunities. In this correspondence paper, a two-stage fuzzy logic control model for an isolated signalized intersection has been proposed, where both traffic...
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...
Increasing transportation network capacity is very important, particularly in congested traffic condition. In certain conditions, providing left turn green time could reduce intersection capacity because of: a) larger lost time due to added phase, and b) shorter green time for the through traffic movements. In this study, we will compare the effects of three ITS-based left turn policies on the performance...
In an urban road network, travel times are not uniquely determined by the traffic states due to stochastic properties of traffic flow, stochastic arrivals and departures at intersections and traffic signal control. As a result, for a given traffic state, a range of travel times (delays) is found. This can be represented by a distribution of travel times (delays). Calibrating a model for the travel...
Adaptive Traffic Control Systems (ATCS) aim at the improvement of traffic flow in terms of delay, number of stops, travel time etc. in urban networks under the regime of traffic signal control. Well known ATCS are SCOOT, SCATS, BALANCE and MOTION to name only a few. Lately the Cell Transmission Model (CTM) attracted some attention in the context of traffic signal control. It can be used to model the...
For improving the intersection traffic capacity and reducing the vehicle emission, the solution that aim at the multi-object optimization was presented by using genetic algorithm (GA), and urban traffic microscopic simulation model (UTMSM) combined with GA was developed. The simulation was performed and the result indicated that the optimization method in this paper was effective to get better traffic...
Urban network traffic is a complex, nonlinear, unstable system and is significantly affected by immeasurable factors. This paper presents an optimal model to the application of signal coordination for urban network based on real-time traffic volumes. It divides a large signalized network into several subgroups. The number of subgroups, phase-time and offsets can be optimized to achieve an optimal...
As progress in VANETs research continues, there is a persuasive need to support Quality of Service (QoS) routing in such networks. While greedy forwarding is used in many MANETs applications, it is found that it is not convenient for VANETs applications. In this paper, we investigate the important and difficult challenge of QoS routing in VANETs. First, we present an adaptive message routing protocol...
In order to study the optimization algorithm of signal timing of urban intersection under real-time traffic flows, with the target of minimizing the total delay of all entrance lanes of all phases and the restrictions of saturation and the minimum green signal time, the non-linear programming model for real-time signal control of urban intersection was constructed and the genetic algorithm for solving...
During the process of urban distribution, travel time delay of a route will often lead to the infeasibility of the initial distribution schedule. Focused on this problem, disruption management methodology is applied, and a disruption measurement method is presented, which takes customer unsatisfied index, deviation from the original transport network, and transport cost into considerations. In order...
This paper studies the control mechanism of a traffic network with multi-junction. In order to solve regional transportation problem with complex, strong stochastic features, more considerations focus on the mutual influence between junctions. Coordination control method based on multi-agent technology is proposed to process the coordination of district traffic when traffic jams occur, and a new specific...
In order to reduce the delay of vehicles passing through junction, the signal timing of agent controlled intersection was optimized by Q-Learning approach. On the basis of fuzzy rule set, the effect of signal control was improved through optimizing the combination of control rules with Q-Learning. The result of simulation illustrates that the signal control method based on Q-Learning is better than...
The immunogenetics theory is applied into traffic signal control in this paper. Then a new algorithm is proposed to solve the problem of signal timing optimization. For obtaining the optimal schedule quickly, the mechanism of the antibody response antigen is simulated in the improved immunogenetic algorithm, in which cell memory base is used to preserved best antibodies. The method of computing the...
In order to reduce traffic delay, a novel urban trunk road traffic signal coordinated control method was presented. Firstly, a multi-objective immune algorithm based on multi-population was proposed. By this way, it can effectively prevent population retrogression; promote diversity and the whole optimal searching ability of genetic algorithm. Considering the traffic delay of the uplink vehicles and...
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...
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