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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...
The paper investigates a path planning and following algorithm of observing targets for an underwater vehicle-manipulator system(UVMS). The algorithm including the operational task assignment and path following for the UVMS is proposed. The operational task assignment consists of path planning and task assignment. Path planning provides planned trajectory distance between any two targets for task...
In this paper a new concept for the layout of hybrid-electric-powertrains is developed that includes optimization of the component-sizes as well as control strategies. In contrast to most existing publications, the approach explicitly considers the conflicting goals of low fuel consumption and high vehicle longitudinal dynamics and the trade-off is quantified. Two multiobjective optimization subproblems...
Traffic flow control optimization in the traffic light systems is studied for improvement in this paper. Traffic light systems are built to control the traffic flows at the intersections to ensure the fluency of traffic flow within the traffic network. The increasing traffic flows that cannot be supported by the current traffic light systems cause lengthen of queue length at the intersection. The...
The actual express delivery network problem is to find a minimum-time tour solution and obtain vehicle classes and frequencies of mail routes. In order to solve the actual problem, the vehicle routing problem with multiple vehicle classes and vehicle frequencies is presented and described, and simulation-based optimization model of the actual problem is developed. With respect to huge perturbation...
The Vehicle Routing Problem (VRP) is of considerable economic significance in logistic systems as it manages the distribution of goods to make an efficient transportation system. Considering a practical application, this paper solves a vehicle routing problem with stochastic demand (VRPSD) in which the customer demand has been modeled as a stochastic variable as opposed to conventional VRP. To deal...
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...
An active suspension system for vehicles using the genetic algorithms and neural network controls strategy is presented. A half car four degree of freedom suspension vibration model is described. Compared with the conventional passive suspension system, the analysis is done to the system control performance. The analysis of the system response is obtained through the change of the neural network training...
Recent trends shows that hydrogen powered fuel cell vehicles (FCVs) are gaining universal attention, because of the need for more fuel-efficient vehicles. Advancement in fuel-cell technology has ignited interest in all-electric propulsion systems. Regardless of some drawbacks in terms of number of electrical storage components being used and relatively larger capacity of on-board energy storage required,...
This paper presents a traffic signal control method based on ??large phase?? to solve the problem of traffic signal control. And a traffic signal control method using fuzzy system and genetic algorithm (GA) for city single-intersection is studied. The results of simulation indicate that the method can improve control effect and reduce computational cost.
In this paper, the multiple-depot vehicle routing problem with fuzzy demands is considered, on the basis of uncertain demand of multiple-depot vehicle routing problem, a fuzzy chance constrained program is designed based on fuzzy credibility theory. Then the hybrid genetic algorithm based on fuzzy simulation is used to solve the vehicle routing model. In genetic algorithm, a new code is given, and...
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...
Aiming at the multi-intersections of the urban traffic trunk line, a coordination control by sections is brought forward. The proposed algorithm includes three key steps. Firstly, according to the relativity of each two or three natural intersections on the trunk line, a new intersection is generated, which is thought of as an independent control unit. Some intelligent algorithms are adopted to acquire...
Without persons specially assigned to manage pedestrians, pedestrians almost are reluctant to wait in developing cities, such as Xipsilaan during green phases for vehicles. Thus, some vehicles may conflict with pedestrianspsila noncompliance, and be delayed. To solve the signal optimization problem of urban traffic with pedestrianspsila noncompliance, a hybrid optimization algorithm is developed....
An urban region traffic intelligent coordinated control method based on multi-agent is presented, and the control target is to make bus-weighted vehicle average delay least. A two-layer hierarchical control architecture is used. The high-layer is the zone intelligent controller (ZCA) deciding key intersection and adjusting common cycle length real-time. The low-layer is constructed by intersection...
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