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We revisit the problem of traffic signal control in urban traffic networks. Recent work in the literature has studied the use of scheduling algorithms from communication networks to traffic signal control with the aim of maximising the network throughput. However, these algorithms are unable to capture some of the network characteristics such as protocol constraints or penalties on the control actions,...
Quick response to evacuate residents within a short-notice in bushfire situation is vital, which can save lives. This translates to make a decision on selecting shelters, assigning the vehicles, finding the optimal routes, and schedules for evacuation. This study proposes a model as a decision support system that can determine the required vehicles their schedule and routes to evacuate late evacuees...
Ride sharing schemes aim to reduce the number of cars in congested cities, while providing the participants with a cheaper alternative to solo driving. To ensure a ride-sharing scheme thrives, it is important to maintain a high participation rate. This requires an adequate balance between drivers and riders. And thus ride matches should be proposed which maximize the number of participants. Different...
This paper presents a model of battery powered electric vehicle with computer algorithm for calculation of optimal energy components. The goal of the research was to create a system which can optimize the vehicle battery and motor for the given driving cycle thus minimizing equipment expenses. Furthermore, paper describes tested vehicle, vehicle components modelling, measurement acquisition process,...
In this paper, we investigate the design of stationary ESSs based on supercapacitors (SCs) for metro network (MN). We implement a simulation tool in order to estimate the power flow among the metro vehicles and the ESSs through the MN. A new formulation of the ESSs siting and sizing optimisation problem is proposed and solved using particle swarm algorithm. The optimisation process minimises the energy...
In this paper, we investigate the performances of two different algorithms for calculating the metro vehicles speed profiles minimizing the energy consumption of a given path. The optimization problem, formulated as a Mixed-Integer Nonlinear Programming (MINLP) problem, take into account constraints related to the trip (time-table, distances, acceleration limits, etc.) and constraints related to the...
Hybrid electric vehicles (HEVs) have emerged as near term sustainable technologies to reduce fossil-fuel dependency. The variation in fuel economy (FE) due to the variation in driving patterns exists in hybrid electric vehicles (HEVs). Powertrain component size optimisation based on a methodology considering a range of driving patterns including different traffic conditions and driving styles simultaneously...
The aim of this paper is to assess the safety performance of a lightweight hydrogen fuel cell city concept vehicle entitled Microcab [1]. The Microcab is a lightweight 4 seat hydrogen fuel cell concept vehicle with a combined mass (excluding passengers) of less than 800kg. The Microcab has a range of 180 miles; it includes a hydrogen fuel tank pressurised to 350 bar. The research focuses on urban...
Electric vehicles (EV) require energy storage with high power and high energy-density. A hybrid-storage-system combining battery (high energy density) and ultra-capacitor (high power density) to supply a motor is logical. This paper will present an efficient way of dimensioning the ultra-capacitor of this system. The optimal size is determined by applying real driving cycles to a dynamics simulation...
The European Electronic Toll Service (EETS) allows different possibilities for the overall system design of interoperable toll systems. We study the effect of the overall system design on the operational costs using a model based, holistic, executable specification. The model is set up to give an accurate description of the interdependences as seen in the German toll system. Two different scenarios...
The problem of identifying the 3D pose of a known object from a given 2D image has important applications in Computer Vision. Our proposed method of registering a 3D model of a known object on a given 2D photo of the object has numerous advantages over existing methods. It does not require prior training, knowledge of the camera parameters, explicit point correspondences or matching features between...
We discuss the scenario of developing an optimizer for a given space of problem instances. Standard practice typically resorts to choosing a broad approach (such as evolutionary search), then tuning the optimizer based on example problem instances, and/or hybridizing with domain-specific heuristics and expert knowledge. This will lead to a capable optimizer for the task, but we argue that the delivered...
The logistics network reliability theory is a probability index, which is more accurate to measure the status of the logistics network than absolute indicators. It can provide better decision-making basis for its planning and management. Therefore, study the reliability of logistics systems is essential to parts of the logistics business and even vital for the continued prosperity and stability of...
A smart grid will integrate extensive distributed resources such as local generation sources, Plug-in Hybrid Electric Vehicles (PHEVs) and demand response (DR) programs. By using smart metering, advanced metering infrastructure (AMI) facilitates consumer participation in DR programs and changes the consumption pattern of residential user via tariff schemes for electrical energy. In addition, the smart...
According to the Multi-body Dynamics, the lateral disturbances on high-speed vehicle are simplified as lateral forces and difference torques which act on the cm of the vehicle. And a 3 DOF vehicle model is set up for analyzing. It has theoretical significance on the later researches of high-speed vehicle stability with lateral disturbances to consider the disturbances as lateral forces and difference...
The kinematic and dynamic analysis is applied to the task of controlling and maneuvering the quad-rotor. Here, an evaluation and discussion of the PD (Proportional Derivative) controller is used to navigate the vehicle as it performs basic translational and rotational motions. A comparison is made between the advantages and disadvantages of the controller through the evaluation of the effects of nonlinearities...
The study aims at Supermarket Distribution Problem, a mathematical model is constructed and an ant colony algorithm with tabu search is put forward. The algorithm is tested in combination with Supermarket Distribution Problem. The experimental results indicated that the algorithm solves Supermarket Distribution Problem effectively with quick convergence, avoids local optimum, high precision solution...
In order to optimize pedestrian signal cycle, queuing theory and probability theory were used to build delay model of pedestrian-vehicle system, and then put forward the calculation method of conversion coefficient of pedestrian crowd and vehicles. The delays of pedestrian and vehicle were calculated by equilibrium phase delay formula. The critical volume curves of pedestrian signal for pedestrian...
On context of time-of-use electricity price market, this paper mainly proposes a feasible PHEV charging mechanism for peak load management, the grid's peak load regulation model and PHEV terminal cost model are separately established. In accordance with the mechanism, this paper also puts forward an optimization algorithm based on dynamic estimate interpolation concept. At last, an example is simulated...
Vehicular Ad hoc Networks (VANETs) are a special type of Mobile Ad hoc Networks (MANETs), made by vehicles communicating among themselves, and by vehicles communicating to devices located in the margins of roads and highways. The main characteristic of a VANET is the high speed of network nodes - that can go up to 200 km/h -, and that impacts directly on the ability the network has to deliver data,...
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