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The use of truck-and-trailer systems is an attractive solution to boost the load carrying capacity of land transportation vehicles. However, the steering of such system is problematic due to the lack of sufficient degree-of-freedoms in the available control. The difficulty further increases when obstacles are encountered in the working space. Here, the virtual-robot tracking strategy and force field...
This paper models a vehicle routing problem applied in Singapore transportation situation. It is close to the classical vehicle routing problem with time windows, but with two special characteristics. Firstly, the routes are designed for vehicles to serve the customers in a practical map modeled with a set of roads and junctions. Secondly, in order to manage the traffic conditions, the special Electronic...
Electrical storage devices can be very useful in electrified mass transit and in particular in trolleybus lines and tramways. In fact, storage devices are capable of supporting the line voltages of old lines, avoiding the opening of minimum voltage protective relays, especially when the new generation vehicles of greater power circulate. Among electrical storage devices, supercapacitors seem to be...
In this paper, it is presented a methodology for solving the Vehicle Routing Problem with Pickup and Delivery and Time Windows (VRPPDTW). The proposed methodology can be divided in two phases, i.e, the construction phase and the refinement phase. In the construction phase, the generation of an initial solution is made through Ant Colony Optimization (ACO) meta-heuristic with the elitism concept. Only...
This paper presents a novel navigation and motion planning algorithm for mobile vehicles in rough terrains. The main purpose of the algorithm is to generate feasible trajectories while selecting smoother paths, in the sense of level of roughness, toward the goal position. The purpose is achieved by adapting the passivity-based model predictive control optimization setup (PB/MPC), recently proposed...
The STEEM project is a research and experimentation project in public transport. Its goal is twofold: increase tramway systems energy efficiency and allow a vehicle to run without overhead contact lines. It associates a tram manufacturer (Alstom), a public transport operator (RATP) and a public research laboratory (INRETS) with the financial support of the French governmental agency ADEME under a...
The paper studies the effects of control and prediction horizons on a multimodal traffic regulation strategy. The strategy acts on traffic lights in order to regulate Private Vehicle (PV) traffic by minimizing their number in the network and to regulate the Public Transport (PT) traffic by maximizing their schedule adherence. The strategy architecture is based on an automatic closed loop and uses...
Although traffic congestion is a pressing problem that drivers face every day, improving the traffic flow does not always create a healthy environment to the people residing in the neighborhood of the freeway. Improved traffic flow neither means efficient fuel consumption of the vehicles. Moreover, reduction of total emissions or travel times in a traffic network does not always guarantee reduction...
We consider a hierarchical control approach for Intelligent Vehicle Highway Systems (IVHS), in which intelligent automated vehicles organized in platoons drive to their destination, controlled by a hierarchical control framework. In this framework there are several levels of controllers starting from on-board controllers inside the vehicles, over platoon controllers, to roadside and area controllers,...
The application of a Moving Horizon Estimator (MHE) to the problem of vehicle side-slip angle estimation is studied. In particular, this work focuses on how MHEs can be designed in order to provide estimates of the variable of interest with guaranteed estimation error. The problem is solved using a nonlinear regression observer identified directly from data.
This paper presents model predictive control of a vehicle in a varying road-traffic environment for ecological (eco) driving. The vehicle control input is derived by rigorous reasoning approach of model based anticipation of road, traffic and fuel consumption in a crowded road network regulated by traffic signals. Model predictive control with Continuation and generalized minimum residual method for...
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...
An evolutionary Multi-Objective Algorithm (MOA) is used to investigate the trade-off between CO2 savings, distance and number of vehicles used in a typical vehicle routing problem with Time Windows (VRPTW). A problem set is derived containing three problems based on accurate geographical data which encapsulates the topology of streets as well as layouts and characteristics of junctions. This is combined...
This paper focuses on the analysis of bus crew and vehicle scheduling under the management system commonly-seen in China. With considerations of management rules in practice and related regulations in China, this study proposes a bi-level multi-objective programming model for optimizing the crew and vehicle scheduling for the operation of public bus system. The developed model first estimates the...
Transportation division plays an important role of emission of carbon dioxide. Improvement of fuel efficiency is a direct and valid approach for solving the above-mentioned problem. For decreasing the fuel consumption of vehicles moving on highway, the proper driving strategies are essential. In this paper, an optimization method for vehicle fuel-efficient driving strategies on highway is proposed...
This paper is talking about Open Capacitated Arc Routing Problem,which is a combinational optimization problem.The objective is mainly to search for a solution of minimum cost.
Safe handling of dynamic highway and inner city scenarios with autonomous vehicles involves the problem of generating traffic-adapted trajectories. In order to account for the practical requirements of the holistic autonomous system, we propose a semi-reactive trajectory generation method, which can be tightly integrated into the behavioral layer. The method realizes long-term objectives such as velocity...
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...
In the guidance of thinking of conditional bus priority based on timetable, combined with traditional average traffic delay model and existing typical cross intersection situation, in this paper authors study a conditional bus priority signal setting model based on running timetable, by implementation effect of simulation verification, draw a conclusion that model effect is optimal.
As the tracked vehicles often run in harsh environments, a certain type of tracked vehicles with hydrodynamic and hydrostatic steering mechanism often have a big pressure fluctuation in the hydrostatic system in the steering process and the steering properties are seriously affected. In order to smoothly match the hydrodynamic and hydrostatic steering mechanism, we implemented the electro-hydraulic...
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