Solving the Inventory Location-Routing Problem can been seen as an approach to optimize both a supply chain design and its operations costs. Assumptions consider that vehicles might visit more than one retailer per route and that inventory management decisions are included for a multi-depot, multi-retailer system with storage capacity over a discrete time planning horizon. The problem is to det...

Cooperative Intelligent Transportation Systems (C-ITS) are complex systems well-suited to a multi-agent modeling. We propose a multi-agent based modeling of a C-ITS, that couples 3 dynamics (physical, informational and control dynamics) in order to ensure a smooth cooperation between non cooperative and cooperative vehicles, that communicate with each other (V2V communication) and the infrastru...

The localization of a vehicle with the use of SLAM techniques (Simultaneous Localization And Mapping) has been extensively studied during the last 20 years. However, only a few approaches have tried to extend these algorithms to a fleet of vehicles despite the many potential applications. It is the objective of this thesis. First of all, a monocular SLAM for a single vehicle has been developed....

many studies have been done on hybrid vehicles in the past few years. the full hybrid vehicles need a large number of batteries creating up to 300 (v) to meet the required voltage of electric motor. the size and weight of the batteries cause some problems. this research investigates the mild hybrid vehicle. this vehicle includes a small electric motor and a high power internal combustion engine...

This paper presents a multi-objective optimization model for the design of a waste management system consisting of customers, transfer stations, landfills and collection vehicles. The developed model aims to simultaneously minimize the total costs, greenhouse gas emissions and the rates of energy consumption. To tackle the multiple objectives in the problem, we utilize an interactive fuzzy prog...

We present a unified formulation for describing the dynamics of a new class of aquatic multi-body soft robots. This formulation accounts for the continuum hyperelastic nature of the vehicles and for the interaction with the dense fluid across which they dwell. We start by introducing the highly unconventional design concept of a soft underwater vehicle inspired by the octopus capable of swimmin...

In many applications of the vehicle routing problem with time windows(VRPTW), the primary objective is defined as the minimization of the number of routes or vehicles. Minimization of the total travel cost is introduced as a secondary objective. Recently, it has been recognized that minimizing the number of routes and the travel cost concurrently often drives a search toward solutions with low ...

Electric vehicles (EVs) are an emerging type of mobile intelligent power consumption devices in Smart Grid as new green transport tools. In order to provide a powerful automation and intelligence support for wide area electric vehicles energy service network, we analyze the network infrastructure and communications demands of various terminals, devices and monitoring systems distributed in wide...

Enhanced autonomy in Unmanned Vehicles (UV) has given human operators the ability to move from teleoperation to supervisory control of single vehicles, and now multi-vehicle coordination. This research seeks to leverage task-based interfaces, where the human operator guides a fleet of decentralized UVs via high-level goals as opposed to individual vehicle control. In such decentralized control ...

In this paper, we continue addressing the multi-region distribution problem of petroleum products in large quantities involving the use of a fleet of tankers parked in depots. This heterogeneous fleet consists of vehicles owned by the company or of renting, non-compartmentalized and without volumeters, to serve customers from removal sites. The objective is to minimize transportation cost while...