This paper deals with formation control strategies based on Virtual Structure (VS) for multi-vehicle systems. We propose several control laws for networked multi-nonholonomic vehicle systems in order to achieve VS consensus, VS Flocking and VS Flocking with collisionavoidance. First, Virtual Vehicle for the feedback linearization is considered, and we propose VS consensus and Flocking control l...

This paper presents a method for solving multi-depot vehicle routing problem (MDVRP). First, a virtual central depot is added to transfer MDVRP to the multi-depot vehicle routing problem with the virtual central depot (V-MDVRP), which is similar to a vehicle routing problem (VRP) with the virtual central depot as the origin. An improved ant colony optimization with coarse-grain parallel strateg...

Tribus b.v. is a company in Utrecht that converts minibuses for multifunctional public transportation. This means that with the same bus both ambulant people and wheelchair occupants can be transported. The multifunctionality lies in the combination of a flexible floor layout and (tip) seats. The floor system is based on separate aluminium profiles that are assembled to form any desired floor l...

For radio-based time-of-arrival (TOA) positioning systems applied in harsh environments, obstacles the surroundings and on vehicle itself will block signals from anchors, reduce number of available TOA measurements thus degrade localization performance. Conventional multi-antenna technique requires a good initialization to avoid local minima, suffers location ambiguity due insufficient and/or p...

The min-max Split Delivery Multi-Depot Vehicle Routing Problem with Minimum Service Time Requirement (min-max SDMDVRP-MSTR) is a variant of the Multi-Depot Vehicle Routing Problem. Each customer requires a specified amount of service time. The service time can be split among vehicles as long as each vehicle spends a minimum amount of service time at a customer. The objective is to minimize the ...

The automotive industry has made much efforts to deliver finished vehicles to customers with speed and reliability. Decreasing the time a vehicle stays within an assembly plant from production release to shipment contributes to reduce the total order lead-time and consequently, the total transportation cost as well. Conventional shipment planning algorithms are limited in accommodating the dyna...

In this paper, we consider a regulation problem of an urban transportation network. From a given timetable, we aim to find a new schedule of multiple vehicles after the detection of a disturbance at a given time. The main objective is to find a solution maximizing the level of service for all passengers. This problem was intensively studied with evolutionary approaches and multi-agent technique...