This article describes the application of a multiobjective evolutionary algorithm for locating
roadside infrastructure for vehicular communication networks over realistic urban areas. A …

This article describes the application of a computational intelligence technique for locating
roadside infrastructure for vehicular networks over realistic urban areas. A multi-objective …

This article analyzes the use of two parallel multi-objective soft computing algorithms to
automatically search for high-quality settings of the Ad hoc On Demand Vector routing …

Nowadays, vehicles have become more and more intelligent and equipped with highly
sophisticated systems. This allows them to communicate with each other and with the …

Finding the best path between a given source and a destination in a road network is an
important problem. It has its applications in various map services and commercial navigation …

We study the problem of vehicle scheduling in urban public transport systems taking into
account the vehicle-type and size (VTSP). It is modeled as a multiobjective combinatorial …

Vehicular ad hoc networks (VANETs) are a fundamental component of intelligent
transportation systems in smart cities. With the support of open and real-time data, these …

In this paper we present a novel tool, using both OpenMP and MPI protocols, for optimising
the efficiency of Urban Transportation Systems within a defined catchment, town or city. We …

In this paper, we present a multi-objective shortest path evolutionary algorithm for
comprehensive solutions to real-world manifestations of the classical vehicle routing …

This work investigates levels of service in urban transportation coupling a multi-objective
evolutionary algorithm with the multi-agent traffic simulator MATSim. The evolutionary …