A GRASP-based Approach for Demand Responsive Transportation

A demand-responsive decision support system for coal transportation

In this paper, a demand-responsive decision support system is proposed by integrating the operations of coal shipment, coal stockpiles and coal railing within a whole system. A generic and flexible scheduling optimisation methodology is developed to identify, represent, model, solve and analyse the coal transport problem in a standard and convenient way. As a result, the integrated train-stockp...

A Metaheuristics based Simulation Tool to Optimize Demand Responsive Transportation Systems

Public passenger transport is an important area that affects our quality of life. The design of routes and frequencies of such systems is very important to ensure their economic viability. The work presented in this paper focuses on the design of a software tool that assists in the creation of routes and schedules of passenger transport systems. For this, we have developed an application that i...

A Decentralised Approach for the Transportation On Demand Problem

Public transport systems are generally organized in a static, a priori way. In such systems, the demand must be adapted to the offer. In this paper, we propose a model based on self-organization in order to dispatch a fleet of vehicles in a purely dynamic Transportation On Demand system (TOD). Our proposal consists in a decentralized approach and a multi-agent system (MAS) to model the environm...

A Decentralized Management Approach for On-Demand Transit Transportation System

Multi-objective Evolutionary Approach for Optimizing a Demand Responsive Transport

In this paper, we address the Demand Responsive Transport (DRT) services. A DRT is a flexible transportation service that provides transport on demand, being especially useful in sparsely inhabited areas, which deal with a lack of transportation service. Users formulate requests specifying desired locations and times of pickup and delivery. The vehicle routes are planned and scheduled based on ...