Abstract

International audience; This paper proposes a framework for quantifying the macroscopic impacts of delivery goods made by double-parked vehicles in urban arterial using microscopic simulation. It is applied to a real urban corridor: the Lafayette Avenue in Lyon (France). The framework combines traffic states with stochastic and microscopic freight demand generation model, i.e. the delivery movements and the delivery duration. Cooperative and competitive scenarios are considered. Impacts of goods delivery have been captured in a traffic evaluation model. The results of these configurations’ assessment are discussed. Finally, practical implications for transport planners are highlighted.

Abstract

International audience; This work proposes a stochastic model for integrating service and maintenance policies in order to address the queuing problem and the cost of maintenance for public transport systems. The authors adopt the following approaches: (i) a cost-model that considers the uncertainty of passengers’ plans to compute the waiting time; (ii) a maintenance cost-model which take into account two different maintenance policies (periodic block-type and age-based); and (iii) a bi-objective optimisation process to bring together the service and maintenance policies. Finally, the proposed work is applied to a massive-urban ropeway belonging to a public transportation system, in which the current service policy has been evaluated, considering the established transportation operation.

Abstract

The article presents a valuable concept seeking to solve the problem of demand uncertainty in intermodal transport. Regular traffic is quite important for moving containers, trailers and swap bodies. To keep regularity with uncertain demand means to have backlogs or empty space. Both of them are inefficient from an economical point of view. In practice, a day‐by‐day demand forecast is meaningful only for the next two or three days. This poses serious allotment management problems to freight forwarders and shippers since long‐term contract allotments need to be planned many months ahead. The article presents a stochastic dynamic programming model for a short‐term allotment planning a model that would be very valuable for implementing intermodal solutions. The presented model evaluates optimal cost policy based on the economic trade‐off between the cost of backlogged shipment and the cost of acquiring additional allotment. First published online: 27 Oct 2010 Document type: Article