Abstract

According to the literature, the path choice decision process of a user of a (road) transport network, named path choice problem (PCP), is composed of two levels/models: the definition of perceived alternative paths (choice set) and the choice of one path in the path choice set. The path choice probability can be estimated with two models: a choice model of the path choice set and a choice model of a path (Mansky paradigm). In this research, the paper’s contribution concerns two elements: extension of the PCP paradigm (two-level models) consolidated in the literature to the route choice decision process (vehicle routing problem (VRP)) and identification of common elements in the PCP and VRP concerning the criteria in the two decision levels and the procedure for route and path selection and choice. The experiment concerns the comparison of observed routes with simulated and optimized routes of commercial vehicles to analyse the level of similarity and coverage. The observed routes are extracted from floating car data (FCD) from commercial vehicles travelling inside a study area inside the Calabria Region (Southern Italy). The comparison is executed in terms of similarity of the sequences of nodes visited between observed routes and simulated/optimized routes.

Highlights

  • The general objective of the research is the modelling of a path and route choice of commercial vehicles travelling on a road network to distribute freight to several destinations in a suburban area

  • The path choice decision process of an individual user of a transport network could be composed of two levels: (a) the definition of perceived alternative paths; (b) the choice of one path in the path choice set

  • path choice problem (PCP) and vehicle routing problem (VRP) have been treated as separate areas in the scientific literature for a long time

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Summary

Introduction

The general objective of the research is the modelling of a path and route choice of commercial vehicles travelling on a road network to distribute freight to several destinations (clients) in a suburban area. A path is a sequence of loopless and consecutive links (of a network) connecting two nodes without planned stops between the two nodes (i.e., in freight distribution, intermediate pickup and delivery points);. A route is a sequence of consecutive paths connecting an initial node and a final node, which could be the same (closed route) (i.e., in freight distribution, the initial and final nodes could be depots; the origins and destinations are intermediate pickup and delivery points). The choice probability of a path, considering the two choice models, (a) and (b), could be estimated according to the Mansky paradigm [1]. A set of criteria (i.e., minimum travel time, travel distance, travel cost, energy consumption) is considered, and one or more paths for each criterion are generated

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