A Framework for Dynamic Advanced Traveler Information Systems

Filippo Carrese,Stefano Carrese,Sergio Maria Patella,Marco Petrelli,Simone Sportiello

doi:10.3390/futuretransp1030031

Abstract

This paper presents the framework for a dynamic Advanced Traveler Information System (ATIS). The ATIS currently in use provides users with stereotyped travel options, but the set of available modes in a given place and time is not the same for each traveler, and such a personal choice set varies within the context of daily trip chains. The research presented in this paper addressed these limitations by including dynamic features in the proposed system. The activity chain that the user performs as well as the personal mode availabilities are modelled simultaneously to define the logical architecture of an innovative information system. Such a technology was intended to assist travelers in performing their daily trip chaining. In order to provide some insight regarding the efficacy of the proposed procedure, a pilot test was performed using real travel time information. Results have shown that the ATIS proposed in this study might generate a significant reduction in travel times.

Highlights

IntroductionAdvanced Traveler Information Systems were born to support users in travel decisions
Advanced Traveler Information Systems were born to support users in travel decisions.In step with the technological advance of these systems, one can observe the progressive adaptation of users to a travel choice made on the basis of information obtained from different sources
Results from a Pilot Test in Rome (Italy). The purpose of this pilot study was to test the efficacy of the dynamic system to provide an optimal mode choice at the activity chain level

Summary

Introduction

Advanced Traveler Information Systems were born to support users in travel decisions. In step with the technological advance of these systems, one can observe the progressive adaptation of users to a travel choice made on the basis of information obtained from different sources. Information on the congestion of the road network, as well as on the expected travel time of public transport, are constantly provided in real time to the community of users. An overview of the current sources of information and their diffusion can be found in Boakye et al [11]. The current generation, that we assume to be the third, consists of applications able to provide real-time information on public and private transport system, able to support multimodal networks, and set to be profiled on the decision maker [12]. By organizing the ATIS experiences into three generations, we have updated and refined the classification of ATIS made by Adler and Blue [13]

Objectives

Results

Conclusion