Intelligent decision support technologies in public and individual transport

Issue title: CogInfoCom-Supported Approaches, Models and Solutions in Surface Transportation

Guest editors: Peter Baranyi, Attila Borsos, Salvatore Cafiso and Marian Tracz

Article type: Research Article

Authors: Winkler, Ágoston^* | Horváth, Balázs

Affiliations: Department of Transport, Széchenyi István University, Győr, Hungary

Correspondence: [*] Corresponding author: Ágoston Winkler, Department of Transport, Széchenyi István University, H-9026 Győr, Hungary. Tel.: +36 30 268 6608; Fax: +36 96 613 561; E-mail: awinkler@sze.hu.

Abstract: Intelligent decision technologies can support travelling as well as planning transport systems. Trip makers have to choose between transport modes and then plan the optimal route which depends on many factors e.g. journey time, walking distances, transfers, waiting times, price of the journey as well as the individual preferences of the trip maker. This paper gives an overview of decisions in both individual and public transport. Then it shows some examples how intelligent cognitive info-communications can support these decisions and how they can be built into passenger information services.

Keywords: Individual transport, public transport, journey planning, decision support, cognitive sciences, passenger information systems

DOI: 10.3233/IDT-170307

Journal: Intelligent Decision Technologies, vol. 11, no. 4, pp. 441-449, 2017