The opportunities offered by telematics development and the features required by travellers moving on more complex multimodal transit networks push to investigate new methods for generating path advice in transit trip planners. First, the study focuses on characteristics and limits of the methods used by current trip planners for path generation and then analyses the new methods applied by a new generation of trip planners (most at the prototypical developing stage). These methods use a group or, better, an individual traveller utility function, which allows personal preferences to be pointed out. As the individual utility functions in the transport modelling literature has been largely neglected, the second part of the study reports the state-of-the-art and some theoretical considerations on individual path utility function modelling, and recalls the approaches developed for including individual utility in new trip planners. Further, the results of individual utility function estimations, using surveys relative to the city of Rome, are presented and some aspects of the utility function calibration, including the info provider learning process of traveller preferences, are explored. The analyses show a significant improvement in using individual functions for path advice and a substantial influence of network complexity on the learning process.

Nuzzolo, A., & Comi, A. (2016). Individual utility-based path suggestions in transit trip planners. IET INTELLIGENT TRANSPORT SYSTEMS, 10(4), 219-226 [10.1049/iet-its.2015.0138].

Individual utility-based path suggestions in transit trip planners

NUZZOLO, AGOSTINO;COMI, ANTONIO
2016-05-01

Abstract

The opportunities offered by telematics development and the features required by travellers moving on more complex multimodal transit networks push to investigate new methods for generating path advice in transit trip planners. First, the study focuses on characteristics and limits of the methods used by current trip planners for path generation and then analyses the new methods applied by a new generation of trip planners (most at the prototypical developing stage). These methods use a group or, better, an individual traveller utility function, which allows personal preferences to be pointed out. As the individual utility functions in the transport modelling literature has been largely neglected, the second part of the study reports the state-of-the-art and some theoretical considerations on individual path utility function modelling, and recalls the approaches developed for including individual utility in new trip planners. Further, the results of individual utility function estimations, using surveys relative to the city of Rome, are presented and some aspects of the utility function calibration, including the info provider learning process of traveller preferences, are explored. The analyses show a significant improvement in using individual functions for path advice and a substantial influence of network complexity on the learning process.
Pubblicato
Rilevanza internazionale
Articolo
Esperti anonimi
Settore ICAR/05 - Trasporti
English
Con Impact Factor ISI
intelligent transportation systems; parameter estimation; planning (artificial intelligence); travel industry; learning (artificial intelligence); prototypical developing stage; personal preference; transport modelling literature; path utility function estimation; path generation; utility-based path suggestion; user tracing; utility function specification; path utility function modelling; complex multimodal transit network; current trip planner; info provider learning process; path advice; group utility path function; path choice; individual traveller utility function; transit trip planner; telematics development; parameter estimation; traveller preference
http://ietdl.org/t/4vXnV
Nuzzolo, A., & Comi, A. (2016). Individual utility-based path suggestions in transit trip planners. IET INTELLIGENT TRANSPORT SYSTEMS, 10(4), 219-226 [10.1049/iet-its.2015.0138].
Nuzzolo, A; Comi, A
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Utilizza questo identificativo per citare o creare un link a questo documento: http://hdl.handle.net/2108/136384
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