Traveler-Oriented Advanced Traveler Information System based on Dynamic Discovery of Resources: Potentials and Challenges

Kem, Oudom; Balbo, Flavien; Zimmermann, Antoine

doi:10.1016/j.trpro.2017.03.059

Cited by 12 publications

(2 citation statements)

References 16 publications

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“…Specifically, the Advanced Traveller Information System (ATIS), as an integral part of the above-mentioned functional area, aims to support the traveller in multimodal travel planning. Because of the increasingly complex requirements of modern users, ATIS plays a significant role in intelligent mobility [27][28][29].…”

Section: Multimodal Journey Plannersmentioning

confidence: 99%

The Importance Of Open Data Accessibility For Multimodal Travel Improvement*

Mandžuka¹,

Vidović²,

Vujić³

et al. 2022

Interdisciplinary Description of Complex Systems

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Section: Multimodal Journey Plannersmentioning

confidence: 99%

The Importance Of Open Data Accessibility For Multimodal Travel Improvement*

Mandžuka¹,

Vidović²,

Vujić³

et al. 2022

Interdisciplinary Description of Complex Systems

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“…Furthermore, most ATISs have two drawbacks, which are insufficiently personalized services and carelessness of traveler diversity. Although improvements are made to overcome them by considering traveler's preferences and variety (Arentze 2013;Ceder and Jiang 2020;Kem, Balbo, and Zimmermann 2017;Nuzzolo et al 2014Nuzzolo et al , 2013, passenger perception of route attributes has not been given enough emphasis to date. Thus, the alternative routes recommended by ATISs may not suit all passengers.…”

Section: Introductionmentioning

confidence: 99%

How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro

Cheng

Fujiyama

2021

Transportation Letters

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Interchange provides more flexibility in route choice, a key travel behaviour in urban rail transit, but its influence is usually simplified. This paper investigates how interchange affects route choice with passenger perception considered. At single-interchange level, perceived interchange time was proposed and modelled under three resolutions to capture passenger perception and its sensitivity. At route level, the influence of interchange was modeled by first comparing eight quantifications of interchange. Mixed logit models with the best interchange proxy were further developed to address the correlation among alternative routes and reveal the potential taste variations among passengers. Results based on Shanghai Metro data showed perceived interchange time, including passenger perception and interchange environment, better represents the influence of interchange in route choice, meanwhile the weights of interchanges on one route rise sequentially and non-linearly. The results can improve route choice prediction in demand modelling and route recommendation in advanced traveller information systems.

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SafeTransit: A Transit Safety Information Gathering Decision System

Odumuyiwa

2018

Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

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Traveler-Oriented Advanced Traveler Information System based on Dynamic Discovery of Resources: Potentials and Challenges

Cited by 12 publications

References 16 publications

The Importance Of Open Data Accessibility For Multimodal Travel Improvement*

The Importance Of Open Data Accessibility For Multimodal Travel Improvement*

How does interchange affect passengers’ route choices in urban rail transit? – a case study of the Shanghai Metro

SafeTransit: A Transit Safety Information Gathering Decision System

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