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Abstract
In order to understand and explain the driver’s route choice behaviour under social routing recommendations, namely recommendations aimed at achieving system-level goals, this paper investigates the records obtained from an experiment involving a mobile navigation app that combines route choices
stated by drivers before trips (stated intentions) with their actual behaviour during the trips. We compare the driver’s stated intentions and actual behaviour, examining how the possibility of diversion from the stated choice may help to predict the actual compliance rate. Furthermore, we analyse the factors affecting
social routing behaviour and show that drivers’ route choice before starting the trip, the probability to deviate from the chosen route, and the actual compliance, depend on time sacrifice,
sociodemographic factors, and certain driving habits.
stated by drivers before trips (stated intentions) with their actual behaviour during the trips. We compare the driver’s stated intentions and actual behaviour, examining how the possibility of diversion from the stated choice may help to predict the actual compliance rate. Furthermore, we analyse the factors affecting
social routing behaviour and show that drivers’ route choice before starting the trip, the probability to deviate from the chosen route, and the actual compliance, depend on time sacrifice,
sociodemographic factors, and certain driving habits.
Original language | English |
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Title of host publication | 2023 8th International Conference on Models and Technologies for Intelligent Transportation Systems, MT-ITS 2023 |
Publisher | IEEE |
Number of pages | 6 |
ISBN (Electronic) | 978-1-6654-5530-5 |
DOIs | |
Publication status | Published - 2023 |
MoE publication type | A4 Conference publication |
Event | IEEE International Conference on Models and Technologies for Intelligent Transportation Systems - Nice, France Duration: 14 Jun 2023 → 16 Jun 2023 Conference number: 8 https://mt-its2023.eurecom.fr/ |
Conference
Conference | IEEE International Conference on Models and Technologies for Intelligent Transportation Systems |
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Abbreviated title | MT-ITS |
Country/Territory | France |
City | Nice |
Period | 14/06/2023 → 16/06/2023 |
Internet address |
Keywords
- compliance rate
- social routing behaviour
- navigation apps
- discrete choice modelling
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AlforLEssAuto: Artificial Intelligence for Urban Low-Emission Autonomous Traffic (AIforLEssAuto)
Roncoli, C. (Principal investigator)
EU The Recovery and Resilience Facility (RRF)
01/01/2022 → 31/12/2024
Project: RCF Academy Project