Value of Time estimation considering Automated Vehicle Impacts (VOTAVI)

About

The value of travel time (VOT) is crucial in various areas, such as travel demand modeling, transport policy, and investment evaluation. VOT is influenced by factors like trip purpose, transport mode, and distance traveled, allowing for a more accurate assessment of cost-benefit analyses. The emergence of autonomous modes, like autonomous vehicles (AVs) and Urban Air Mobility (UAM), has transformed the perception of VOT. AVs enable individuals to engage in various tasks while traveling, prompting new challenges in VOT estimation and attracting increased research attention. 

Traditional travel surveys used surveys and data loggers, later transitioning to smartphone apps for digital travel surveys. These apps offer advantages like high user penetration and extensive data collection. However, challenges remain, including limited use of Stated Preference (SP) surveys for individual trips. The VOTAVI project aims to address these challenges by developing an innovative smartphone app for joint Revealed Preference (RP)/ Stated Preference (SP) surveys in the Autonomous Vehicle era, contributing to improved user preference inference and unbiased Value of Time estimation. The app will be developed using the MotionTag SDK: https://api.motion-tag.de/developer/ios. 

Contact

Prof. Dr. Constantinos Antoniou, M.Sc. Saleh Ardameh (PhD Candidate)