Active research project

Value of Time estimation considering Automated Vehicle Impacts (VOTAVI)

Project Focus
Value of Travel Time (VOT) estimation in the context of automated and emerging mobility, combining advanced survey methods with digital data collection.

Key Questions to Explore

  • → What is the impact of AVs on modal split?
  • → How does the introduction of AVs influence the estimated Value of Time (increase or decrease)?
  • → What behavioral and attitudinal factors affect VOT estimates?
  • → How do web-based and mobile-app-based data collection methods differ in terms of results and reliability?
TUM — Transportation Systems Engineering LISER — Luxembourg Behavioral modeling & policy
VOTAVI data flow and backend architecture diagram
High-level data flow across survey services, mobile app, MotionTag, and backend infrastructure.
Research

Goal & contribution

Integrating survey-based stated preferences with context-rich mobility traces to advance VOT estimation.

Methodology

The Value of Time reflects how travelers trade off time and money to maximize utility — how much they would pay to save time (or accept as compensation for time lost).

VOTAVI contributes by combining survey-based stated preferences with context-rich mobility traces to improve VOT estimation for emerging and automated mobility.

  • Web-based survey design and participant recruitment
  • Smartphone app for passive mobility data collection
  • Back-end infrastructure for synchronization and preprocessing
  • Behavioral modeling and transport policy analysis

Mobile application

The iOS application combines a MotionTag SDK layer for trajectory collection with a web component for surveys.

Mobile app structure diagram
iOS shell, MotionTag SDK, and embedded web-based survey component.
People

Research team

The team behind VOTAVI at the Technical University of Munich.

Saleh Ardameh

Saleh Ardameh

PhD Candidate & Research Associate

  • Institution Technical University of Munich (TUM)
  • School TUM School of Engineering and Design (ED)
  • Department Mobility Systems Engineering
  • Chair Transportation Systems Engineering (TSE)
Dr. Mohamed Abouelela

Dr. Mohamed Abouelela

Head of Transport Data Analytics Research Group

  • Editorial Associate Editor, Journal of Urban Mobility
  • Institution Technical University of Munich (TUM)
  • School TUM School of Engineering and Design (ED)
  • Department Mobility Systems Engineering
  • Chair Transportation Systems Engineering (TSE)
Prof. Constantinos Antoniou

Univ.-Prof. Dr. Constantinos (Costas) Antoniou

Full Professor, Chairholder · Academic Program Director, Mobility

  • Editorial Co-Editor-in-Chief, Transportation Research Part A
  • Institution Technical University of Munich (TUM)
  • School TUM School of Engineering and Design (ED)
  • Department Mobility Systems Engineering
  • Chair Transportation Systems Engineering (TSE)