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Program

Program Overview



12th International Conference on Transport Survey Methods
Program Overview

 Program Overview ISCTSC2020 10032022

 

 

Workshop List



Workshops A (Monday to Tuesday)


A1 - Commercial trips patterns and demand for goods from firms and households

Chairs: Mathieu GARDRAT


A3 - Public transport: leveraging household survey data and fare collection data

Chairs: Martin TRÉPANIER, Marcela MUNIZAGA

A5 - Measuring Attitudes and Perceptions in Large Scale (Quantitative) Surveys

Chairs: Martin KAGERBAUER, Miriam MAGDOLEN

A6 - Recent advances and new challenges in Stated Preference surveying methods

Chairs: Cinzia CIRILLO, Javier BAS

A9 - Passive, Sensor and Network Data Sources: Challenges and Opportunities

Chairs: Adrian ELLISON

A10 - Mixed Modes and Devices - Integrating Technology into Traditional National Travel Surveys

Chairs: Caroline BAYART, Marcelo SIMAS

A12 - Sampling, Nonresponse, and Quality in Travel Surveys

Chairs: Jimmy ARMOOGUM, Jean-Loup MADRE, Rico WITTWER



Workshops B (Wednesday to Thursday)


B7 - How to collect and use longitudinal data?

Chairs: Bastian CHLOND, Sascha HOOGENDOORN-LANSER

B8 - Smartphones in travel surveys

Chairs: Rico KRUEGER, Zachary PATTERSON

B11 - Generating More Than a Sum of Parts: Data Fusion

Chairs: Tobias KUHNIMHOF, Mario COOLS

B13 - Understanding the mobility decision process: revealing attitudes, motivations, and intentions

Chairs: Claire PAPAIX

B14 - Activity Tracker and Data Collection Enrichment

Chairs: Muhammad Ahsan HABIB, Juliane STARK

B15 - Innovations in Travel Survey Collection to Support Long Distance and Tourism Travel Analyses

Chairs: Jeffrey LAMONDIA, Chandra BHAT

B16 - Virtual reality, visualization and interactivity in travel survey, where we are and possible future directions

Chairs: Elisabetta CHERCHI, Bilal FAROOQ

 

 

Keynotes


João Paulo Costeira

João Paulo Costeira

Title: Computer Vision Technologies and the Citizen: How massive visual sensing will change the way we "see" our selves. What the infrastructure sees, people can feel.

Bio: João Costeira is Associate Professor at IST and researcher of the Instituto de Sistemas e Robotica, where he served he served as deputy president (2014-2016) and coordinates the Signal and Image Processing (SIPg) since 2012. His research interests are in the area of visual recognition and 3D reconstruction from images. Jointly with CMU and IST, he holds a US/China patent request of a vehicle counting system from low resolution images, and was recipient of an unrestricted gift from Adobe Research Inc. in recognition for his contributions in the area. Since 2019 João Costeira integrated the H2020 project AI4EU that aims to create a European AI-on-demand platform and ecosystem, networking researchers companies and institutions at the European level. He is co-leader of the "Physical AI" task, which in cooperation with industry partners will develop AI tools for city-scale scale scenarios focusing on air quality assessment and control.


 

Felix SiebertFelix Siebert

Title: Using computer vision to assess safety related behavior of road users – scaling data collection to regions and countries

Abstract:

Accurate knowledge of road users' safety-related behavior forms the basis of all evidence-based transport policy. Computer vision has been proposed as a tool for collecting behavioral data directly in the road system. But while relatively accurate methods for e.g. the detection of motorcycle helmets have been developed, they do not scale well, i.e. at location video data collection is still required. At the same time, large scale, crowd-sourced image data collected within the road system is readily available, but data quality varies substantially. We have developed a computer vision-based approach for efficiently processing large, crowd-sourced datasets, enabling region- and county-wide registration of road users’ safety related behaviors. For the example of motorcycle safety, our approach can generate highly accurate, location specific data on motorcycle helmet use and over-capacity riding, using a state-of-the-art computer vision algorithm. Data can be used to inform policy makers and road safety actors for legislation and education campaigns.

Bio: Felix Siebert is an Assistant Professor for transport psychology at the Department of Technology, Management and Economics at the Technical University of Denmark. His main research interest is the safety-related behavior of motorcyclists in low- and middle-income countries. Felix has conducted motorcycle helmet use studies in Indonesia, Madagascar, Myanmar, Nepal, and Tanzania with the WHO and local NGOs. More recently, he has applied computer vision for the automated detection of motorcycle helmet in video data.

 

 

 

 

Venue

Hotel Golf Mar
Praia de Porto Novo
Maceira - TVD Lisboa
560-100 Portugal

Abreu Events

Professional Congress Organizer
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+351 21 415 6258
Av. 25 de Abril, nº 2, 2799-556
Linda-a-Velha, Portugal