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Machine learning applications in activity-travel behaviour research: a review
This paper reviews the activity-travel behaviour literature that employs Machine Learning
(ML) techniques for empirical analysis and modelling. Machine Learning algorithms, which …
(ML) techniques for empirical analysis and modelling. Machine Learning algorithms, which …
An automated GPS-based prompted recall survey with learning algorithms
Using GPS technology in the collection of household travel data has been gaining
importance as the technology matures. This paper documents recent developments in the …
importance as the technology matures. This paper documents recent developments in the …
[HTML][HTML] Spatiotemporal analysis of activity-travel fragmentation based on spatial clustering and sequence analysis
In this study using data from the 2017 National Household Travel Survey in California from
26,078 survey participants, sequence analysis is used to estimate a fragmentation indicator …
26,078 survey participants, sequence analysis is used to estimate a fragmentation indicator …
[HTML][HTML] A spatial microsimulation approach for the analysis of commuter patterns: from individual to regional levels
The daily trip to work is ubiquitous, yet its characteristics differ widely from person to person
and place to place. This is manifested in statistics on mode and distance of travel, which vary …
and place to place. This is manifested in statistics on mode and distance of travel, which vary …
Exploration of statewide fragmentation of activity and travel and a taxonomy of daily time use patterns using sequence analysis in California
Sequence analysis is used in this paper to measure fragmentation in activity participation
and travel. Fragmentation here is defined as the sequencing of many short and long …
and travel. Fragmentation here is defined as the sequencing of many short and long …
Analysis of variability in multi-day GPS imputed activity-travel diaries using multi-dimensional sequence alignment and panel effects regression models
J **anyu, S Rasouli, H Timmermans - Transportation, 2017 - Springer
The use of GPS devices and smartphones has made feasible the collection of multi-day
activity-travel diaries. In turn, the availability of multi-day travel diary data opens up new …
activity-travel diaries. In turn, the availability of multi-day travel diary data opens up new …
Network-oriented household activity pattern problem for system optimization
The recently emerging trend of self-driving vehicles and information sharing technologies,
made available by private technology vendors, starts creating a revolutionary paradigm shift …
made available by private technology vendors, starts creating a revolutionary paradigm shift …
Evidence-based transport policy analysis driven by agent-based simulation: The case of mobility in Ústí nad Labem
There is a raise in public awareness on environmental and health issues in recent years,
therefore many municipalities changed their transport policy direction to become more …
therefore many municipalities changed their transport policy direction to become more …
Activity and transportation decisions within households
Several disciplines have developed independent streams of research on household
decision-making. They cover topics ranging from labor supply, time and task allocation, and …
decision-making. They cover topics ranging from labor supply, time and task allocation, and …
Individual perception of smart city strategies
O Přibyl, T Horák - 2015 smart cities symposium Prague (SCSP …, 2015 - ieeexplore.ieee.org
The term Quality of Life is essential in understanding the outcome of smart city initiatives.
According to several definitions, it is one of the major objectives of activities in the area of …
According to several definitions, it is one of the major objectives of activities in the area of …