Machine learning applications in activity-travel behaviour research: a review

ANP Koushik, M Manoj, N Nezamuddin - Transport reviews, 2020 - Taylor & Francis
This paper reviews the activity-travel behaviour literature that employs Machine Learning
(ML) techniques for empirical analysis and modelling. Machine Learning algorithms, which …

Battery electric vehicles in Japan: Human mobile behavior based adoption potential analysis and policy target response

H Zhang, X Song, T ** the Jitney network with smartphones in Accra, Ghana: the AccraMobile experiment
S Saddier, Z Patterson, A Johnson… - Transportation …, 2016 - journals.sagepub.com
A data collection exercise is presented that was conducted by the Department of Transport
of the Metropolitan Assembly of Accra, Ghana, to further its knowledge of transportation …

Automatic physical activity and in‐vehicle status classification based on GPS and accelerometer data: A hierarchical classification approach using machine learning …

K Lee, MP Kwan - Transactions in GIS, 2018 - Wiley Online Library
Due to the advancement of tracking technology, a large quantity of movement data has been
collected and analyzed in various research domains. In human mobility and physical activity …

Identifying transportation modes from raw GPS data

Q Zhu, M Zhu, M Li, M Fu, Z Huang, Q Gan… - … Conference of Young …, 2016 - Springer
Abstract Raw Global Positioning System (GPS) data can provide rich context information for
behaviour understanding and transport planning. However, they are not yet fully understood …

Development of people mass movement simulation framework based on reinforcement learning

Y Pang, T Kashiyama, T Yabe, K Tsubouchi… - … research part C …, 2020 - Elsevier
Understanding individual and crowd dynamics in urban environments is critical for
numerous applications, such as urban planning, traffic forecasting, and location-based …

Assessing the Continuous Causal Responses of Typhoon-related Weather on Human Mobility: An Empirical Study in Japan

Z Zhiwen, H Wang, Z Fan, R Shibasaki… - Proceedings of the 32nd …, 2023 - dl.acm.org
To understand human mobility following the typhoon, analyzing the causal impact of
extreme typhoon weather on human mobility is important for disaster emergency …

Identifying temporal and spatial characteristics of residents' trips from cellular signaling data: Case study of Bei**g

Z Li, L Yu, Y Gao, Y Wu, G Song… - Transportation research …, 2018 - journals.sagepub.com
This study developed a method to extract valid temporal and spatial characteristics of
residents' trips based on cellular signaling data to support urban transportation planning …