Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Zengxiang Lei"'
Publikováno v:
EPJ Data Science, Vol 13, Iss 1, Pp 1-22 (2024)
Abstract Estimation of people’s home locations using location-based services data from smartphones is a common task in human mobility assessment. However, commonly used home detection algorithms (HDAs) are often arbitrary and unexamined. In this st
Externí odkaz:
https://doaj.org/article/6e3e300b6d4d4c4a8520e9b3df0b756b
Autor:
Mingyi He, Urwa Muaz, Hong Jiang, Zengxiang Lei, Xiaowei Chen, Satish V. Ukkusuri, Stanislav Sobolevsky
Publikováno v:
The European Physical Journal Special Topics. 231:1655-1671
Autor:
Zengxiang Lei, Satish V. Ukkusuri
Publikováno v:
Journal of Big Data Analytics in Transportation. 4:1-21
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Autor:
Satish Ukkusuri, Stanislav Sobolevsky, Milind Kulkarni, Zengxiang Lei, Jiawei Xue, Xinwu Qian, Charitha Saumya, Xiaowei Chen, Juan Suarez Lopez, Zhenyu Wang, Ramin Saedi Germi, Mingyi He
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d70aaf082331d4e14e15594db5787e78
https://doi.org/10.2172/1859675
https://doi.org/10.2172/1859675
Autor:
Jiawei Xue, Charitha Saumya, Xinwu Qian, Xiaowei Chen, Zengxiang Lei, Mingyi He, Satish V. Ukkusuri, Stanislav Sobolevsky
Publikováno v:
ITSC
Rapid and sustainable development of the electric vehicle (EV) industry places the requirement for the plan of EV deployment. For public EV, existing models mainly focus on the charging facility design and fail to capture the multi-modal scenarios. I
Autor:
Rajat Verma, Zengxiang Lei, Satish V. Ukkusuri, Jiauyen Shen, Jiawei Xue, Hemant Gehlot, Pamela Murray-Tuite
Publikováno v:
ITSC
We investigate the effects of the amount and kind of information received by hurricane evacuees on the level of urban evacuation-induced traffic congestion. With the help of agent-based simulation driven by survey data for evacuees of Hurricane Matth
Publikováno v:
IET Intelligent Transport Systems. 13:756-763
Day-to-day variation of travel demand has been rarely studied, due to the limitation of traditional transport data collection methods and the difficulty in high-dimensional data processing. In this study, singular value decomposition (SVD) is used to
Publikováno v:
IET Intelligent Transport Systems. 11:511-520
As randomly occurring events, traffic accidents pose serious challenges to the collection of comprehensive data to understand how travellers respond to them and to quantify their impacts. The advent of mobile phones, with their wide spatial/temporal