A fast trajectory outlier detection approach via driving behavior modeling
- WU, Hao
- SUN, Weiwei
- ZHENG, Baihua
DOIAbstract
National Research Foundation (NRF) Singapore under its International Research Centres in Singapore Funding Initiativ
National Research Foundation (NRF) Singapore under its International Research Centres in Singapore Funding Initiativ
This article introduces a new model to identify a group of trajectory outliers from a large trajecto...
Nowadays, logistics for transportation and distribution of merchandise are a key element to increase...
Abstract The majority of fatal car crashes are caused by reckless driving. With the sophistication o...
National Research Foundation (NRF) Singapore under its International Research Centres in Singapore F...
This article introduces two new problems related to trajectory outlier detection: (1) group trajecto...
Prior works on the trajectory outlier detection problem solely consider individual outliers. However...
This paper addresses the taxi fraud problem and introduces a new solution to identify trajectory out...
Taxicabs and rideshare cars nowadays are equipped with GPS devices that enable capturing a large vol...
Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation system...
Abstract — Outlier detection has been a popular data mining task. However, there is a lack of seriou...
© 2019 IEEE. This paper reviews the use of outlier detection approaches in urban traffic analysis. W...
Big trajectory data feature analysis for mobile networks is a popular big data analysis task. Due to...
University of Minnesota M.S. thesis. June 2019. Major: Computer Science. Advisor: Eleazar Leal. 1 co...
Fast development of tracking devices has made trajectory outlier detection(TOD) possible and meaning...
On-board sensors in vehicles are able to capture real-time data representations of variables conditi...
This article introduces a new model to identify a group of trajectory outliers from a large trajecto...
Nowadays, logistics for transportation and distribution of merchandise are a key element to increase...
Abstract The majority of fatal car crashes are caused by reckless driving. With the sophistication o...
National Research Foundation (NRF) Singapore under its International Research Centres in Singapore F...
This article introduces two new problems related to trajectory outlier detection: (1) group trajecto...
Prior works on the trajectory outlier detection problem solely consider individual outliers. However...
This paper addresses the taxi fraud problem and introduces a new solution to identify trajectory out...
Taxicabs and rideshare cars nowadays are equipped with GPS devices that enable capturing a large vol...
Cooperative Intelligent Transport Systems (C-ITS) are emerging in the field of transportation system...
Abstract — Outlier detection has been a popular data mining task. However, there is a lack of seriou...
© 2019 IEEE. This paper reviews the use of outlier detection approaches in urban traffic analysis. W...
Big trajectory data feature analysis for mobile networks is a popular big data analysis task. Due to...
University of Minnesota M.S. thesis. June 2019. Major: Computer Science. Advisor: Eleazar Leal. 1 co...
Fast development of tracking devices has made trajectory outlier detection(TOD) possible and meaning...
On-board sensors in vehicles are able to capture real-time data representations of variables conditi...
This article introduces a new model to identify a group of trajectory outliers from a large trajecto...
Nowadays, logistics for transportation and distribution of merchandise are a key element to increase...
Abstract The majority of fatal car crashes are caused by reckless driving. With the sophistication o...
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