Chuanming Chen
Biographic Data
| ID | 6735268 |
|---|---|
| NAME | Chuanming Chen |
| GIVEN NAMES | Chuanming |
| FAMILY NAME | Chen |
| SIGNATURE | CHEN C |
| AFFILIATIONS | Anhui Normal University |
| ORCID | 0000-0002-0296-8192 |
| VERIFIED | Yes |
| TOTAL WORKS | 4 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 4 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2014 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Abnormal-Trajectory Detection Method Based on Variable Grid Partitioning
Abnormal-trajectory detection can be used to detect fraudulent behavior by taxi drivers when carrying passengers. Existing methods usually detect abnormal trajectories based on the characteristics of “few and different”, which require large data sets and, therefore, may identify “few and near” trajectories chosen by drivers according to their driving experience as abnormal situations. This study proposed an abnormal-trajectory detection method ba…
Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading Segmentation
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and map data to make it easier to extract and mine useful information from the data. By performing map matching, data points that cannot be accurately located on the road network can be projected onto the correct r…
Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data
Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents’ travel characteristics and the operational status of urban traffic. The existing clustering methods mainly concentrate on the number of objects contained in an area within a specified size, neglecting the impact of the local density …
The Benefits of Repeated Collaboration for Team Performance in a Chinese Context
With teamwork being the norm since the 1980s, many researchers have conducted studies on the relationships among different characteristics of team performance. We investigated 55 teams formed by 294 Master of Business Administration students at a university in China, asking them to complete a task as part of a team of 3-8 members before filling out surveys to assess repeated collaboration and time pressure. Task performance was assessed by the st…
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The Benefits of Repeated Collaboration for Team Performance in a Chinese Context
With teamwork being the norm since the 1980s, many researchers have conducted studies on the relationships among different characteristics of team performance. We investigated 55 teams formed by 294 Master of Business Administration students at a university in China, asking them to complete a task as part of a team of 3-8 members before filling out surveys to assess repeated collaboration and time pressure. Task performance was assessed by the st…
Urban Hotspot Area Detection Using Nearest-Neighborhood-Related Quality Clustering on Taxi Trajectory Data
Urban hotspot area detection is an important issue that needs to be explored for urban planning and traffic management. It is of great significance to mine hotspots from taxi trajectory data, which reflect residents’ travel characteristics and the operational status of urban traffic. The existing clustering methods mainly concentrate on the number of objects contained in an area within a specified size, neglecting the impact of the local density …
Low-Frequency Trajectory Map Matching Method Based on Vehicle Heading Segmentation
Numerous Global Positioning System connected vehicles are collecting extensive data remotely in cities, enabling data-driven infrastructure planning. To truly benefit from this emerging technology, it is important to combine telematics and map data to make it easier to extract and mine useful information from the data. By performing map matching, data points that cannot be accurately located on the road network can be projected onto the correct r…
Abnormal-Trajectory Detection Method Based on Variable Grid Partitioning
Abnormal-trajectory detection can be used to detect fraudulent behavior by taxi drivers when carrying passengers. Existing methods usually detect abnormal trajectories based on the characteristics of “few and different”, which require large data sets and, therefore, may identify “few and near” trajectories chosen by drivers according to their driving experience as abnormal situations. This study proposed an abnormal-trajectory detection method ba…
Computer Science (4 works) · Artificial Intelligence (3 works) · Data mining (3 works) · Geography (2 works) · Human Mobility and Location-Based Analysis (2 works) · Mathematics (2 works) · Traffic Prediction and Management Techniques (2 works) · Trajectory (2 works) · Abnormality (1 works) · Algorithm (1 works)