Predicting the Place Visited of Floating Car
A Three-Layer Framework Using Spatiotemporal Probability
Bibliographic Data
| ID | 22032086 |
|---|---|
| Authors | Wenwen He (0000-0002-0580-2067, Wuhan University), Fu Ren (0000-0002-5460-9909, Wuhan University, corresponding author) |
| Year | 2021 |
| Volume | 10 |
| Issue | 10 |
| Pages | 663 |
| Publication date | 2021-10-01 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | ISPRS International Journal of Geo-Information (JOURNAL) |
| Journal identifiers | ISSN: 2220-9964 • E-ISSN: 2220-9964 |
| Publisher | MDPI AG (PUBLISHER • IT) |
| DOI | 10.3390/ijgi10100663 |
| OpenAlex | W3203296916 |
| Language | EN |
| References cited | 25 |
Human-flow pattern can reflect the urban population mobility and the urban operating state. Understanding the trajectory of urban-population moving patterns can improve the effectiveness of urban-management measures. While most of the existing studies on human moving have placed a huge emphasis on location forecasting through the types of activities humans take part in and urban land-use types, this type of forecasting research is limited to relying on specific activity types and land-use types. The urban-population moving pattern has spatial and temporal characteristics, and this feature greatly affects the prediction of where humans will visit. This study aimed to predict the possible places to visit by using the spatiotemporal model. We analyzed the itinerary characteristics of urban taxis and proposed a model based on the taxi itinerary characteristics to predict the drop-off locations. This model can be used to predict the possible arrival locations of urban taxis. We selected three grids of travel data from each period in another day to test the prediction accuracy of the proposed model. The results show that the model can predict the destination of urban taxis to a certain degree
Civil engineering · Geography · Population · Taxis · Trajectory · Transport engineering · Urban planning · Computer Science · Engineering · Human Mobility and Location-Based Analysis · Transportation and Mobility Innovations · Urban Transport and Accessibility
Rectangular and hexagonal grids used for observation, experiment and simulation in ecology
Who Belongs in the Family
Inferring trip purposes and uncovering travel patterns from taxi trajectory data
Analysis of Washington, DC taxi demand using GPS and land-use data
Revealing intra-urban travel patterns and service ranges from taxi trajectories
| Citation velocity | historical |
|---|---|
| Highly cited | No |