Name
Abstract | ||
|---|---|---|
As an important part of urban management, researchers have made many efforts in accident prediction. The current research mainly considers the impact of the temporal features of traffic flow and the fixed topology of the road on the accident. However, these studies do not consider the changes in the relationship between road spatial features and accidents over time. In order to better achieve the ... |
Year | DOI | Venue |
|---|---|---|
2021 | 10.1109/DASC-PICom-CBDCom-CyberSciTech52372.2021.00068 | 2021 IEEE Intl Conf on Dependable, Autonomic and Secure Computing, Intl Conf on Pervasive Intelligence and Computing, Intl Conf on Cloud and Big Data Computing, Intl Conf on Cyber Science and Technology Congress (DASC/PiCom/CBDCom/CyberSciTech) |
Keywords | DocType | ISBN |
Roads,Computational modeling,Predictive models,Big Data,Transformers,Feature extraction,Real-time systems | Conference | 978-1-6654-2174-4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
9 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Weitao Liu | 1 | 0 | 0.34 |
| Xuanyi Liu | 2 | 0 | 0.34 |
| Hui Feng | 3 | 0 | 0.34 |
| Yiran Wang | 4 | 0 | 0.34 |
| Lintao Guan | 5 | 0 | 0.34 |
| Weifeng Xu | 6 | 0 | 0.34 |
| Guojiang Shen | 7 | 86 | 13.23 |
| Zhi Liu | 8 | 4 | 3.13 |
| Xiangjie Kong | 9 | 425 | 46.56 |