Name
Title | ||
|---|---|---|
Discovery of Critical Nodes in Road Networks Through Mining From Vehicle Trajectories. |
Abstract | ||
|---|---|---|
Road networks are extremely vulnerable to cascading failure caused by traffic accidents or anomalous events. Therefore, accurate identification of critical nodes, whose failure may cause a dramatic reduction in the road network transmission efficiency, is of great significance to traffic management and control schemes. However, none of the existing approaches can locate city-wide critical nodes in... |
Year | DOI | Venue |
|---|---|---|
2019 | 10.1109/TITS.2018.2817282 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Roads,Trajectory,Network topology,Topology,Measurement,Data mining,Vehicle dynamics | Computer vision,Data mining,Traffic flow,Ranking,Centrality,Network topology,Exploit,Cascading failure,Vehicle dynamics,Artificial intelligence,Engineering,Entropy (information theory) | Journal |
Volume | Issue | ISSN |
20 | 2 | 1524-9050 |
Citations | PageRank | References |
1 | 0.36 | 10 |
Authors | ||
6 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ming Xu | 1 | 10 | 2.62 |
| Jianping Wu | 2 | 408 | 53.61 |
| Mengqi Liu | 3 | 15 | 5.32 |
| Yunpeng Xiao | 4 | 33 | 10.88 |
| Haohan Wang | 5 | 42 | 10.79 |
| Dongmei Hu | 6 | 3 | 0.75 |