Name
Title | ||
|---|---|---|
Prioritizing Influential Factors for Freeway Incident Clearance Time Prediction Using the Gradient Boosting Decision Trees Method. |
Abstract | ||
|---|---|---|
Identifying and quantifying the influential factors on incident clearance time can benefit incident management for accident causal analysis and prediction, and consequently mitigate the impact of non-recurrent congestion. Traditional incident clearance time studies rely on either statistical models with rigorous assumptions or artificial intelligence (AI) approaches with poor interpretability. Thi... |
Year | DOI | Venue |
|---|---|---|
2017 | 10.1109/TITS.2016.2635719 | IEEE Transactions on Intelligent Transportation Systems |
Keywords | Field | DocType |
Decision trees,Boosting,Predictive models,Time factors,Mathematical model,Statistical analysis | Incident management (ITSM),Decision tree,Crash,Interpretability,Computer science,Tracking system,Boosting (machine learning),Statistical model,Statistics,Gradient boosting | Journal |
Volume | Issue | ISSN |
18 | 9 | 1524-9050 |
Citations | PageRank | References |
2 | 0.43 | 7 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiaolei Ma | 1 | 203 | 15.59 |
| Chuan Ding | 2 | 12 | 1.34 |
| Sen Luan | 3 | 2 | 1.11 |
| Yong Wang | 4 | 10 | 5.06 |
| Yunpeng Wang | 5 | 194 | 25.34 |