Name
Title | ||
|---|---|---|
Measuring traffic congestion: An approach based on learning weighted inequality, spread and aggregation indices from comparison data. |
Abstract | ||
|---|---|---|
Comparison of smoothed time series data for velocity, volume, weighted spread (using proportions calculated from relative volume) and an adjusted volume index. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.asoc.2017.07.014 | Applied Soft Computing |
Keywords | Field | DocType |
Aggregation functions,Inequality indices,Spread measures,Learning weights,Congestion,Traffic analysis | Traffic analysis,Mathematical optimization,Inequality,Mathematics,Traffic congestion | Journal |
Volume | ISSN | Citations |
67 | 1568-4946 | 1 |
PageRank | References | Authors |
0.36 | 12 | 7 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Gleb Beliakov | 1 | 989 | 78.95 |
| Marek Gagolewski | 2 | 186 | 23.86 |
| Simon James | 3 | 272 | 20.35 |
| Shannon Pace | 4 | 1 | 0.36 |
| Nicola Pastorello | 5 | 1 | 0.36 |
| Elodie Thilliez | 6 | 1 | 0.36 |
| Rajesh Vasa | 7 | 218 | 23.64 |