Abstract | ||
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Understanding travelers' route choice behavior is a key task in transportation studies. In this paper, we analyze the route choices of Beijing taxi drivers regarding four frequently mentioned cost-based route choice rules: pursuing shortest time, or distance, avoiding passing signalized intersections, or making left/right turnings. Test results show that route choices of drivers are not always opt... |
Year | DOI | Venue |
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2018 | 10.1109/TCSS.2018.2831285 | IEEE Transactions on Computational Social Systems |
Keywords | Field | DocType |
Public transportation,Roads,Lenses,Numerical models,Global Positioning System,Automobiles | Numerical models,Computer science,Operations research,Public transport,Global Positioning System,Artificial intelligence,Beijing,Machine learning,Bounded function | Journal |
Volume | Issue | ISSN |
5 | 2 | 2329-924X |
Citations | PageRank | References |
4 | 0.44 | 0 |
Authors | ||
3 |
Name | Order | Citations | PageRank |
---|---|---|---|
Li Li | 1 | 581 | 109.68 |
Wang Shuofeng | 2 | 4 | 2.13 |
Fei-Yue Wang | 3 | 5273 | 480.21 |