Name
Abstract | ||
|---|---|---|
For easing heavy traffic jams on weaving and merging sections on highway traffic, we compare the efficiency of zipper merging and non-zipper merging. Zipper merging is the merging of vehicles on two lanes by turns and achieved by only vehicle-to-vehicle interactions before merging. Non-zipper merging is the merging without any interactions before merging. In this comparison we use a cellular automaton model on multiple lanes with slow-to-start rules. Simulations and meanfield analysis show that the flux of zipper merging is larger (smaller) than that of random merging in the case of large (small) slow-to-start effect. |
Year | DOI | Venue |
|---|---|---|
2010 | 10.1007/978-3-642-15979-4_68 | ACRI |
Keywords | Field | DocType |
vehicle-to-vehicle interaction,slow-to-start effect,multiple lane,highway traffic,cellular automaton model,meanfield analysis show,heavy traffic jam,slow-to-start rule,cellular automaton,mean field,traffic flow | Data mining,Cellular automaton,Weaving,Traffic flow,Inversion (meteorology),Computer science,Algorithm,Theoretical computer science,Zipper,Flux,Intelligent transportation system,Merge (version control) | Conference |
Volume | ISSN | ISBN |
6350 | 0302-9743 | 3-642-15978-8 |
Citations | PageRank | References |
0 | 0.34 | 2 |
Authors | ||
5 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ryosuke Nishi | 1 | 10 | 2.57 |
| Hiroshi Miki | 2 | 0 | 1.01 |
| A. Tomoeda | 3 | 7 | 5.37 |
| Daichi Yanagisawa | 4 | 6 | 6.23 |
| Katsuhiro Nishinari | 5 | 189 | 47.27 |