Name
Abstract | ||
|---|---|---|
In this paper, we studied the progression of parking guidance system technology and application in recent years. We carried on the demand analysis according to parking guidance system. We designed the architecture of parking guidance system. we introduced the ant colony algorithm, and improved the heuristic function and strategy for topology updating of ant colony algorithm based on busy state road factor. We searched the optimal traffic path by using improved ant colony algorithm. We built the structural model of parking location, described the concept of optimal path in this paper. We completed the simulation experiment and analyzed the result of optimal driving path simulation experiment. |
Year | Venue | Keywords |
|---|---|---|
2014 | 2014 IEEE 3rd International Conference on Cloud Computing and Intelligence Systems (CCIS) | Ant colony algorithm, Parking guidance system, Intelligent terminal, Optimal path |
Field | DocType | ISSN |
Ant colony optimization algorithms,Heuristic function,Architecture,Computer science,Parking guidance and information,Demand analysis,Real-time computing,Guidance system,Distributed computing | Conference | 2376-5933 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yi Huang | 1 | 850 | 98.48 |
| fang xiao | 2 | 0 | 0.68 |
| yiming shen | 3 | 0 | 1.01 |