Name
Abstract | ||
|---|---|---|
In recent years, the amount of population and cars increase dramatically due to the rapid development of economy. Therefore traffic congestion becomes an urgent problem in urban transport system. Intelligent transportation systems try to solve these traffic congestion problems by utilising technologies like information, sensing, controlling and computing etc. This paper constructs a complex network of transportation system, including 73 traffic bus routes and 1,003 stations. We analyse the features of public transport system towards the view of complex network theory. The results show that our network model has most features of complex networks. Finally, we compare the robustness of transportation system under fixed attacks and random attacks. Simulation results show that it has better robustness under random attacks. |
Year | Venue | Field |
|---|---|---|
2017 | IJHPSA | Population,Computer science,Transport system,Computer network,Real-time computing,Robustness (computer science),Public transport,Complex network,Intelligent transportation system,Network model,Traffic congestion |
DocType | Volume | Issue |
Journal | 7 | 4 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Fujun Han | 1 | 0 | 0.34 |
| Liyou Lin | 2 | 0 | 0.34 |
| Shaojing Li | 3 | 0 | 0.68 |