A traffic cellular automata model based on road network grids and its spatial and temporal resolution's influences on simulation
文献类型：期刊论文
| 作者 | Sun Tengda(孙腾达) ; Wang Jinfeng |
| 刊名 | SIMULATION MODELLING PRACTICE AND THEORY
 |
| 出版日期 | 2007 |
| 卷号 | 15期号:7页码:864-878 |
| 关键词 | microscopic traffic simulation cellular automata road network grids spatial resolution temporal resolution influences on simulation HIGHWAY |
| 通讯作者 | Wang Jinfeng |
| 英文摘要 | Microscopic Traffic Simulation Model based on Cellular Automata (CA) has become more and more popular since it was firstly introduced by Creamer and Ludwig in 1986. Cellular automata are simpler to implement on computers, provide a simple physical picture of the system and can be easily modified to deal with different aspects of traffic. However, in a traditional traffic CA model, the spatial resolution of CA and temporal resolution of simulation are low. Take TRANSIMS for example. The size of cellular automata is 7.5 m and the time step equals 1 s. In such a case, if a vehicle drives at a speed of 4 cells per s, the speed difference between 95 km/h (3.5 * 7.5 m/s) and 121 km/h (4.4999 * 7.5 m/s) will not be distinguished by simulation models. And the temporal resolution of I s makes the system hard to model different drivers' reaction time, which plays a very important role in vehicular movement models. In this paper, a microscopic traffic cellular automata model based on road network grids is proposed to overcome the low spatial and temporal resolutions of traditional traffic CA models. In our model, spatial resolution can be changed by setting different grid size for lanes and intersections before or during simulation and temporal resolution can be defined according to simulation. needs to model different drivers' reaction time, whereas the vehicular movement models are still traditional CA models. By doing so, the low spatial and temporal resolution of CA model can be overcome and the advantages of using CA to simulate traffic are preserved. The paper also presents analyses of the influences on simulation of different ID lane grid size, 2D intersection grid size and different combinations of temporal resolution and mean drivers' reaction time. The analysis results prove the existence of spatial and temporal resolution thresholds in traffic CA models. They also reveal that the size of grids, the combinations of different temporal resolutions and mean drivers' reaction time do pose influences on the speed of vehicles and lane/intersection occupancy, but do not affect the volume of traffic greatly. (C) 2007 Elsevier B.V. All rights reserved. |
| 收录类别 | SCI |
| 语种 | 英语 |
| 公开日期 | 2011-11-26 |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/7097]  |
| 专题 | 地理科学与资源研究所_研究生部 |
| 推荐引用方式 GB/T 7714 | Sun Tengda,Wang Jinfeng. A traffic cellular automata model based on road network grids and its spatial and temporal resolution's influences on simulation[J]. SIMULATION MODELLING PRACTICE AND THEORY,2007,15(7):864-878. |
| APA | Sun Tengda,&Wang Jinfeng.(2007).A traffic cellular automata model based on road network grids and its spatial and temporal resolution's influences on simulation.SIMULATION MODELLING PRACTICE AND THEORY,15(7),864-878. |
| MLA | Sun Tengda,et al."A traffic cellular automata model based on road network grids and its spatial and temporal resolution's influences on simulation".SIMULATION MODELLING PRACTICE AND THEORY 15.7(2007):864-878. |
入库方式： OAI收割
来源：地理科学与资源研究所
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