基于圆锥指数与多尺度地形因子的车辆通行性研究——以西藏自治区为例

Vehicles trafficability considering cone index and multi-scale terrain dependence:Case on Xizang Autonomous Region

针对传统车辆通行研究中地形分析尺度单一且未考虑天气对野外通行性影响的问题,从宏观到微观多尺度地评估地形对车辆野外通行的影响,同时考虑恶劣天气环境造成的土壤承载能力差异,建立雨季条件下融合土壤和地形因子的车辆野外通行成本模型.在此基础上,利用常规的路径分析方式实现了恶劣天气环境下的最佳路径分析,并结合实地考察的行车路线进行精度验证.结果表明:与仅考虑单一坡度因子的传统判断方法相比,该模型精度提升了12%~39%,尤其是在地形复杂的区域,规划路径更加贴近实际行驶路线,可靠性和准确度明显提升,符合路径分析实际应用的需要.

In the view of the problem that the terrain analysis scale of traditional vehicle trafficability research was single and the impact of weather on field traffic was not considered,the impacts of terrain on field traffic were evaluated from macro to micro scales,and the dfference of the soil bearing capacity due to adverse weather conditions was considered.A vehicle traffi-cability cost model integrating soil and terrain factors was established during the rainy season.On this basis,the optimal path analysis under adverse weather environment was realized using the conventional path analysis method,and its accuracy was confirmed through on-site inspection of marching routes.The results show that the accuracy of the model is improved by 12%to 39%compared with the conventional method which only considers a single slope factor.Especially in the regions of complex terrain,the planned paths are closer to the actual driving route,and the reliability and accuracy are significantly improved,which meets the practical needs of path analysis applications.