摘要
为使二级干线公路限速区的限速取值有据可依,在合理限速所需满足几点假设条件的基础上,选取符合条件的路段采集其交通流、道路、环境特征等相关参数。针对不同路段类型速度样本存在显著差异的情况,构建路段类型虚拟变量,考查其对限速值的影响。分别采用多元线性回归与线性Panel Data回归方法建立二级干线公路限速区的限速取值模型。对这2种限速取值方法从统计指标、限速影响因素等方面进行对比,得出多元线性回归优于Panel Data回归模型,并应用实例对多元线性回归模型的有效性进行了验证。研究结果表明:二级干线公路限速区限速取值的主要影响因素有运行速度、地形、路基宽、出入口密度、大型车比例、是否处于小半径弯坡段等,其中运行速度对限速区限速取值的影响程度最大;研究成果量化了各因素对二级干线公路限速区限速取值的影响程度,为解决速度限制相关问题提供了一种新的尝试。
In order to determine speed limits of second-class arterial highway, parameter such as traffic flow, roadway and environment characteristics were collected at segments which met rea sonable speed limit assumptions. In view of significant differences among speed samples of vari ous roadway segment types, dummy variables were established to reflect their influences on speed limit value. Multi-linear regression speed limit model and panel data speed limit model of second- class arterial highway were established respectively. On comparing these two models in aspects of statistical indicators and speed limit influencing factors, it could be concluded that multi-linear re- gression method could obtain better effect than panel data regression method. The results show that operating speed, terrain, subgrade width, the density of entrances and exits, large vehicle ratio, and roadway segments with small radius and large slope are main influencing factors of sec ond-class arterial highway speed limit for speed zone, and operating speed is the decisive factor. The results quantify the effect of influencing factors on second-class arterial highway speed zone,which provides a new attempt for solving speed limit problem. 6 tabs, 14 refs.
出处
《长安大学学报（自然科学版）》
EI
CAS
CSCD
北大核心
2013年第6期88-94,共7页
Journal of Chang’an University(Natural Science Edition)
基金
国家自然科学基金项目(50908106)
国家科技支撑计划项目(2009BAG13A03)
