摘要
高速公路收费系统的收费记录汇聚了很多极具价值的交通信息,不仅可以得到交通量、车型等一般性信息,而且能够得到车辆行程距离、行程时间、OD等常规方法不易获取的重要信息.行程距离是交通规划和管理中的一项重要基础数据,以往行程距离的预测方法依赖于交通调查与检测数据,数据采集成本较高.本文以高速公路计重收费系统中的出口车流量、通行费收入、车货总重、超限率等信息建立货运车辆平均行程距离估算模型,并通过实例验证该算法的可行性.因此本研究对高速公路车辆行程距离预测的工程实践提供了较好的解决方案和科学的理论依据.
The database of expressway toll by weight collects valuable traffic information, which ranges from general information such as volume of traffic, type of vehicle to some not easily obtained information by means of conventional method such as travel distance, travel time and OD. The travel distance is an important basic item in traffic planning and management. The past prediction method of travel distance is based on traffic survey and testing data at a high cost. In this paper, a model of estimating wagon average travel distance based on information such as the exit traffic volume, the income of toll dues, the weights of cargo and vehicle, overload rate in expressway toll by weight is established, meanwhile the feasibility of this algorithm is verified through living examples. Therefore this paper provides better solutions and scientific theoretical basis in engineering practice of expressway travel distance prediction.
出处
《昆明理工大学学报（自然科学版）》
CAS
北大核心
2011年第4期38-42,共5页
Journal of Kunming University of Science and Technology(Natural Science)
基金
云南省交通厅科学研究基金(2008(A)2-11)
