面向行驶周期测算的细分速度区间的车辆行驶里程和时间算法  

Algorithm for V_(KT) and V_(HT) in Subdivided Speed Intervals Based on Driving Cycle Estimation

作　　者：臧金蕊 焦朋朋[1] 宋国华[2] ZANG Jin-rui;JIAO Peng-peng;SONG Guo-hua(Beijing Advanced Innovation Center for Future Urban Design,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Key Laboratory of Transport Industry of Big Data Application Technologies for Comprehensive Transport,Beijing Jiaotong University,Beijing 100044,China)

机构地区：[1]北京建筑大学北京未来城市设计高精尖创新中心,北京100044 [2]北京交通大学综合交通运输大数据应用技术交通运输行业重点实验室,北京100044

出　　处：《公路交通科技》2024年第12期29-38,共10页Journal of Highway and Transportation Research and Development

基　　金：北京市社会科学基金项目(23GLC039)。

摘　　要：行驶周期是车辆尾气排放测算的核心参数之一,但传统建立行驶周期所采用的数据收集方法成本高,耗时长,样本代表性不足。为克服传统数据采集方法的缺陷,获取构建准确行驶周期所需的覆盖全路网的交通流参数,构建了面向行驶周期测算的细分速度区间的路网动态车辆行驶里程(V_(KT))和车辆行驶时间(V_(HT))算法。首先,基于多城市不同等级道路的多源交通流数据,构建宏观交通流基本图模型,利用路段速度数据推算全路网流量数据;其次,基于C++算法开发细分速度区间的路网动态V_(KT)和V_(HT)算法,研究道路等级和城市规模对V_(KT)和V_(HT)分布特征的影响;最后,构建动态V_(KT)和V_(HT)数据分析系统,对计算结果进行直观展示。结果表明,不同等级道路宏观交通流基本图模型能较好地模拟城市道路交通流,流量测算误差低于10%;细分速度区间V_(KT),V_(HT)分布会受道路等级和城市规模影响,其中道路等级影响更大;有必要针对不同城市规模和道路等级分别建立相应行驶周期;面向行驶周期开发的V_(KT),V_(HT)算法及数据分析系统,可对细分速度区间的动态V_(KT),V_(HT)进行快速计算,并对不同城市计算结果进行直观对比。研究成果提高了细分速度区间的动态车辆行驶里程测算精度,为构建准确刻画车辆行驶状况的行驶周期提供数据支撑。The driving cycle is one of the important parameters for vehicle emission evaluation,however the traditional data collection methods for driving cycle establishment are costly,time-consuming and lack of sample representativeness.To overcome the shortcomings of traditional data collection methods,and obtain the traffic flow parameters covering the whole road network required to develop an accurate driving cycle,the algorithm for dynamic vehicle kilometers traveled(V_(KT))and vehicle hours traveled(V_(HT))in subdivided speed intervals for driving cycle development was proposed.First,the macroscopic traffic fundamental diagrams were constructed based on the multi-source traffic flow data of various roads to estimate the traffic flow data of entire road network by using the segment speed data.Second,the algorithm for road network dynamic V_(KT) and V_(HT) in subdivided speed intervals was developed based on the C++algorithm.The influences of road type and city scale on the V_(KT) and V_(HT) distribution characteristics were studied.Finally,the dynamic V_(KT) and V_(HT) data analysis system was established to visually display the calculation results.The result indicates that the macroscopic traffic fundamental diagram model can well simulate the urban road traffic flow for various roads.The traffic volume measurement error is less than 10%.The V_(KT) and V_(HT) distribution in subdivided speed intervals are affected by the road types and city scales,especially the road types.It is necessary to establish the corresponding driving cycles for various road types and city scales.The V_(KT) and V_(HT) algorithms and data analysis system for driving cycle can quickly calculate the dynamic V_(KT) and V_(HT) in subdivided speed internals,and visually compare the results for various cities.The study result improves the calculation precision of dynamic V_(KT) in subdivided speed intervals.It provides the data support for driving cycle,which can accurately describe the driving conditions.

关 键 词：交通工程 宏观交通流基本图 动态流量算法 车辆行驶里程 车辆行驶时间 

分 类 号：U121[交通运输工程]