交通运输系统工程与信息
交通運輸繫統工程與信息
교통운수계통공정여신식
JOURNAL OF COMMUNICATION AND TRANSPORTATION SYSTEMS ENGINEERING AND INFORMATION
2010年
1期
72-80
,共9页
赵慧%于雷%郭继孚%赵娜乐%温慧敏%朱琳
趙慧%于雷%郭繼孚%趙娜樂%溫慧敏%硃琳
조혜%우뢰%곽계부%조나악%온혜민%주림
城市交通%动态OD需求估计%时变拆分比例%静态控制OD需求估计%浮动车数据%RTMS数据
城市交通%動態OD需求估計%時變拆分比例%靜態控製OD需求估計%浮動車數據%RTMS數據
성시교통%동태OD수구고계%시변탁분비례%정태공제OD수구고계%부동차수거%RTMS수거
urban traffic%time-varying OD demand estimation%time-varying splitting rates%controlling static OD demands estimation%floating car data (FCD)%remote traffic microwave sensors (RTMS) data
动态OD需求是城市交通规划、交通管理控制措施制定及评估工作的数据基础,然而现有多数动态OD估计模型存在着难以应用于真实路网OD估计的问题.针对于此,本文提出了一种基于浮动车和RTMS数据的动态OD估计模型,该模型具有操作性和实用性强的特点.模型的实现经历了两个阶段:第一阶段是利用RTMS数据进行静态OD反推,获得与现实OD需求相匹配的静态控制OD需求;第二阶段是基于浮动车数据和RTMS数据计算得到每个OD对的时变拆分比例,并用该比例拆分静态控制OD获得动态OD需求.最后以北京西三环交通走廊为研究对象,开展了动态OD需求估计实例分析工作,从而验证模型的准确性和实用性.
動態OD需求是城市交通規劃、交通管理控製措施製定及評估工作的數據基礎,然而現有多數動態OD估計模型存在著難以應用于真實路網OD估計的問題.針對于此,本文提齣瞭一種基于浮動車和RTMS數據的動態OD估計模型,該模型具有操作性和實用性彊的特點.模型的實現經歷瞭兩箇階段:第一階段是利用RTMS數據進行靜態OD反推,穫得與現實OD需求相匹配的靜態控製OD需求;第二階段是基于浮動車數據和RTMS數據計算得到每箇OD對的時變拆分比例,併用該比例拆分靜態控製OD穫得動態OD需求.最後以北京西三環交通走廊為研究對象,開展瞭動態OD需求估計實例分析工作,從而驗證模型的準確性和實用性.
동태OD수구시성시교통규화、교통관리공제조시제정급평고공작적수거기출,연이현유다수동태OD고계모형존재착난이응용우진실로망OD고계적문제.침대우차,본문제출료일충기우부동차화RTMS수거적동태OD고계모형,해모형구유조작성화실용성강적특점.모형적실현경력료량개계단:제일계단시이용RTMS수거진행정태OD반추,획득여현실OD수구상필배적정태공제OD수구;제이계단시기우부동차수거화RTMS수거계산득도매개OD대적시변탁분비례,병용해비례탁분정태공제OD획득동태OD수구.최후이북경서삼배교통주랑위연구대상,개전료동태OD수구고계실례분석공작,종이험증모형적준학성화실용성.
Time-varying origin-destination (OD) demands are the essential element in the modeling and evaluation of urban traffic planning and traffic management and control strategies. However, most of existing methodologies in estimating time-varying origin-destination (OD) demands are not able to be applied for real-world networks. This paper intends to develop a practical approach to estimate time-varying OD demands incorporating both floating car data (FCD) and remote traffic microwave sensors (RTMS) data. The paper proposes a framework of the methodology which includes two stages. The first stage is to estimate the controlling static OD demands based on RTMS data for the entire modeling period to ensure that the total modeled demands match the total observed demands. The second stage is to modify the controlling static OD demands to ultimately obtain the time-varying OD demands using the resulting time-varying splitting rates by a combined application of FED and RTMS data. The paper applies the proposed methodology to derive the time-varying OD demands for the Western 3rd Ring-Road corridor network in Beijing, which is shown to be accurate and practical.