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作 者:金茂菁 刘玉敏[2] 王云鹏[2] 李斌[3] 吴晋武
机构地区:[1]科学技术部高技术研究发展中心,北京100044 [2]北京航空航天大学交通科学与工程学院,北京100191 [3]交通运输部公路科学研究院,北京100088 [4]深圳市易行网交通科技有限公司,广东深圳518040
出 处:《公路交通科技》2013年第1期133-140,共8页Journal of Highway and Transportation Research and Development
基 金:国家自然科学基金项目(51278021)
摘 要:当前城市主干道过饱和交通流交通状况恶劣,交通拥堵时常发生,由于受信号灯的周期性阻滞作用,交叉口上游车辆淤积现象严重,传统的连续交通流模型无法用于估算城市主干道旅行时间。有鉴于此,提出了一种适用于中断交通流的基于车辆队列的旅行时间估算方法。基于道路上已有的存在型检测器,运用检测器采集的高精度实时数据,研究了车队识别和匹配方法,通过匹配车队信息,对通过饱和状态下城市主干道的车辆进行了实时旅行时间估算。在此基础上,利用Q-Paramics软件进行了实例模型仿真验证。通过对比算法估算值和仿真模型观测值,验证了算法的合理性和有效性,为评估饱和状态下的城市主干道交通状态奠定了基础。Because of the aggressive and saturated traffic on the current urban arterial roads, traffic congestion often occurs. Due to the periodic inhibition of the traffic light, the phenomenon that vehicles stop at the upstream intersection occurs frequently. However, traditional continuous traffic flow model can hardly estimate the travel time for improvement. In view of this, an innovative algorithm for time-dependent arterial travel time estimation based on platoons was put forward to meet the requirements of interrupted traffic flow. Using the high-resolution and real-time traffic data acquired from the existing detectors on the road, research efforts is devoted on discriminating and matching platoons to attain the goal of estimating the travel time on saturated urban arterials. Simulation studies based on Q-Paramics shows ideal results after comparison between the estimated result obtained by the algorithm proposed in the paper and observed result obtained by the simulation model, which proved the rationality and validity of the algorithm. Thereby the paper provided an academic basis for researching traffic state on saturated urban arterial roads.
关 键 词:交通工程 旅行时间估算 车辆队列识别 饱和交通流 城市主干道 Q-Paramics仿真
分 类 号:U491.264[交通运输工程—交通运输规划与管理]
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