Currently, there are kinds of algorithms in order to detect real-time urban traffic condition. Most of these approaches consider speed of vehicles as a main metric to describe traffic situation. In this paper, we find...Currently, there are kinds of algorithms in order to detect real-time urban traffic condition. Most of these approaches consider speed of vehicles as a main metric to describe traffic situation. In this paper, we find out two important observations through several experiments. (1) In urban city, the speed of vehicles is influenced significantly by some factors such as traffic lights delay and road condition. The actual situation rarely satisfy hypothesis required for these solutions. Therefore, these traditional algorithms do not work well in practical environment. (2) Traffic volume on a road segment shows strong pattern and changes smoothly at adjacent time. This feature of traffic volume inspires us to define a metric: traffic-rate, which is used to detect traffic condition in real time. In our solution, we develop a novel traffic-detection algorithm based on original- destination (OD) matrix. We illustrate our approach and measure its performance in real environment. The performance evaluations confirm the effectiveness of our algorithm.展开更多
本文在分析公路网交通特性的基础上,根据极大熵原理建立了公路交通量 OD 分布(起讫点分布)的推断模型,该模型可充分利用各种有效信息和局部资料对 OD 分布情况进行推断及追踪校正,因而可避免严重依赖 OD 调查数据的状况,使获取 OD 分布...本文在分析公路网交通特性的基础上,根据极大熵原理建立了公路交通量 OD 分布(起讫点分布)的推断模型,该模型可充分利用各种有效信息和局部资料对 OD 分布情况进行推断及追踪校正,因而可避免严重依赖 OD 调查数据的状况,使获取 OD 分布资料的方法得以简化。本文还对其实用的简化模型及特殊情况的处理作了分析,同时结合一个实例,检验了该模型的有效性。展开更多
文摘Currently, there are kinds of algorithms in order to detect real-time urban traffic condition. Most of these approaches consider speed of vehicles as a main metric to describe traffic situation. In this paper, we find out two important observations through several experiments. (1) In urban city, the speed of vehicles is influenced significantly by some factors such as traffic lights delay and road condition. The actual situation rarely satisfy hypothesis required for these solutions. Therefore, these traditional algorithms do not work well in practical environment. (2) Traffic volume on a road segment shows strong pattern and changes smoothly at adjacent time. This feature of traffic volume inspires us to define a metric: traffic-rate, which is used to detect traffic condition in real time. In our solution, we develop a novel traffic-detection algorithm based on original- destination (OD) matrix. We illustrate our approach and measure its performance in real environment. The performance evaluations confirm the effectiveness of our algorithm.
文摘本文在分析公路网交通特性的基础上,根据极大熵原理建立了公路交通量 OD 分布(起讫点分布)的推断模型,该模型可充分利用各种有效信息和局部资料对 OD 分布情况进行推断及追踪校正,因而可避免严重依赖 OD 调查数据的状况,使获取 OD 分布资料的方法得以简化。本文还对其实用的简化模型及特殊情况的处理作了分析,同时结合一个实例,检验了该模型的有效性。
