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首页> 外文会议>18th world congress on intelligent transport systems : Featuring its america's annual meeting and exposition >ESTIMATION OF VEHICLE CARBON DIOXIDE EMISSIONS BASED ON PROBE DATA COLLECTED VIA INFRARED BEACONS
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ESTIMATION OF VEHICLE CARBON DIOXIDE EMISSIONS BASED ON PROBE DATA COLLECTED VIA INFRARED BEACONS

机译：基于探针数据的红外信标估计车辆二氧化碳排放量

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This paper describes a study that evaluates the feasibility of making use of traffic probe datafor the environmental measure of vehicle carbon dioxide emissions by an estimation model.The probe data is compressed in the onboard units according to a preset compression ratioand sent to an urban traffic control center via the beacons. We installed onboard units on fourprobe vehicles, which are different from each other in vehicle type, displacement and load.The experiments were conducted on the arterial roads around the center of Yokohama City.The estimated consumption was compared to the measured value. The results show that theaccuracy of estimation heavily depends on the data compression ratio, displacement, andload. Four types of data compression ratios were tested in the experiments: low, lowermiddle, upper middle, and high. It was found that the model could be successfully applied forestimation if the compression ratio was low or lower middle, and the vehicle is a passengercar or a van without load and of 2,000cc displacement.
机译：本文介绍了一项评估使用流量探测数据的可行性的研究 通过估算模型对车辆二氧化碳排放进行环境测量。 探头数据按照预设的压缩率在机载单元中进行压缩 并通过信标发送到城市交通控制中心。我们在四个安装了机载单元 探查车辆，它们在车辆类型，排量和负载方面互不相同。 实验是在横滨市中心附近的动脉道路上进行的。 将估计的消耗量与测量值进行比较。结果表明 估算的准确性在很大程度上取决于数据压缩率，位移和 加载。实验中测试了四种类型的数据压缩率：低，较低 中，上中和高。发现该模型可以成功应用于 估计压缩比是低档还是中低档，并且车辆是乘客 空载或排量为2,000cc的汽车或厢式货车。

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