Multimodal counting (Bike, Trottinette, 2RM, VL, PL, Bus-car) – Counting Sites and Trajectories

** Static data set describing trajectories related to multimodal counting sites (Bike, Trottinette, 2RM, VL, PL, Bus-car).** The City of Paris collects vehicle counting data by: * **travel modes** (Trottinettes, Trottinettes + Bicycles (when the distinction between these two modes of travel is not implemented on the sensor), Bikes, 2 motorised wheels, Light vehicles ‘3.5 tonnes, Heavy vehicles’ 3.5 tonnes, Buses & coaches), * **traffic queue types** (Corona-piste, Bicycle paths, General traffic routes), * **traffic direction**. This data is built using a **artificial intelligence algorithm** that analyses images from thermal cameras installed in public space. ** Images from thermal cameras do not identify faces or license plates. The data thus collected does not present personal or individual data.** No image is transferred or stored on computer servers, the analysis being carried out as close as possible to the thermal camera. Only counting data is transmitted. This dataset feeds into the counting dataset ****[** Multimodal counting – Counts**](https://parisdata.opendatasoft.com/explore/dataset/comptage-multimodal-comptages/information/?disjunctive.label&disjunctive.mode&disjunctive.voie&disjunctive.sens&disjunctive.trajectoire) **Accuracy on the content of the “Trajectory” field:** It is a string designating the detection start area (input) and the detection output zone (Enter > Output) **A trajectory is characterised by a direction of circulation and by the traffic line taken by the vehicle entering and exiting.** Example: A bike that can in the detection area of the thermal camera enter the bike path and exit the general traffic lane.**静态数据集（static data set），用于描述与多模态计数站点（multimodal counting sites）相关的轨迹（涵盖自行车（Bike）、电动滑板车（Trottinette）、2轮机动车（2RM）、轻型车辆（VL）、重型车辆（PL）、公交客车（Bus-car））。** 巴黎市通过以下维度采集车辆计数数据： * **出行方式**：电动滑板车、电动滑板车+自行车（当传感器未区分该两类出行方式时）、自行车、2轮机动车、3.5吨及以下轻型车辆、3.5吨以上重型车辆、公交及客车， * **交通车道类型**：科罗纳专用道（Corona-piste）、自行车道、普通通行道路， * **交通流向**。 本数据集依托**人工智能算法（artificial intelligence algorithm）**构建，该算法对安装于公共空间的热成像摄像机（thermal cameras）采集的图像进行分析。 **热成像摄像机采集的图像无法识别面部特征与车牌号码，因此所采集的数据不包含个人或个体识别信息。** 无任何图像会被传输或存储至计算机服务器，所有分析工作均尽可能贴近热成像摄像机完成，仅会传输计数数据。 本数据集为**[多模态计数——计数数据（Multimodal counting – Counts）](https://parisdata.opendatasoft.com/explore/dataset/comptage-multimodal-comptages/information/?disjunctive.label&disjunctive.mode&disjunctive.voie&disjunctive.sens&disjunctive.trajectoire)** 数据集提供数据支撑。 **关于“轨迹”字段内容的准确性说明：** 该字段为字符串，用于标识检测起始区域（输入端）与检测结束区域（输入>输出）。 **轨迹由车辆的行驶方向以及进出检测区域时所采用的交通车道共同表征。** 示例：一辆自行车进入热成像摄像机的检测区域后，可行驶至自行车道并从普通通行车道驶出。