车流量统计分析数据

主要包括某路口东南西北四个方向的车流量统计与分析，进而可通过对实时数据的分析，了解城市交通状况，为交通规划和管理提供依据；通过实时监测交通流量，调整信号灯时序，以减少拥堵并提高通行效率；通过分析事故易发路段的流量数据，提前预警事故风险，降低交通事故发生的概率；实时监测拥堵路段，为公众提供实时的交通信息，以便合理安排出行路线；对交通事故、道路施工等事件进行实时监测，为应急救援和交通疏导提供数据支持。合理利用车流量统计与诱导分析数据，可以优化红绿灯时间，提高道路通行效率，降低交通事故风险，从而促进城市可持续发展。1.数据来源：①交通流量（即流量检测线圈的车辆总和）：去向、左转、直行等可通过软件监测得到，来向需通过测算得到；②饱和流量（即15分钟最大能通过的数量）：根据以往测算可知，为固定值。③行程速度（即单位时间里面通过这个检测截面车里的平均速度）：是统计出来平均值，需通过测算；④自由流速度（即路段限速或者是让车辆自由开下的最大速度：根据以往测算可知，为固定值。⑤来向、去向交通指数需通过计算。
2.数据处理及应用：①来向行程速度（c）=（c1+c2+……cn）/n（n为不同车辆，下同）；去向行程速度（d）=（d1+d2+……dn）/n；左转行程速度（e）=（e1+e2+……en）/n；直行行程速度（f）=（f1+f2+……fn）/n；右转行程速度（h）=（h1+h2+……hn）/n，②来向交通流量（a1）=左转交通流量（a3）+直行交通流量（a4）+右转交通流量（a5）；去向交通流量(a2)；③来向交通指数=a1/1476*X；去向交通指数=a2/776*X(X为特定性指数值)
通过分析来向、去向交通指数，可优化红绿灯时间提供参考依据，提高通行效率，从而可持续发展。

This dataset mainly covers traffic flow statistics and analysis for the four directions (east, south, west, north) of a certain intersection. Through real-time data analysis, urban traffic conditions can be grasped, providing a basis for traffic planning and management. Real-time traffic flow monitoring enables adjustment of signal timing to reduce congestion and improve traffic efficiency. Analyzing flow data from accident-prone road sections allows early warning of accident risks and reduces the probability of traffic accidents. Real-time monitoring of congested road sections provides real-time traffic information for the public to help them reasonably arrange travel routes. Real-time monitoring of incidents such as traffic accidents and road construction provides data support for emergency rescue and traffic diversion. Rational utilization of traffic flow statistics and induced analysis data can optimize traffic light timing, improve road traffic efficiency, reduce traffic accident risks, and thus promote urban sustainable development.

1. Data Sources:
① Traffic flow (the total number of vehicles detected by flow detection coils): Directions of travel, left turns, straight travels, etc. can be monitored via software, while the incoming direction needs to be calculated;
② Saturation flow (the maximum number of vehicles that can pass within 15 minutes): It is a fixed value based on previous calculations;
③ Travel speed (the average speed of vehicles passing through this detection section per unit time): It is a statistical average value that requires calculation;
④ Free-flow speed (the maximum speed when following the road speed limit or when vehicles drive freely): It is a fixed value based on previous calculations;
⑤ The incoming and outgoing traffic indexes need to be calculated.

2. Data Processing and Applications:
① Incoming travel speed (c) = (c1 + c2 + … + cn)/n (n represents different vehicles, the same below); Outgoing travel speed (d) = (d1 + d2 + … + dn)/n; Left-turn travel speed (e) = (e1 + e2 + … + en)/n; Straight-travel travel speed (f) = (f1 + f2 + … + fn)/n; Right-turn travel speed (h) = (h1 + h2 + … + hn)/n;
② Incoming traffic flow (a1) = left-turn traffic flow (a3) + straight-travel traffic flow (a4) + right-turn traffic flow (a5); Outgoing traffic flow (a2);
③ Incoming traffic index = a1 / 1476 * X; Outgoing traffic index = a2 / 776 * X (X is a specific index value)
By analyzing incoming and outgoing traffic indexes, reference basis can be provided for optimizing traffic light timing, improving traffic efficiency, and achieving sustainable development.

搜集汇总

数据集介绍

特点

该数据集包含某路口四个方向的车流量统计与分析数据，用于交通规划和管理，每日更新，包含97条记录。数据详细记录了交通流量、饱和流量和行程速度等信息，应用场景广泛，包括信号灯优化、事故预警和交通疏导等。