格尔木市邮电转盘口车流量交通指数数据

主要包括格尔木市邮电转盘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、直行等可通过软件后台监测收集得到，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来向、去向交通指数需通过计算。
2.数据处理及应用：①②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 primarily focuses on traffic volume statistics and analysis across the four cardinal directions (east, west, south, north) of the Post and Telecommunications Roundabout in Golmud City. Real-time data analysis enables assessment of urban traffic conditions, providing a foundation for traffic planning and management. Real-time traffic volume monitoring supports adjustment of signal timing to mitigate congestion and enhance traffic efficiency. Analyzing flow data from accident-prone road sections allows for early warning of accident risks, reducing the likelihood of traffic accidents. Real-time monitoring of congested road sections delivers real-time traffic information to the public, enabling them to rationally plan travel routes. Additionally, 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 volume statistics and traffic induction analysis data can optimize traffic light timing, improve road traffic efficiency, reduce traffic accident risks, and thereby promote urban sustainable development.

1. Data Sources:
① Traffic Volume (defined as the total number of vehicles detected by traffic detection loops): Outbound, left-turn, through and other directional flows can be monitored and collected via the software backend, while inbound flows require calculation;
② Saturated Flow (defined as the maximum number of vehicles that can pass within 15 minutes): It is a fixed value based on prior calculations;
③ Inbound and outbound traffic indices need to be computed.

2. Data Processing and Application:
①② Inbound traffic volume (a₁) = left-turn traffic volume (a₃) + through traffic volume (a₄) + right-turn traffic volume (a₅); Outbound traffic volume (a₂);
③ Inbound traffic index = (a₁ / 1476) × X; Outbound traffic index = (a₂ / 776) × X (where X is a specific index value)
By analyzing inbound and outbound traffic indices, reference basis can be provided for optimizing traffic light timing, improving traffic efficiency, and supporting sustainable urban development.