阿图什帕米尔路光明路口车流量交通指数数据

主要包括阿图什帕米尔路光明路口车各方向流量数据由车辆进出检测区域统计而来，根据进出数据控制交通信号的实时调度。用途：1. 为实现后期重新划分时段，调整时段时间以及当前时段绿信比（指信号灯周期内可用于车辆通行的绿灯时间与整个周期时间的比例）提供原始数据；1）工作日周二~周四：根据各方向前两天车流量数据，与路口设计饱和流量值比值，分区段划分时段；2）工作日周一和周五~周日：根据各方向前两周周一当天车流量数据，与路口设计饱和流量值比值，分区段划分时段；2. 根据各时间段流量，可计算车道时间占有率，并可估算车道空间占有率和车头时距；3. 提供交通部门决策所需的路口交通流量，车道占有率等数据。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10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：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)；来向交通指数=a1/2724*X；去向交通指数=a2/2992*X(X指数区间值为1-3之间) ，当来向交通指数和去向交通指数小于等于3时，车流量属于正常范围，当来向交通指数和去向交通指数大于3以上时，需要根据不同路段和不同时间段来进行分析判断车流量是否拥堵，从而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 contains traffic flow data for all directions at the Guangming Intersection on Pamir Road, Atushi. The data is collected by tallying vehicles entering and exiting the detection zone, and is utilized for real-time traffic signal scheduling based on the entry and exit records.

Applications:
1. Providing raw data for subsequent re-division of traffic time periods, adjustment of period durations and optimization of green splits (defined as the ratio of green time allocated for vehicle passage within a signal cycle to the total cycle length) of current periods:
1) For workdays from Tuesday to Thursday: Divide traffic into segmented periods based on the ratio of the flow data of each direction in the previous two days to the designed saturation flow of the intersection.
2) For workdays on Monday, Friday, Saturday and Sunday: Divide traffic into segmented periods based on the ratio of the flow data of each direction on the previous two Mondays to the designed saturation flow of the intersection.
2. Based on the flow data of each time period, lane time occupancy can be calculated, and lane space occupancy and headway can be estimated.
3. Providing data such as intersection traffic flow and lane occupancy required for traffic department decision-making.

Data Sources:
① Traffic flow (i.e., total number of vehicles detected by flow loops): Outflow, left-turn and straight-going traffic volumes can be collected through software background monitoring, while inflow traffic volume must be calculated via measurement.
② Saturation flow (i.e., the maximum number of vehicles that can pass within 10 minutes): It is a fixed value based on prior measurement results.
③ Inflow and outflow traffic indices need to be calculated.

Data Processing and Applications:
Inflow traffic volume (a1) = left-turn traffic volume (a3) + straight-going traffic volume (a4) + right-turn traffic volume (a5);
Outflow traffic volume (a2);
Inflow traffic index = (a1 / 2724) * X;
Outflow traffic index = (a2 / 2992) * X (where the value range of X is 1 to 3).
When both the inflow and outflow traffic indices are ≤ 3, the traffic flow is within the normal range. When the indices exceed 3, analysis and judgment of traffic congestion need to be conducted based on different road sections and time periods, so as to provide reference for optimizing traffic light timing, improving traffic efficiency and supporting sustainable development.

搜集汇总

数据集介绍

特点

该数据集记录了阿图什帕米尔路光明路口的车流量和交通指数数据，包括各方向车流量、饱和流量和交通指数等信息，每日更新，主要用于交通信号调度和交通部门决策支持。