浙江省高速公路隧道留存车智能识别

对隧道内实时留存的车辆，进行统计。并将危化品车、货车、客车单独统计整理。统计指标包括：车辆类型、车牌信息、车辆入洞时间、已通行时长，预计出洞时间等。平台具备根据道路通行情况、车速、限速，对车辆在隧道内的行驶时长进行预测的能力。若车辆已通行时长大大超过预测值，则进行报警。

Real-time statistics are conducted on vehicles currently remaining in the tunnel. Hazardous chemical transport vehicles, freight vehicles, and passenger vehicles are separately counted and categorized. The statistical metrics include vehicle type, license plate information, tunnel entry time of the vehicle, elapsed travel time within the tunnel, and estimated tunnel exit time, etc. The platform is capable of predicting the travel duration of vehicles inside the tunnel based on road traffic conditions, vehicle speed, and speed limits. An alarm will be triggered if a vehicle's elapsed travel time significantly exceeds the predicted travel duration.

搜集汇总

背景与挑战

背景概述

该数据集专注于浙江省高速公路隧道内留存车辆的智能识别与统计，能够分类统计危化品车、货车和客车，并提供车辆行驶时长预测及异常报警功能。