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。

This dataset conducts real-time statistics on vehicles currently remaining inside a tunnel. It separately counts and collates three types of vehicles: hazardous chemical transport vehicles, freight vehicles, and passenger vehicles. The statistical indicators cover vehicle type, license plate information, vehicle tunnel entry time, elapsed travel time, expected tunnel exit time, and so on. 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

该数据集名为'浙江省高速公路隧道留存车智能识别'，主要对浙江省高速公路隧道内实时留存的车辆进行统计，包括危化品车、货车和客车的单独统计，并提供车辆类型、车牌信息、入洞时间等指标。平台具备预测车辆行驶时长和超时报警功能，数据每日更新，覆盖浙江省高速公路路段，适用于交通运输场景。