ETA INVESTIGATIONS ON SUT SMART TRANSIT IN RED ROUTE USING ITS AND ARTIFICIAL INTELLIGENT TECHNOLOGY

S. Poochaya
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Abstract

Large urban community requires convenient public transportation system. In-coming of Intelligent Transportation System (ITS) and newest communication technology produce a fast development of conventional transportation system. Focus on mass transportation system, vehicle equips with commuication devices and GPS modules which transmit latitute, longtitute, ground speed to network or cloud. Estimated Time of Arrival (ETA) were computed by received data on cloud. As result, ETA show to passensgers via mobile application or LCD TV in bus stops. This work presents investigation of ETA error using V2N/ITS technology. Moreover, AI technology was selected to vehicle classification in red route internal bus service period. Finally, ETA error of service period indicates 5-10 Minutes due to traffic especially rush hour in the red routes.
利用其和人工智能技术对红色路线中的苏特智能公交系统进行的 eta 调查
大型城市社区需要便捷的公共交通系统。智能交通系统(ITS)和最新通信技术的出现使传统交通系统得到了快速发展。在大众交通系统中,车辆配备了通信设备和 GPS 模块,可将纬度、时长、地面速度等信息传输到网络或云端。云端通过接收到的数据计算出预计到达时间(ETA)。结果,ETA 会通过移动应用程序或巴士站的液晶电视显示给乘客。本作品利用 V2N/ITS 技术对 ETA 误差进行了研究。此外,还选择了人工智能技术对红色线路内部公交服务时段的车辆进行分类。最后,由于交通流量,特别是红色路线高峰时段的交通流量,服务期间的 ETA 误差显示为 5-10 分钟。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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