Phesto Peter Namayala, Sospeter Gabriel, G. Kayombo, Peter Kambosha
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引用次数: 0
摘要
在坦桑尼亚,乘客超载控制一直是一个挑战,目前的做法是在专门的检查点进行超载检查,这给司机和售票员留下了漏洞,他们采用其他方法来规避负担。在控制公交车超载方面需要复杂的措施,因为它们可以帮助减少死亡和伤亡,因为调查结果表明,当发生事故时,乘客过多是许多死亡和伤亡的主要原因之一。现有的公交车乘客超载控制技术有很多,常用的有乘客计数技术、利用天顶摄像头捕捉生物方向客流的视频处理技术、红外运动分析仪和立体视觉技术。目前的检查和控制乘客超载的做法是由驻扎的警察和苏门答腊完成的,这与许多挑战和局限性有关,劳动密集型,不提供实时数据,被动而不是主动,不适用于雨天和夜间,鼓励贿赂和缺乏控制是一些常见的问题和局限性。本课题的研究重点是设计和开发一种复杂的嵌入式客运车辆超载系统,该系统可以监测和自动控制超载过程。通过使用ADCUM相机,二极管1N4007, Arduino UNO R3, GSM调制解调器A6, SIM900液晶显示器16X4,直流电机,继电器5v,稳压器7805和电池4AH,开发成为可能。在进行这项研究时,使用了定性和定量设计方法,在收集数据时使用了分层抽样技术,并使用SPSS分析数据来呈现研究结果。
Development of Passengers’ Vehicle Overloading Control System
Passengers overloading control has been a challenge in Tanzania, with the current practices checkup for overloading is done at special inspections points, leaving loopholes to both drivers and conductor deploy alternative ways to circumvent burdens. Sophisticated measures are required in controlling public buses’ overloading because they can help in reducing deaths and casualties as the findings show that excessive passengers is one of the major causes of many deaths and casualties when accidents occur. There are a number of existing technics for passengers’ overloading control in public busses, counting of passengers, video processing using the zenithal camera for capturing the bio-directional passengers flow, infra-red motion analyzer and stereovision are commonly used. The current practice of checking and controlling passengers’ overloading which is done by stationed police officers and SUMATRA is associated with many challenges and limitations, being labor-intensive, not providing real-time data, being reactive rather than proactive, not applicable in rainy and night time, encourage bribery and lacking control are some of the commonly identified problems and limitations. This research concentrates with the design and develops a sophisticated embedded passengers’ vehicles overloading system that monitors and automatically controlling the overloading process. Development was possible through the use of ADCUM Camera, Diode 1N4007, Arduino UNO R3, GSM modem A6, SIM900 Liquid crystal display 16X4, DC motor, Relay 5v, Regulator 7805 and battery 4AH. Both qualitative and quantitative design approach was used when undertaking this research, a stratified sampling technique was used when collecting data and to present findings SPSS was used to analyze data.