Road traffic conditions in Kenya: Exploring the policies and traffic cultures from unstructured user-generated data using NLP

Road traffic accidents (RTA) are a prevalent cause of fatality with African countries having the highest fatality index (25–34 per quota). The World Health Organization estimates Kenya's fatality rate due to RTA at 28 per quota. From literature, the country's fatality and injuries have increased by 26% and 46.5%, respectively, since the year 2015. The country is faced with incomplete RTA data capturing, hindering effective planning and policy adjustments to curb the menace. In this paper, we scrapped user-generated data (Twitter) and national transport and safety authority's (NTSA) reports to shed light on traffic safety, practices, and cultures in the country. To this end, we gathered 1,000,000 tweets and 8000 speeding entries between 2015 and 2021 and performed natural language processing (NLP) and quantitative study of the data. We applied NLP and n-gram search of keywords to categorize data into 8 topics: traffic, public service vehicle (PSVs), policing, accident, infrastructure, recklessness, robbery, and corruption. From the data, policing, which touches on all police and law-enforcement-related activity was found to be highly correlated with PSVs, recklessness, accidents, traffic congestion, robbery, infrastructure, and corruption with indices of r(76) = 0.92, 0. 91, 0.87, 0.82, 0.81, 0.76, and 0.70, respectively with p < 0.001. The topic modeling confirmed the identified topics to be the latent discussion issues affecting the public. From the study, PSVs, policing and traffic flow were isolated as key issues that ought to be addressed immediately. The research recommended the integration of driver monitoring systems to strengthen policing. The research, which utilized unstructured data, points to the utility of data mining which would greatly benefit traffic research, particularly African-based studies, that suffer from data inadequacy.     

长江下游张家洲水道6 m水深航道治理措施

为实现武汉至安庆段6 m水深初通,需对该河段进行航道整治。张家洲水道为其中一段,是长江中下游重点碍航浅滩水道之一。在已建航道整治研究的基础上,依据张家洲水道原型观测基础资料,分析6 m水深航道条件及其变化趋势,提出整治思路及原则。同时结合物理模型试验,对本水道演变趋势进行预测,并开展整治方案效果试验研究。成果表明,随着整治方案的实施,本水道6 m水深航道条件基本能达到,仅少数不利水沙年份需辅以一定量的维护性疏浚。     

港口管理与计算机网络资源的探讨

Internet以及大量的LAN均使用TCP/IP协议作为通信协议 ,TCP/IP是由上百种协议组成的协议组。在网络层使用的通信协议是IP协议 ,另外还有一些差错与控制协议。目前IP协议的版本是IPv 4 ,因为IPv 4自身存在某些缺陷需要更新换代。在IPv 4面临的一系列问题中 ,IP地址即将耗尽无疑是最为严重的。本文主要论述了IPv 4与IPv 6之间的差异及IPv 6的特点 ,以便更好地为港口管理现代化服务。     

IPv6:中国信息产业的新机遇

介绍了IPv6的技术特点，国内外IPv6的研究和产品化现状，以及产品化的发展方向，最后对IPv6在中国的发展进行展望。     

浅析呼和浩特西站计算机联锁改造

本文介绍了呼和浩特西站(DS6-K5B 计算机联锁系统)与呼和浩特站增加三线工程改造施工的相关过程和经验,重点阐述了大型站场含控制台改造需要注意的问题。     

日产柴PF6发动机电控系统故障诊断

介绍日产柴PF6发动机的电控系统构成,读取电控系统故障码的步骤,实例说明集装箱牵引车发动机故障诊断方法,从而提高故障排除效率,保证车辆的安全运行.     

引入6S管理，丰富校园文化

从党的十七大报告中的“大力发展职业教育”,到党的十八大报告中的“加快发展现代职业教育”,“现代”两字的加入,赋予了职业教育改革发展新的目标和内涵。提升职业教育质量,提高中职学生技能水平和综合素质,成为摆在我们面前的重要课题。文中通过对中职学生的现状以及6S管理与校同文化的背景、作用、意义和具体实施等方面的阐述,具体论述了我校对在“引入‘6S’管理,丰富校园文化”活动中所进行的尝试及取得的成效。     

MAN B&W 6S42MC7主机滑油压力偏高的原因分析

根据32000DWT散货船主机MAN B&W 6S42MC7出现滑油压力偏高的现象,并通过理论计算进行论证,结果表明,理论计算与现场测量结果基本吻合,同时采取了增加流量调节阀的改进措施。     

基于双协议栈的校园网IPv6过渡策略分析与实现

随着互联网的高速发展,IPv4地址日益匮乏,IPv4向IPv6过渡早已迫在眉睫.通过对双协议栈、隧道、IVI等多种IPv4 到IPv6的过渡技术的了解,并针对校园网这类高校园区网进行分析,总结得出校园网IPv4过渡到IPv6会遇到的3个常见问题.根据这3个问题,参考其他多所高校建设方案提出了使用双协议栈技术为主进行IPv4到IPv6过渡的策略为最简最优策略.然后阐述如何利用该策略实现IPv4到IPv6的过渡.     

康明斯6BT5.9-G1型柴油机启动电路故障一例

主要介绍了康明斯6BT5.9G1型柴油机启动电路的工作原理,对一例典型故障进行了分析,供从事此项工作的技术人员参考。