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Traffic Regulation at Critical Intersections: A Case Study of Odole Intersection, Akure, Ondo State, Nigeria

Open Journal of Civil Engineering 2016年第2期6卷 94-104页

作者： olumuyiwa samson aderinola David Oladotun Owolabi Department of Civil and Environmental Engineering Federal University of Technology Akure Nigeria

Traffic congestion on major roads consequent upon existing bottlenecks at intersections is a major problem in Akure Metropolis. To change this trend, this research was carried out in order to design effective traffic control mechanisms at the “troubled spots” in the metropolis. Odole intersection was identified as one of the critical intersections during a reconnaissance survey and as such, selected for study. Data on geometric features were collected using Oedometer and Google Earth software. Peak and off-peak traffic volume data were collected between 7:30 and 8:30 am and between 12.00 noon and 1.00 pm respectively every other day using Cine camera. Furthermore, discharge headway and delay data were collected using stop watch. The geometric and traffic data collected were analysed using Microsoft Excel. An appraisal of Odole Intersection indicated that the major contributors to traffic are Motorcycles (70.88%) and Passenger Cars (28.72%). Other modes of transportation account for about 0.4% of vehicles traversing the intersection. The critical traffic volume at the intersection was over 4000 veh/hr and the average delay was 22 seconds. An Average delay of 22 seconds at the intersection was an indication that the operating level of service was C (i.e. fairly stable traffic condition with average delays attributable to traffic control by personnel). By juxtaposing the results of geometric and traffic data analyses with the pros and cons of various traffic control mechanisms, traffic control by signalisation was selected and designed to suit Odole intersection. In tandem with the results of this research, appropriate measures have been recommended to ameliorate traffic and commuting problems in the metropolis.

关键词： Traffic Congestion Traffic Data Signalisation

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Incomplete COVID-19 Data: The Curation of Medical Health Data by the Virus Outbreak Data Network-Africa

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Data Intelligence 2022年第4期4卷 673-697,1033-1034,1036,1039-1042,1045-1051,1053页

作者： Mirjam Van Reisen Francisca Onaolapo Oladipo Mouhamed Mpezamihigo Ruduan Plug Mariam Basajja Aliya Aktau Putu Hadi Purnama Jati Reginald Nalugala Sakinat Folorunso samson Yohannes Amare Ibrahim Abdulahi Oluwole olumuyiwa Afolabi Ezra Mwesigwa Getu Tadele Taye Abdulahi Kawu Mariem Ghardallou Yan Liang Obinna Osigwe Araya Abrha Medhanyie Munyaradzi Mawere Leiden University Medical Centre 1310the Netherlands Leiden University 1310the Netherlands Tilburg University School of Humanities and Digital Sciences 1310the Netherlands VODAN-Africa 260101 Kampala International University P.O.Box 20000Uganda Federal University Lokoja Nigeria Central Bureau of Statistics 81119Indonesia Tangaza University College P.O.Box 15055Karen Nairobi Code 00509Kenya Olabisi Onabanjo University P.M.B 2002Ago-IwoyeOgun StateNigeria 120005Nigeria Mekelle University P.O.Box 231Ethiopia Ibrahim Badamasi Babangida University 911101Nigeria Makerere University P.O.Box 7062 KampalaUganda Universitéde Sousse 4002 SousseTunisia Great Zimbabwe University P.O.Box 1235 MasvingoZimbabwe

The incompleteness of patient health data is a threat to the management of COVID-19 in Africa and *** has become particularly clear with the recent emergence of new variants of *** Virus Outbreak Data Network(VODAN)-Africa has studied the curation of patient health data in selected African countries and identified that health information flows often do not involve the use of health data at the point of care,which renders data production largely meaningless to those producing *** modus operandi leads to disfranchisement over the control of health data,which is extracted to be processed *** response to this problem,VODAN-Africa studied whether or not a design that makes local ownership and repositing of data central to the data curation process,would have a greater chance of being *** design team based their work on the legal requirements of the European Union’s General Data Protection Regulation(GDPR);the FAIR Guidelines on curating data as Findable,Accessible(under well-defined conditions),Interoperable and Reusable(FAIR);and national regulations applying in the context where the data is *** study concluded that the visiting of data curated as machine actionable and reposited in the locale where the data is produced and renders services has great potential for access to a wider variety of data.A condition of such innovation is that the innovation team is intradisciplinary,involving stakeholders and experts from all of the places where the innovation is designed,and employs a methodology of co-creation and capacity-building.

关键词： FAIR Guidelines FAIR Equivalency Federated data Digital health GDPR VODAN-Africa

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