Internet of things (IoT) for optimum bus infrastructure
Rapid population growths or rural to urban migration and importation of small cheap private cars (mishikashika) has brought a lot of disarray in the public transport sector resulting n increased accidents ,traffic jams and inefficient transportation solutions in most major cities. The traditionally...
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Language: | English |
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Midlands State University
2019
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Online Access: | http://hdl.handle.net/11408/3573 |
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author | Kadzimu, Tapiwa |
author_facet | Kadzimu, Tapiwa |
author_sort | Kadzimu, Tapiwa |
collection | DSpace |
description | Rapid population growths or rural to urban migration and importation of small cheap private cars (mishikashika) has brought a lot of disarray in the public transport sector resulting n increased accidents ,traffic jams and inefficient transportation solutions in most major cities. The traditionally safer bus system is now underutilized and also ne sprouting illegal suburbs which are densely populated are being poorly serviced in terms of transport systems .this project seeks to bring an efficient solution for bus/transport allocation which is based on demand and fluctuations in demand during the whole day .it uses cameras and computer algorithms based on the open cv library suites to check bus stop status and alert the transport managers on which routes to prioritise as they can see the traffic profiles of different bus stops .computer learning ,human recognition and detection are the main concepts that are employed by this project to meet its objectives. |
id | ir-11408-3573 |
institution | My University |
language | English |
publishDate | 2019 |
publisher | Midlands State University |
record_format | dspace |
spelling | ir-11408-35732022-06-27T13:49:05Z Internet of things (IoT) for optimum bus infrastructure Kadzimu, Tapiwa Population growth Urban migration Rural migration Rapid population growths or rural to urban migration and importation of small cheap private cars (mishikashika) has brought a lot of disarray in the public transport sector resulting n increased accidents ,traffic jams and inefficient transportation solutions in most major cities. The traditionally safer bus system is now underutilized and also ne sprouting illegal suburbs which are densely populated are being poorly serviced in terms of transport systems .this project seeks to bring an efficient solution for bus/transport allocation which is based on demand and fluctuations in demand during the whole day .it uses cameras and computer algorithms based on the open cv library suites to check bus stop status and alert the transport managers on which routes to prioritise as they can see the traffic profiles of different bus stops .computer learning ,human recognition and detection are the main concepts that are employed by this project to meet its objectives. 2019-04-26T08:02:42Z 2019-04-26T08:02:42Z 2018 http://hdl.handle.net/11408/3573 en open Midlands State University |
spellingShingle | Population growth Urban migration Rural migration Kadzimu, Tapiwa Internet of things (IoT) for optimum bus infrastructure |
title | Internet of things (IoT) for optimum bus infrastructure |
title_full | Internet of things (IoT) for optimum bus infrastructure |
title_fullStr | Internet of things (IoT) for optimum bus infrastructure |
title_full_unstemmed | Internet of things (IoT) for optimum bus infrastructure |
title_short | Internet of things (IoT) for optimum bus infrastructure |
title_sort | internet of things (iot) for optimum bus infrastructure |
topic | Population growth Urban migration Rural migration |
url | http://hdl.handle.net/11408/3573 |
work_keys_str_mv | AT kadzimutapiwa internetofthingsiotforoptimumbusinfrastructure |