IoT-Based Pothole Mapping Agent with Remote Visualization
December 25, 2022 Β· Declared Dead Β· π arXiv.org
"No code URL or promise found in abstract"
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Authors
Umar Yahya, Mwaka Lucky, Muhammed Mansoor, Nankabirwa Sharifah, Abdal Kasule, Kasagga Usama
arXiv ID
2212.14764
Category
physics.soc-ph
Cross-listed
cs.CY,
cs.RO
Citations
0
Venue
arXiv.org
Last Checked
4 months ago
Abstract
Driving through pothole infested roads is a life hazard and economically costly. The experience is even worse for motorists using the pothole filled road for the first time. Pothole-filled road networks have been associated with severe traffic jam especially during peak times of the day. Besides not being fuel consumption friendly and being time wasting, traffic jams often lead to increased carbon emissions as well as noise pollution. Moreover, the risk of fatal accidents has also been strongly associated with potholes among other road network factors. Discovering potholes prior to using a particular road is therefore of significant importance. This work presents a successful demonstration of sensor-based pothole mapping agent that captures both the pothole's depth as well as its location coordinates, parameters that are then used to generate a pothole map for the agent's entire journey. The map can thus be shared with all motorists intending to use the same route.
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