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#News(General) [ via IoTForIndiaGroup ]
The datasets accessible on data.geotab.com can be leveraged to help improve the efficiency of cities, discover key infrastructure challenges and guide the deployment of automated solutions for issues such as congestion, parking and poor road conditions.
The data packages are divided into two areas: Intelligent data and smart cities, which include:
Hazardous driving areas: This dataset helps identify hazardous areas for driving according to harsh braking and accident level events within a specific area. While communities may already be aware of the locations of significant road collisions, the hazardous driving areas dataset identifies locations that are also prone to near misses, resulting in the ability to prioritise and develop risk mitigation strategies.
Road impediments: Collecting and combining vehicle movement and GPS data, this dataset aims to indicate locations of abnormalities on driving surfaces such as potholes, speed bumps and general surface issues. Examining a vehicle’s up and down movements (z-axis), this dataset examines z-axis variations and location data to help identify potential road impediments.
Searching for parking: Searching for parking not only causes frustration, but also contributes to traffic congestion and additional greenhouse gas (GHG) emissions. This dataset helps by identifying areas within a city where drivers experience difficulty in finding parking. Analysis of this data has the potential to assist with optimised route planning, help guide the development of additional parking spaces and signage and help to facilitate plans for new road infrastructure.
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