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Now showing items 1-9 of 9
Inertial Sensor Sample Rate Selection for Ride Quality Measures
(2014)
The Road Impact Factor is a measure of ride-quality. It is derived from the average inertial
response of vehicles to road roughness. Unlike the International Roughness Index, the most
common measure, the road impact ...
Pavement Performance Evaluations Using Connected Vehicles
(2016)
The ability of any nation to support economic growth and commerce relies on their capacity to preserve and to sustain the performance of pavement assets. The ever-widening funding gap to maintain pavements challenges the ...
Precision Bounds of Pavement Distress Localization with Connected Vehicle Sensors
(2014)
Continuous, network-wide monitoring of pavement performance will significantly reduce
risks and provide an adequate volume of timely data to enable accurate maintenance forecasting.
Unfortunately, transportation agencies ...
Hyperspectral Range Imaging for Transportation Systems Evaluation
(2016)
Transportation agencies expend significant resources to inspect critical infrastructure such as roadways, railways, and
pipelines. Regular inspections identify important defects and generate data to forecast maintenance ...
Characterizing Pavement Roughness at Non-Uniform Speeds Using Connected Vehicles
(2017)
Methods of pavement roughness characterizations using connected vehicles are poised to scale beyond the frequency, span, and affordability of existing methods that require specially instrumented vehicles and skilled ...
Wavelength Sensitivity of a Connected Vehicle Method of Ride Quality Characterizations
(2017)
Researchers previously demonstrated that a roughness index called the road impact
factor (RIF) is directly proportional to the international roughness index (IRI) when
measured under identical conditions. A RIF-transform ...
Technology Developments and Impacts of Connected and Autonomous Vehicles: An Overview
(2022)
The scientific advancements in the vehicle and infrastructure automation industry are progressively improving nowadays to provide benefits for the end-users in terms of traffic congestion reduction, safety enhancements, ...
Forecasting the Effects of Autonomous Vehicles on Land Use
(2020)
The widespread availability of connected and autonomous vehicles (CAVs) will likely affect social change in terms of how people travel. Traditional methods of travel demand and land use modeling require vast amounts of ...
Mining Connected Vehicle Data for Beneficial Patterns in Dubai Taxi Operations
(2018)
On-demand shared mobility services such as Uber and micro-transit are steadily penetrating the
worldwide market for traditional dispatched taxi services. Hence, taxi companies are seeking
ways to compete. This study mined ...