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    Short-Term Traffic Prediction on Different Types of Roads with Genetically Designed Regression and Time Delay Neural Network Models 

    Source: Journal of Computing in Civil Engineering:;2005:;Volume ( 019 ):;issue: 001
    Author(s): Ming Zhong; Satish Sharma; Pawan Lingras
    Publisher: American Society of Civil Engineers
    Abstract: Research for advanced traveler information systems (ATIS) has been focused on urban roads. However, research for short-term traffic prediction on all categories of highways is needed, as highway agencies expect to implement ...
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    Application of Neural Networks to Estimate AADT on Low-Volume Roads 

    Source: Journal of Transportation Engineering, Part A: Systems:;2001:;Volume ( 127 ):;issue: 005
    Author(s): Satish Sharma; Pawan Lingras; Fei Xu; Peter Kilburn
    Publisher: American Society of Civil Engineers
    Abstract: Artificial neural networks are applied as a means of estimating the average annual daily traffic (AADT) volume from short-period traffic counts. Fifty-five automatic traffic recorder sites located on low-volume rural roads ...
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    Statistical Investigations of Snowfall and Temperature Interaction with Passenger Car and Truck Traffic on Primary Highways in Canada 

    Source: Journal of Cold Regions Engineering:;2016:;Volume ( 030 ):;issue: 002
    Author(s): Hyuk-Jae Roh; Prasanta K. Sahu; Satish Sharma; Sandeep Datla; Babak Mehran
    Publisher: American Society of Civil Engineers
    Abstract: Winter weather conditions such as extremely cold temperatures, heavy snowfall, and high wind chills are common occurrences in Canada. Impacts of such adverse weather conditions on total highway traffic volume have been the ...
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