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Operations Research, Systems Engineering and Industrial Engineering Commons

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Iowa State University

Civil, Construction and Environmental Engineering Publications

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Full-Text Articles in Operations Research, Systems Engineering and Industrial Engineering

Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong Dec 2018

Evaluating The Reliability, Coverage, And Added Value Of Crowdsourced Traffic Incident Reports From Waze, Mostafa Amin-Naseri, Pranamesh Chakraborty, Anuj Sharma, Stephen B. Gilbert, Mingyi Hong

Civil, Construction and Environmental Engineering Publications

Traffic managers strive to have the most accurate information on road conditions, normally by using sensors and cameras, to act effectively in response to incidents. The prevalence of crowdsourced traffic information that has become available to traffic managers brings hope and yet raises important questions about the proper strategy for allocating resources to monitoring methods. Although many researchers have indicated the potential value in crowdsourced data, it is crucial to quantitatively explore its validity and coverage as a new source of data. This research studied crowdsourced data from a smartphone navigation application called Waze to identify the characteristics of this ...


Automated Vehicle Recognition With Deep Convolutional Neural Networks, Yaw Okyere Adu-Gyamfi, Noblis, Inc., Anuj Sharma, Tienaah Titus Jan 2017

Automated Vehicle Recognition With Deep Convolutional Neural Networks, Yaw Okyere Adu-Gyamfi, Noblis, Inc., Anuj Sharma, Tienaah Titus

Civil, Construction and Environmental Engineering Publications

In recent years there has been growing interest in the use of nonintrusive systems such as radar and infrared systems for vehicle recognition. State-of-the-art nonintrusive systems can report up to eight classes of vehicle types. Video-based systems, which arguably are the most popular nonintrusive detection systems, can report only very coarse classification levels (up to four classes), even with the best-performing vision systems. The present study developed a vision system that can report finer vehicle classifications according to FHWA’s scheme and is also comparable to other nonintrusive recognition systems. The proposed system decoupled object recognition into two main tasks ...