Ken Perrine is Director of Research Pillars Group for Texas SMARTTrack, a collection of new physical and virtual facilities for evaluating the latest transportation data and connected vehicle technologies. As the rapidly growing Austin metro area undergoes major projects to alleviate traffic congestion, Ken’s primary role is to build up capabilities within the Central Texas region for enhancing the production and sharing of many kinds of data among multiple government agencies. Core capabilities include the creation of data architectures and pipelines to maximize the effectiveness of edge computing and central high performance computing and warehousing, as well as methods for mapping various agencies’ data standards onto those of other partnering agencies. By strategically motivating an effective, concise methodology for multiple silos and technologies to translate from one domain to another, significant progress may be made for improving the safety and quality of the region’s transportation systems.
Other research interests include work within the Network Modeling Center at Center for Transportation Research – UT Austin focusing on intelligent transportation systems and data, microscopic traffic modeling, traffic system optimization, and transportation system usability. Leading to his current position, he received his computer engineering undergraduate degree with honors in Computer Engineering from Pacific Lutheran University in 1998, followed by an M.S. in Civil and Environmental Engineering from University of Washington in 2008, and M.S.E. in Electrical and Computer Engineering at from UT Austin in 2011. He has worked in high-performance computing and data visualization at Pacific Northwest National Laboratory, in the traffic management center for the Seattle Department of Transportation, and also with the US traffic signal controller software group at Siemens.
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Selected Papers
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Perrine, Kenneth, Alireza Khani, and Natalia Ruiz-Juri. “Map-Matching Algorithm for Applications in Multimodal Transportation Network Modeling.” Transportation Research Record: Journal of the Transportation Research Board 2537 (2015): 62-70. DOI: 10.3141/2537-07
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Gupta, Amit, Weijia Xu, Kenneth Perrine, Dennis Bell, and Natalia Ruiz-Juri. “On Scaling Time Dependent Shortest Path Computations for Dynamic Traffic Assignment.” 2014 IEEE International Conference on Big Data (Big Data) (2014): 796-801. DOI: 10.1109/BigData.2014.7004308
- Perrine, Kenneth A., Michael W. Levin, Cesar N. Yahia, Melissa Duell, and Stephen D. Boyles. “Implications of traffic signal cybersecurity on potential deliberate traffic disruptions.” Transportation Research Part A: Policy and Practice. Vol. 120 (2019): 58-70. DOI: 10.1016/j.tra.2018.12.009