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Hyoshin Park

Assistant Professor

Hyoshin Park
Google Scholar

College of Engineering

Department
Computational Science & Engineering

Education
Ph.D.Civil Engineering / University of Maryland
M.S.Urban Planning and Engineering / Yonsei University
B.S.Engineering / Yonsei University

Bio

Visit https://johnpark.club. John Park, an assistant professor of CDSE at NCA&T, is a visiting professor at the NASA Jet Propulsion Laboratory and an editor of IEEE Transactions on ITS. His 20 sponsored projects from NSF CISE, NASA JPL, USDOT, VDOT, NCDOT totaling $3.5m as a co-PI ($1.5m as a PI) and of a $7.5m UTC resulted in 2 issues patents, 2 pending patents, 19 journal articles, 69 peer-reviewed conference publications, 20 presentations, 10 awards, and 7 press releases. Below publication record is outdated and broken so visit my website https://johnpark.club or google scholar.

Research Interests

John's research has focused on knowledge discovery and data mining to understand large-scale dynamics on complex traffic networks and solve intelligent traffic decisions on high-performance parallel computing. Data mining, inference, and deep learning with TensorFlow extract multi-dimensional spatiotemporal correlations in heterogeneous networks, predict future behaviors of agents, make more informed decisions to alter future outcomes. Smart technologies (US Patent 10,743,198 for mobile sensing and US Patent 11,046,247 for in-vehicle monitoring) in the ground and air have enhanced the mobility, equity, and sustainability of smart and connected communities. The accessibility among those underserved communities was significantly improved by integrating the micromobility preference of vulnerable road users on mixed sidewalks and on-transit reliability. Safe and effective evacuation plans were developed by considering the motion of pedestrian dynamics subject to social forces.

External URL

https://johnpark.club

Recent Publications

  • Xinlian Yu, Song Gao, Xianbiao Hu, Hyoshin Park (2019). (A Markov decision process approach to vacant taxi routing with e-hailing). 121, pp. 114--134. Transportation Research Part B: Methodological.
  • Hyoshin Park, Deion Waddell, Ali Haghani (2019). (Online optimization with look-ahead for freeway emergency vehicle dispatching considering availability). 109, pp. 95--116. Transportation Research Part C: Emerging Technologies.
  • X Yu, Song Gao, X Hu, Hyoshin Park (2018). (A Markov Decision Process Approach to Vacant Taxi Routing with E-hailing). 11, pp. 12-20. Transportation Research Part B: Methodological.
  • Hyoshin Park, Ali Haghani, Song Gao, Michael Knodler, Siby Samuel (2018). (Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies). (6) 52, pp. 1299--1326. Transportation Science.
  • Hyoshin Park, Ali Haghani, Song Gao, Mike Knodler, Siby Samuel (2018). (Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies). Transportation Science.
  • Hyoshin Park, Nigel Pugh (2018). (Generalized Estimating Equation Model Based Recursive Partitioning: Application to Distracted Driving). 2018, Journal of Advanced Transportation.
  • Hyoshin Park, Nigel Pugh (2018). ( Generalized Estimating Equation Model based Recursive Partitioning: Applied to Distracted Driving). 3245864, Journal of Advanced Transportation.
  • Deion , Waddell Waddell, Ali Haghani (2018). (Online emergency vehicle dispatching with look-ahead on a transportation network). Transportation Research Part C: Emerging Technologies.
  • Hyoshin Park, Ali Haghani, Siby Samuel, Michael Knodler (2018). (Real-time prediction and avoidance of secondary crashes under unexpected traffic congestion). 112, pp. 39-49. Accident Analysis and Prevention.
  • Hyoshin Park, Song Gao, Siby Samuel (2017). (Modeling Effects of Forward Roadway Glance Durations on Latent Hazard Detection). 2663, pp. 90--98. Transportation Research Record Journal of the Transportation Research Board.
  • Hyoshin Park, Ali Shafahi, Ali Haghani (2016). (A Stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways). (9) 17, pp. 2528 - 2540. IEEE Transactions on Intelligent Transportation Systems.
  • David Hale, Ali Hajbabaie, Jiaqi Ma, Jia Hu, Hyoshin Park, Joe Bared (2016). (Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks). 15, Transportation Research Procedia.
  • Hyoshin Park, Ali Haghani (2016). (Stochastic capacity adjustment considering secondary incidents). (10) 17, pp. 2843 – 2853. IEEE Transactions on Intelligent Transportation Systems.
  • Ali Haghani, Hyoshin Park (2016). (Stochastic Deployment of Emergency Vehicles Considering Sequence of Incidents).
  • Hyoshin Park, Ali Haghani, Xin Zhang (2015). (Interpretation of Bayesian Neural Networks for Predicting the Duration of Detected Incidents). (4) 20, pp. 385--400. Journal of Intelligent Transportation Systems.
  • Hyoshin Park, Ali Haghani (2015). (Optimal number and location of bluetooth sensors considering stochastic travel time prediction). 55, pp. 203--216. Transportation Research Part C: Emerging Technologies.
  • Hyoshin Park, Ali Haghani (2015). (Real-time prediction of secondary incident occurrences using vehicle probe data). 70, pp. 69--85. Transportation Research Part C: Emerging Technologies.
  • Ali Haghani, Masoud Hamedi, Kaveh Sadabadi (2009). (I-95 CORRIDOR COALITION VEHICLE PROBE PROJECT: VALIDATION OF INRIX DATA AUGUST 2009).
  • Hyoshin Park (2007). (Development of Accident Prediction Models for Freeway Interchange Ramps). (3) 25, pp. 123--135. Journal of the Korean Society of Transportation.
  • Hyoshin Park, Ali Haghani (Optimal Locations of Portable Roadside Devices to Improve Arterial Traffic Mobility).