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Hyoshin Park

Assistant Professor

North Carolina Agricultural and Technical State University
College
College of Engineering

Department
Computational Science & Engineering

Contact
Fort IRC 303
Education
B.S.Engineering / Yonsei University
M.S.Urban Planning and Engineering / Yonsei University
Ph.D.Civil Engineering / University of Maryland

Bio

John Park is currently an Assistant Professor at NC A&T and holds a Visiting Professorship at the NASA Jet Propulsion Laboratory of the California Institute of Technology. Dr. Park’s current research includes distributionally robust optimization-based active sensing for a wide range of federal and state government sponsors, including the National Science Foundation, USDOT, and the U.S. Department of Energy. He is a member of TRB’s Subcommittee for the Emerging Technologies in Network Modelling (ADB30).

Research Interests

Awarded Patent "Transportation Infrastructure Location and Redeployment“, USPTO, USSN 16/254,474. Dr. Park teaches in multiple departments which feature cross-listed transportation classes for modeling, visualization, optimization, and simulation of transportation systems, demand modeling, and network models. He has worked with the UDOT ITS JPO’s Professional Capacity Building Program to build training products to help improve existing resources, interact with public and private agencies to understand and collaborate on ITS training and education. His industry contributions include organizing conferences, and performing journal reviews. His professional accomplishments include 1 awarded patent, 1 pending patent, 2 book chapters, 13 peer-reviewed journal articles, and 60 peer-reviewed. He serves as PI or Co-PI on 15 research projects totaling over $3.3M.

External URL

https://johnpark.club

Recent Publications

  • Hyoshin Park, Xinlian Yu (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 (2019). (Online optimization with look-ahead for freeway emergency vehicle dispatching considering availability). 109, pp. 95--116 ). Transportation Research Part C: Emerging Technologies.
  • Ali Haghani, Michael Knodler, Hyoshin Park, Siby Samuel (2018). (Real-time prediction and avoidance of secondary crashes under unexpected traffic congestion). 112, pp. 39-49 ). Accident Analysis and Prevention.
  • Song Gao, Ali Haghani, Mike Knodler, Hyoshin Park, Siby Samuel (2018). (Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies). ). Transportation Science.
  • Deion, , Ali Haghani, Waddell Waddell (2018). (Online emergency vehicle dispatching with look-ahead on a transportation network). ). Transportation Research Part C: Emerging Technologies.
  • Hyoshin Park, Nigel Pugh (2018). ( Generalized Estimating Equation Model based Recursive Partitioning: Applied to Distracted Driving). 3245864, ). Journal of Advanced Transportation.
  • Song Gao, X Hu, Hyoshin Park, X Yu (2018). (A Markov Decision Process Approach to Vacant Taxi Routing with E-hailing). 11, pp. 12-20 ). Transportation Research Part B: Methodological.
  • Ali Haghani, Hyoshin Park (2018). (Anticipatory Dynamic Traffic Sensor Location Problems with Connected Vehicle Technologies). (6) 52, pp. 1299--1326 ). Transportation Science.
  • Hyoshin Park, Nigel Pugh (2018). (Generalized Estimating Equation Model Based Recursive Partitioning: Application to Distracted Driving). 2018, ). Journal of Advanced Transportation.
  • Song Gao, Hyoshin Park, 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.
  • Ali Haghani, Hyoshin Park (2016). (Stochastic capacity adjustment considering secondary incidents). (10) 17, pp. 2843 – 2853 ). IEEE Transactions on Intelligent Transportation Systems.
  • Ali Haghani, Hyoshin Park, Ali Shafahi (2016). (A Stochastic Emergency Response Location Model Considering Secondary Incidents on Freeways). (9) 17, pp. 2528 - 2540 ). IEEE Transactions on Intelligent Transportation Systems.
  • Joe Bared, Ali Hajbabaie, David Hale, Jia Hu, Jiaqi Ma, Hyoshin Park (2016). (Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks). 15, ). Transportation Research Procedia.
  • Ali Haghani, Hyoshin Park (2016). (Stochastic Deployment of Emergency Vehicles Considering Sequence of Incidents). ).
  • Ali Haghani, Hyoshin Park, 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.
  • Ali Haghani, Hyoshin Park (2015). (Optimal number and location of bluetooth sensors considering stochastic travel time prediction). 55, pp. 203--216 ). Transportation Research Part C: Emerging Technologies.
  • Ali Haghani, Hyoshin Park (2015). (Real-time prediction of secondary incident occurrences using vehicle probe data). 70, pp. 69--85 ). Transportation Research Part C: Emerging Technologies.
  • Ali Haghani (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.
  • Ali Haghani, Hyoshin Park (Optimal Locations of Portable Roadside Devices to Improve Arterial Traffic Mobility). ).