Refereed Publications

  • G. Yoon, H. Park, V. Pandey. Contextual artificial intelligence for electric vehicle routing with mobile wireless charging. The 103rd Annual Meeting of Transportation Research Board (TRB), Washington, DC, January, 2024.
  • G. Yoon, H. Park, K. Monast, Paratransit Routing Considering Dwell Time Uncertainty and Contexts of Requests. INFORMS Transportation and Logistics Society Second Triennial Conference, #9152, July 23 – 26, Chicago, 2023 Illinois.
  • N. Deshpande, H. Park, V. Pandey, Mixed Information Routing Framework Using Competing Equilibrium Strategy. INFORMS Transportation and Logistics Society Second Triennial Conference, #2555, July 23 – 26, Chicago, 2023 Illinois.
  • H. Park, N. Deshpande, V. Pandey, H. Sui, M. Ono, D. Barkely, D. Posselt, S. Chien, Temporal Multimodal Multivariate Learning (TMML). The SIG Knowledge Discovery and Data Mining (KDD 2022) Conference, Washington DC, USA August 14-18, 2022.
  • Y. Yupeng, Y. Jiahao and L. Dahai and L. Sang-A and N. Sirish and I. Sabique-UI and G. Huaxing and H. Park, Multi-agent collaboration for emergency evacuation using reinforcement learning for transportation systems. IEEE Journal on Miniaturization for Air and Space Systems. 2022
  • J. Darko, H. Park, Proactive Distributed Constraint Optimization of Heterogeneous Incident Vehicle Teams. International Journal of Distributed Sensor Networks. (Revision)
  • J. Darko, L. Folsom, N. Pugh, H. Park, K. Shirzad, J. Owens, A. Miller, 2022. Adaptive Personalized Routing for Vulnerable Road Users, IET Intelligent Transport Systems, 16 (8), 1011–1025.
  • L. Folsom, H. Park, V. Pandley. 2022. Dynamic Mixed Information Strategy for Heterogeneous Network Users and System Optimal Design. Frontiers in Future Transportation . 3:851069.
  • J. Darko, H. Park. Unmanned Aerial and Ground Emergency Vehicles in Traffic Incident Management: An Anticipatory Assignment Model. The 101 th Annual Meeting of Transportation Research Board, # 22-03332, Washington, DC, January, 2022.
  • L. Folsom, M. Ono, K. Otsu, H. Park, 2021. Scalable Information-Theoretic Path Planning for a RoverHelicopter Team in Uncertain Environments, International Journal of Advanced Robotic Systems 18 (2), 1–18.
  • J. Darko, L. Folom, N. Deshpande, H. Park. A new distributed agent framework for traffic incident management. ASCE International Conference on Transportation & Development (istd 2021). June, 2021.
  • L. Folom, H. Park. Multi-agent Information-Theoretic Decision-Making in Congested Network Conditions. ASCE International Conference on Transportation & Development (istd 2021). June, 2021.
  • J. Darko, H. Park. A Proactive Dynamic-Distributed Constraint Optimization Framework for Unmanned Aerial and Ground Vehicles in Traffic Incident Management. 2021 6th International Conference on Intelligent Transportation Engineering. October, 2021.
  • J. Darko, Y. Acquaah, L. Folsom, H. Park, A., Alden. DRONETIM: Dynamic Routing of Unmanned-aerial and Emergency Team Incident Management. The 99 th Annual Meeting of Transportation Research Board (tRb 2020), # 20-02283, Washington, DC, January 12–16, 2020.
  • L. Folom, H. Park. Congestion Reduction Using Information-Theoretic Multi-agent Decision-Making. 2021 Annual Meeting of the Transportation Research Forum, # 145, April, 2021.
  • J. Darko, H. Park, J. Chow. VRUPOD: Vulnerable Road User Personalized Optimum and Dynamic routing. The 8th international Symposium on Transport Network Reliability, June, 2021.
  • J. Darko, H. Park. Multimodal Public Transit Routing considering Travelers’ Risk-Preference. 2021 Annual Meeting of the Transportation Research Forum, # 154, April, 2021.
  • J. Darko, J. Darko, L. Folom, N. Deshpande, H. Park. Distributed Constraint Optimization Problem for Coordinated Response of Unmanned Aerial Vehicles and Ground Vehicles. The 55th Annual Conference on Information Sciences and Systems, # 2131, March, 2021.
  • J. Darko, H. Park. DRONETIM:Dynamic Routing Of uNmanned-aerial and Emergency Team Incident Management. The 2 nd Triennial Transportation Science and Logistics Society Conference (tsl ii), Arlington, VA, May 27–29, 2020
  • H. Park, D. Waddel, A. Haghani, 2019. Online emergency vehicle dispatching with look-ahead on a transportation network. Transportation Research Part C: Emerging Technologies 109, 95-116.
  • H. Park, A. Haghani. Connected Vehicle Sensor Location Model for Traffic Congestion Mitigation. Proceedings of the Tenth Triennial Symposium on Transportation Analysis, Hamilton Island, Australia, 17-21 June 2019.
  • D. Waddell, N. Pugh, H. Park. 2019. Visualization-based Dynamic Dispatching of First Responders. Proceedings of 98 th Annual Meeting of Transportation Research Board (tRb 2019), # 19-05569, Washington, DC, January 13–17, 2019.
  • H. Park. 2019. Sensor Deployment for Reduction of Arterial Traffic Congestion. Proceedings of 98th Annual Meeting of Transportation Research Board (tRb 2019), # 19-04832, Washington, DC, January 13–17, 2019.
  • H. Park and A. Haghani. 2019. Stochastic Dynamic Sensor Location Problem with Efficient Solutions. Proceedings of 98 th Annual Meeting of Transportation Research Board (tRb 2019), # 19-04783, Washington, DC, January 13–17, 2019.
  • D. Waddell, N. Pugh, K. Shirzad, H. Park. Simulation-Based Optimization of Emergency Response Considering Rationality of Travelers. Proceedings of the 98 th Annual Meeting of Transportation Research Board (tRb 2019), # 19-05975, Washington, DC, January 13–17, 2019.
  • C. Azevedo, R. Seshadri, S. Gao, B. Atasoy, A. Akkinepally, H. Park et al., 2018. Tripod: Sustainable Travel Incentives with Prediction, Optimization, and Personalization. The 97th Annual Meeting of Transportation Research Board (TRB 2018) Washington, DC, Paper # 18-06769, 2018.
  • S. Ayaz, S. Gao, H. Park. 2018. Cooperative Scheme - An Alternative Approach to an Equitable and Pareto-Improving Transportation System. The 97 th Annual Meeting of Transportation Research Board Washington, DC, January, 2018. Paper #18-00304
  • X. Yu, S. Gao, H. Park. 2018. Multi-Cycle Optimal Taxi Routing with E-hailing. Proceedings of the 18th COTA International Conference of Transportation Professionals (CICTP), No. 664, Beijing, China, July 5–8, 2018.
  • X. Yu, S. Gao, H. Park. 2018. Multi-Cycle Optimal Taxi Routing with E-hailing. The 97 thAnnual Meeting of Transportation Research Board, Washington, DC, January, 2018. Paper #18-04575
  • H. Park. 2018. Simulation-based Optimization for Reconfiguration of Mobile Wireless Sensor Network. IEEE Wireless Telecommunications Symposium (WTS 2018), Phoenix, Arizona.
  • H. Park. Portable traffic sensors to enhance arterial mobility. IEEE SoutheastCon 2018, St. Petersburg, FL.
  • H. Park, S. Gao, A. Haghani, M.A. Knodler, S. Samuel, 2018. Anticipatory sensor location problem in connected vehicle environment. Transportation Science 52 (6), 1299–1326, 2018.
  • S. Ayaz, S. Gao, H. Park. An Alternative Approach to Equitable and Pareto-Improving System Optimum. The 1 th Triennial Transportation Science and Logistics Society Conference (tsl i), Chicago, Illinois 2017.
  • X. Yu, S. Gao, H. Park. Muti-Cycle Optimal Taxi Routing. The 1 thTriennial Transportation Science and Logistics Society Conference (tsl i), Chicago, Illinois 2017.
  • H. Park, S. Gao, A. Haghani. Optimal relocation of portable traffic sensors to improve arterial mobility. The 96th Annual Meeting of Transportation Research Board (tRb 2017).
  • H. Park, A. Shafahi, A. Haghani, 2016. A stochastic emergency response location model considering secondary incidents on freeways. IEEE Transactions on Intelligent Transportation Systems, 17 (9), 25282540.
  • H. Park, A. Haghani. Online redeployment and routing of emergency vehicles considering sequence of incidents. The 9 th Triennial Symposium on Transportation Analysis (tRistan ix) Oranjested, Aruba, June 13-17, 2016.
  • H. Park, A. Haghani. Dynamic relocation of Bluetooth sensors for improvement of signal timing. The 9 th Triennial Symposium on Transportation Analysis (tRistan ix) Oranjested, Aruba, June 13-17, 2016.
  • H. Park, A. Haghani. Stochastic emergency response units allocation considering secondary incident occurrences. The 95 th Annual Meeting of Transportation Research Board (tRb 2016), Washington, DC, January, 2016.
  • H. Park, A. Haghani, 2015. Optimal number and location of Bluetooth sensors considering stochastic travel time prediction. Transportation Research Part C: Emerging Technologies, 55, 203-216.
  • H. Park, A. Haghani. Online emergency vehicle dispatching with look-ahead on a transportation network. The 95 th Annual Meeting of Transportation Research Board (tRb 2016), Washington, DC, January, 2016.
  • H. Park, A. Haghani. Innovative use of Bluetooth technology considering dynamic relocation. Intelligent Transportation Systems of America (its ameRica 2015) Annual Meeting and Expo, Pittsburgh, PA, May 31-June 3, 2015.
  • H. Park, A. Haghani. Optimal number and location of Bluetooth sensors considering stochastic travel time prediction. The 56 th Annual Transportation Research Forum (tRf 2015), Atlanta, GA, March, 2015.
  • Park, A. Haghani. An optimal fleet allocation of emergency response teams on freeway using a two stage stochastic programming. The 20 th Conference of the International Federation of Operational Research Societies (ifoRs 2014), Barcelona, Spain, July, 2014.
  • H. Park, A. Haghani. Improving mobility of urban arterial roads using Bluetooth technology. The 4th International Conference on Mobile Services, Resources, and Users (mobility 2014), France, 2014.
  • H. Park, A. Haghani, Y. Aliari. Optimal number and location of Bluetooth sensors on arterial roads: The stochastic and dynamic approaches. The 1 st International Conference on Engineering and Applied Sciences Optimization (opti 2014) Kos Island, Greece, June, 2014.
  • A. Neupane, V. Pandey, H. Park, Subscription models for differential access to real-time 2 information. The 103rd Annual Meeting of Transportation Research Board (TRB), Washington, DC, January, 2024.
  • H. Park, G. Yoon, I. Sundaram. Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized). The 26th IEEE International Conference on Intelligent Transportation Systems (ITSC) September 24-28, 2023, Bilbao, Spain.
  • V. Pandey, A. Neupane, H. Park, Subscription Models for Differential Access to Real-time Information. INFORMS Transportation and Logistics Society Second Triennial Conference, #621, July 23 – 26, Chicago, 2023 Illinois.
  • V. Pandey, M. McBride, H. Park, Enhancing Student Engagement and Skillsets towards Transportation Careers Using Digital Badge Program: A Case Study. 2023 ASEE Annual Conference & Exposition.
  • H. Patel, R. Zhao, H. Park, Data-Driven Machine Learning Models for Estimation of Per- and Poly-Alkyl Substances (PFAS) Partitioning on various surface materials. Association of Environmental Engineering and Science Professors (AEESP)Research and Education Conference, 2023.
  • H. Park, H. Ono, D. Posselt. Advancing Autonomous In-situ Sensing under Highly Uncertain and Turbulent Flow. IEEE Space Mission Challenges for Information Technology - IEEE Space Computing Conference (SCC), Caltech, Pasadena, CA, 18-21 July 2023.
  • H. Park, J. Darko, G. Yoon, I. Sundaram, Trip Planner MODE(Multimodal Optimal Dynamic pErsonalized). INFORMS Transportation and Logistics Society Second Triennial Conference, #5243, July 23 – 26, Chicago, 2023 Illinois.
  • J. Darko, L. Folsom, H. Park, M. Minamide, M. Ono, H. Su, 2022. UAS- based active hurricane sensing with information-theoretic path planning. Earth and Space Science, 9, e2020EA001498.
  • J. Darko, H. Park. Integrating Pedestrian Accessibility with Public Transit Routing in a Multimodal Trip Planning Framework. The 101 th Annual Meeting of Transportation Research Board, # 22-03342, Washington, DC, January, 2022.
  • N. Pugh, H. Park, 2021. High-Order Markov Model for Prediction of Secondary Crash Likelihood considering Incident Duration, Cogent Engineering, 8 (1). Taylor & Francis
  • S. Haghani, M. Bikdash, H. Park. Area-Based Backbone for Vehicular Ad-Hoc Networks. Proceedings of the IEEE SoutheastCon 2021.
  • J. Darko, H. Park Modeling and Assessing the Impact of a Traveler’s Preference on Transit RouteChoice Behavior. The 100 th Annual Meeting of Transportation Research Board (tRb 2021), # 21-02784, Washington, DC, January, 2021.
  • K Shirzad, J Darko, L Folom, N Pugh, H. Park, J Owens, A Miller. A Personalized Trip Planner for Vulnerable Road Users. The 100 th Annual Meeting of Transportation Research Board (tRb 2021), # 21-02068, Washington, DC, January, 2021.
  • L. Folsom, H. Park. Dynamic Mixed Information Strategy for Heterogeneous Network Users and System Optimal Design. The 100 th Annual Meeting of Transportation Research Board (tRb 2021), # 21-02070, Washington, DC, January, 2021.
  • S. Haghani, M. Bikdash, H. Park. Robust Virtual Backbone for Vehicular Ad-Hoc Network Reliability in Intelligent Transportation Systems. The 8 th international Symposium on Transport Network Reliability (instR 2021 ), June, 2021.
  • J. Darko, H. Park Modeling and Assessing the Impact of a Traveler’s Preference on Transit Route-Choice Behavior. North Carolina Department of Transportation Research & Innovation Summit – 2020. Poster Competition Winner.
  • J. Darko, H. Park. Vulnerable road user navigation considering perception on the transit uncertainty. The 2 nd Triennial Transportation Science and Logistics Society Conference (tsl ii), Arlington, VA, May 27–29, 2020.
  • L. Folsom, H. Park. Information-theoretic navigation and stochastic user equilibrium. The 2 ndTriennial Transportation Science and Logistics Society Conference (tsl ii), Arlington, VA, May 27–29, 2020.
  • J. Shirzad, H. Park. Adaptive Personalized Routing For Vulnerable Road Users. The 2 ndTriennial Transportation Science and Logistics Society Conference (tsl ii), Arlington, VA, May 27–29, 2020.
  • H. Park, N. Pugh, J. Darko, L. Folsom, S. Samuel, 2020. Explicit Forward Glance Duration Hidden Markov Model for Inference of Spillover Detection. In: Stanton N. (eds) Advances in Human Factors of Transportation. AHFE 2019. Advances in Intelligent Systems and Computing, vol 964. Springer, Cham.
  • H. Park, N. Pugh, 2019 Generalized Estimating Equations Model Based Recursive Partitioning: Applied to Distracted Driving. In: Stanton N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham.
  • N. Folsom, L., Darko, J., Pugh N., H. Park, N. Pugh. Travelers’ rationality in anticipatory online emergency response. 2019 Safe Systems Summit, Durham Convention Center, April 23-24, 2019.
  • H. Park, A. Haghani, M.A. Knodler, S. Samuel, March, 2018. Real-time crash prediction and avoidance under unexpected traffic congestion. Accident Analysis & Prevention, 112, 39-49.
  • H. Park, N. Pugh, P. Schonfeld. A. Haghani. Effect of Demand Shifting on Security Checkpoint Operation. The 22nd Air Transport Research Society (ATRS) World Conference, #287. Seoul, Korea, . 2018.
  • H. Park, S. Gao, S. Samuel. Modeling effects of forward roadway glance durations on latent hazard detection. The 96 th Annual Meeting of Transportation Research Board (tRb 2017).
  • H. Park, N. Pugh, 2018. Generalized Estimating Equation Model based Recursive Partitioning: Applied to Distracted Driving. Journal of Advanced Transportation,  vol. 2018, Article 3245864, 11 pages, 2018.
  • H. Park, S. Gao, S. Samuel, 2017. Modeling effects of forward roadway glance durations on latent hazard detection. TRR: Journal of the Transportation Research Board, 2663, 90-98.
  • H. Park, S. Gao, A. Haghani. Sequential interpretation and prediction of secondary incident probability in real time. The 96 th Annual Meeting of Transportation Research Board (tRb 2017).
  • H. Park. Explicit forward glance duration hidden Markov model for inference of hazard detection. Human Factors and Ergonomics Society (HFES 2017), October, Austin, Texas, 2017.
  • D. Hale, A. Hajbabaie, J. Ma, J. Hu, H. Park, J. Bared. Proposed Data-Driven Performance Measures for Comparing and Ranking Traffic Bottlenecks. The 96 th Annual Meeting of Transportation Research Board (tRb 2017).
  • H. Park, A. Haghani, 2016. Stochastic capacity adjustment considering secondary incidents. IEEE Transactions on Intelligent Transportation Systems, 17 (10), 2843-2853.
  • H. Park, A. Haghani. Stochastic capacity adjustment considering secondary incidents. The 95 thAnnual Meeting of Transportation Research Board (tRb 2016), Washington, DC, January, 2016.
  • D. Hale, A. Hajbabaie, J. Ma, J. Hu, H. Park, and J. Bared, 2016. Proposed data-driven performance measures for comparing and ranking traffic bottlenecks Transportation Research Procedia 15, 483-494.
  • H. Park, A. Haghani. Capacity adjustment considering the impact of secondary incidents. The 94th Annual Meeting of Transportation Research Board (tRb 2015), Washington, DC, January, 2015.
  • H. Park, A. Haghani, Y. Aliari. A pedagogical rule extraction from Bayesian neural networks for prediction of secondary incidents. The 1 st International Conference on Engineering and Applied Sciences Optimization (opti 2014) Kos Island, Greece, June, 2014.
  • Y. Aliari, A. Haghani, H. Park. An efficient network model for allocation of in-house and outsourced construction equipment among projects. The 1 st International Conference on Engineering and Applied Sciences Optimization (opti 2014) Kos Island, Greece, June, 2014.
  • H. Park, A. Haghani. Identification and prediction of secondary crashes using vehicle probe data. The 93rd Annual Meeting of Transportation Research Board (tRb 2014), AFB20(2) Subcommittee, Washington, DC, January, 2014.
  • H. Park, A. Haghani. Quantifying non-recurrent congestion impact on secondary incidents using probe vehicle data. The 54 th Annual Transportation Research Forum (tRf 2013), Annapolis, MD, March, 2013.
  • H. Park, A. Haghani, X. Zhang. ATIS: Interpretation of Bayesian neural network for predicting the duration of detected incidents. The 92 nd Annual Meeting of Transportation Research Board (tRb 2013), Washington, DC, January, 2013.
  • H. Park, A. Haghani., H. Masoud. Real-time filtering of vehicle probe data for secondary incident prediction. The 8 th Triennial Symposium on Transportation Analysis (tRistan viii), San Pedro de Atacama, Chile, June, 2013.
  • H. Park, A. Haghani. Identification and prediction of secondary incidents. The 9th of US–KOREA Conference (uKc 2013) , New York/New Jersey, August 7-11, 2013.
  • N. Deshpande, H. Park, V. Pandey, J. Darko. A multimodal physics-informed deep learning for traffic state prediction. The 103rd Annual Meeting of Transportation Research Board (TRB), Washington, DC, January, 2024.
  • N. Deshpande, J. Darko, H. Park, V. Pandey, G. Yoon, Physics Informed Temporal Multimodal Multivariate Learning for Short-Term Traffic State Prediction. INFORMS Transportation and Logistics Society Second Triennial Conference, #8756, July 23 – 26, Chicago, 2023 Illinois.
  • H. Park. Advancing Temporal Multimodal Multivariate Learning Physics Informed Regularization, IEEE 57th Annual Conference on Information Sciences and Systems (CISS), 1-5, 2023.
  • H. Park, H. Ono. Sequential Deep Learning Mars Autonomous Navigation. IEEE Space Mission Challenges for Information Technology - IEEE Space Computing Conference (SCC), Caltech, Pasadena, CA, 18-21 July 2023
  • H. Park. Advancing Temporal Multimodal Multivariate Learning, State of the Art in Deep Learning and Its Applications in Transportation (Workshop 5004). The 102 th Annual Meeting of Transportation Research Board (tRb 2023), # P23-21032, Washington, DC, January, 2023.
  • A. Neupane, N. Deshpande, V. Pandley, H. Park, Multimodal Learning Models for Traffic Datasets. The SIG Knowledge Discovery and Data Mining (KDD 2022) Conference, Undergraduate Consortium, Washington DC, USA August 14-18, 2022.
  • H. Patel, H. Park, R. Zhao. Developing a Machine Learning Model to Predict the Aqueous Adsorption of Per- and Poly-Fluoro Alkyl Substances (PFAS) Compounds on to Various Adsorbent Materials. 2022 Association of Environmental Engineering and Science Professors (AEESP) Research and Education Conference, St. Louis, Missouri, June 28-30, 2022.
  • M. Ono, B. Rothrock, K. Otsu,…, H. Park. MAARS: Machine learning-based Analytics for Rover Systems. Proceedings of the International IEEE 2020 Aerospace Conference (with AIAA and PHM Society as technical cosponsors), Yellowstone Conference Center, Big Sky, Montana, Mar 7-14, 2020.
  • N. Pugh, H. Park. High-Order Markov Model for Prediction of Secondary Crash Likelihood Considering Incident Duration. Proceedings of the 99 th Annual Meeting of Transportation Research Board (tRb 2020), # 20-02092, Washington, DC, January 12–16, 2020.
  • K. Shirzad, B. Vafaei, H. Park. Prediction of Critical Factor of Safety in Soil Slopes Using Adaptive Network-Based Fuzzy Inference System (ANFIS). Proceedings of the 99 th Annual Meeting of Transportation Research Board (tRb 2020), # 20-02315, Washington, DC, January 12–16, 2020.
  • Y. Acquaah, J. Vine-Hodge, H. Park. Development of multinomial and ordinal logistic models for bicyclist and pedestrian crashes across Divisions 13 and 14 of North Carolina. Proceedings of the 99th Annual Meeting of Transportation Research Board (tRb 2020), # 20-02263, Washington, DC January 12–16, 2020.
  • N. Pugh, H. Park, P. Derjany, S. Namalie, D. Liu. 2021. Deep adaptive learning for safe and efficient navigation of pedestrian dynamics. IET Intelligent Transport Systems, 15 (4), 538–548.
  • S. Haghani, S. Yi, H. Park. Predicting the Budburst of Deciduous Trees in North Carolina from the Interaction between Precipitation and Temperature. Proceedings of the IEEE SoutheastCon, Huntsville, AL, April 2019.
  • N. Pugh, H. Park. Morning Peak Hour Speed Prediction using Deep Learning Neural Networks. Proceedings of the IEEE SoutheastCon 2019, Huntsville, AL, April 2019.
  • N. Pugh, H. Park. Prediction of Secondary Crash Likelihood considering Incident Duration using High Order Markov Model. Proceedings of the IEEE SoutheastCon, Huntsville, AL, April 2019.
  • X. Yu, S. Gao, X. Hu, H. Park, 2019. A Markov Decision Process Approach to Vacant Taxi Routing with E-hailing. Transportation Research Part B: Methodological, 121, 114-134.
  • J. Darko, L. Kurkalova, H. Park. The Intensity of North Carolina Cropland Use. AAEA 2019 Annual Meeting, Atlanta, July 21-23, 2019.
  • N. Pugh, H. Park. 2018. Prediction of Red-Light Running using an Artificial Neural Network. IEEE SoutheastCon 2018, St. Petersburg, FL.
  • H. Park, A. Haghani. Use of clustering model and adjusted boxplot model for identification of secondary incidents. The 95 th Annual Meeting of Transportation Research Board (tRb 2016), Washington, DC, January, 2016.
  • H. Park, A. Haghani, 2015. Real-time prediction of secondary incident occurrences using vehicle probe data. Transportation Research Part C: Emerging Technologies, 70, 69–85.
  • H. Park, A. Haghani, X. Zhang, 2015. Interpretation of Bayesian neural networks for predicting the duration of detected incidents. Journal of Intelligent Transportation Systems: Technologies, Planning, and Operations, 20 (4), 385-400.
  • H. Park, B. Son, H. Kim. 2007. Development of accident prediction models for freeway interchange ramps. Journal of the Korean Society of Transportation, 25(3), 123-135.