Publications (Last 3 years)

  • 2021
    • Z. Yi, X. C. Liu, R. Wei, X. Chen, and J. Dai, “Electric vehicle charging demand forecasting using deep learning model,” Journal of Intelligent Transportation Systems, pp. 1–14, 2021.
    • Z. Chen and X. C. Liu, “Statistical distance-based travel-time reliability measurement for freeway bottleneck identification and ranking,” Transportation Research Record, p. 03611981211017905, 2021
    • Z. Yi, X. C. Liu, R. Wei, and T. H. Grubesic, “Snowplow truck performance assessment and feature importance analysis using machine-learning techniques,” Journal of Transportation Engineering, Part A: Systems, vol. 147, no. 2, p. 04020160, 2021.
    • Z. Yi, X. C. Liu, N. Markovic, and J. Phillips, “Inferencing hourly traffic volume using data-driven machine learning and graph theory,” Computers, Environment and Urban Systems, vol. 85, p. 101548, 2021.
    • Z. Vander Laan, M. Franz, and N. Markovic, “Scalable framework for enhancing raw gps trajectory data: Application to trip analytics for transportation planning,” Journal of Big Data Analytics in Transportation, pp. 1–21, 2021.
    • A. H. Mashhadi, M. Farhadmanesh, A. Rashidi, and N. Markovic, “Review of methods for estimating construction work zone capacity,” Transportation Research Record, p. 03611981211002202, 2021.
    • F. Hossain and J. C. Medina, “Verification of usrap risk assessments for run-off and head-on crashes using field d ata,” Transportation Research Record, p. 03611981211032217, 2021.
  • 2020
    • Y. Zhou, X. C. Liu, R. Wei, and A. Golub, “Bi-objective optimization for battery electric bus deployment considering cost and environmental equity,” IEEE Transactions on Intelligent Transportation Systems, vol. 22, no. 4, pp. 2487–2497, 2020.
    • Z. Dai, X. C. Liu, X. Chen, and X. Ma, “Joint optimization of scheduling and capacity for mixed traffic with autonomous and human-driven buses: A dynamic programming approach,” Transportation Research Part C: Emerging Technologies, vol. 114, pp. 598– 619, 2020.
    • S. Miller, Z. Vander Laan, and N. Markovic, “Scaling gps trajectories to match point traffic counts: A convex programming approach and utah case study,” Transportation Research Part E: Logistics and Transportation Review, vol. 143, p. 102105, 2020.
    • S. Dabiri, N. Markovic, K. Heaslip, and C. K. Reddy, “A deep convolutional neural network based approach for vehicle classification using large-scale gps trajectory data,” Transportation Research Part C: Emerging Technologies, vol. 116, p. 102644, 2020.
    • F. Hossain and J. C. Medina, “Effects of operating speed and traffic flow on severe and fatal crashes using the us road assessment program methodology and field data verification,” Transportation research record, vol. 2674, no. 11, pp. 30–41, 2020.
  • 2019
    • Y. Zhang, D. Lin, and X. C. Liu, “Biking islands in cities: An analysis combining bike trajectory and percolation theory,” Journal of transport geography, vol. 80, p. 102497, 2019.
    • Z. Dai, X. C. Liu, Z. Chen, R. Guo, and X. Ma, “A predictive headway-based bus-holding strategy with dynamic control point selection: A cooperative game theory approach,” Transportation Research Part B: Methodological, vol. 125, pp. 29–51, 2019.
    • Z. Chen, X. C. Liu, G. Farnsworth, and K. Burns, “Validating the adaptability of travel time reliability measurements using probe data,” Transportation Research Record, vol. 2673, no. 6, pp. 57–67, 2019.
    • Z. Chen and X. C. Liu, “Roadway asset inspection sampling using high-dimensional clustering and locality-sensitivity hashing,” Computer-Aided Civil and Infrastructure Engineering, vol. 34, no. 2, pp. 116–129, 2019.
    • Z. Chen, X. C. Liu, and R. Wei, “Agent-based approach to analyzing the effects of dynamic ridesharing in a multimodal network,” Computers, Environment and Urban Systems, vol. 74, pp. 126–135, 2019.
    • M. Kim, N. Markovic, and E. Kim, “A vertical railroad alignment design with construction and operating costs,” Journal of Transportation Engineering, Part A: Systems, vol. 145, no. 10, p. 04019043, 2019.
    • N. Markovic, M. E. Kim, E. Kim, and S. Milinkovic, “A threshold policy for dispatching vehicles in demand-responsive transit systems,” Promet-Traffic &Transportation, vol. 31, no. 4, pp. 387–395, 2019.

For a complete list of publications, please visit:
google scholar icon Cathy Liu's Google Scholar
google scholar icon Juan Medina's Google Scholar
google scholar icon Nikola Markovic's Google Scholar


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Last Updated: September 9, 2021

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