Greetings! My name is Chenfeng Xiong.

I am an Assistant Research Professor at the Department of Civil and Environmental Engineering, University of Maryland, College Park. I earned my Ph.D. in Transportation Engineering from the University of Maryland in 2015. I earned M.A. in Economics and M.S. in Transportation Engineering from the University of Maryland in 2013 and 2011, respectively. My Bachelor's degree with a major in Civil Engineering was awarded at Tsinghua University, Beijing in June 2009. I am interested in understanding the fundamentals of transport systems, including travelers' choices, transport economics, representative agents, and their roles in designing smart-city and smart mobility solutions. More about me can be found in this personal webpage.

Curriculum Vitae [Download]

Google Site [Click Here]


Ph.D., Transportation Engineering, University of Maryland, 2015

M.A., Economics, University of Maryland, 2013

M.S., Civil and Environmental Engineering, University of Maryland, 2011

B.S., Civil Engineering, Tsinghua University, 2009


Transportation Systems

I work on transportation systems models. If calibrated well, a large-scale simulation-based models can replicate the real-world traffic conditions and can be used to foresee the future.

Behavioral Economics

Dynamic modeling and programming can be applied to solve often complex behavior and optimization problems. I use advanced mathematical and statistical methods to model the behavioral dynamics.

Agent-based Modeling

In many cases, the intrinsic drives of human behavior cannot be analytically expressed. And for obvious reasons, some are too subtle to empirically observed. Agent-based modeling serves as a promising alternative in this regard.


Book Chapter

[1] Xiong, C., X. Chen, and L. Zhang. Multidimensional travel decision-making: Descriptive behavioral theory and agent-based models. In Rasouli S., Timmermans, H.J.P. Eds, Bounded Rational Choice Behaviour: Applications in Transport (2015): 213-230. 2015. Emerald Group Publishing. [Post-Print]

Journal Articles

[24] C. Xiong, Yang, D., and L. Zhang. A High-Order Hidden Markov Model and Its Applications for Dynamic Car Ownership Analysis. Transportation Science. [DOI]

[25] Yang, D., C. Xiong, A. Nasri, and L. Zhang. Hidden Markov approach to dynamically modeling car ownership behavior. Transportation Research Record. Accepted. Forthcoming.

[23] Zhu, S., H. Masud, C. Xiong, Z. Yang, Y. Pan, L. Zhang. Travel behavior reactions to transit services disruptions: A case study on the Washington D.C. Metro SafeTrack Project. Transportation Research Record. Accepted. Forthcoming.

[22] Xiong, C., Y. Pan, M. Lee, Z. Zhu, and L. Zhang. Agent-based travel behavior and dynamic traffic microsimulation approach to modeling and evaluating real-Time ramp-Metering control. Transportation Research Record. Accepted. Forthcoming.

[21] Zou, M., M. Li, X. Lin, C. Xiong, C. Mao, C. Wan, K. Zhang and J. Yu. An agent-based choice model for travel mode and departure time and its case study in Beijing. Transportation Research Part C, 2016, 64: 133-147.

[20] Chen, X., C. Xiong, X. He, Z. Zhu and L. Zhang. Time-of-day vehicle mileage fees for congestion mitigation and revenue generation: A simulation-based optimization method and its real-world application. Transportation Research Part C, 2016, 63: 71-95.

[19] He, X., X. Chen, C. Xiong, Z. Zhu, and L. Zhang. Optimal Time-Varying Pricing for Toll Roads under Multiple Objectives: A Simulation-Based Optimization Approach. Transportation Science. 2016. Accepted. [DOI]

[18] Zhang, L. and C. Xiong. Travel time reliability as an emergent property of transportation networks. Transportmetrica B: Transport Dynamics, 2017, 5(1), 82-99. [DOI]

[17] Zhu, Z., B. Peng, C. Xiong and L. Zhang. Short-term traffic flow prediction with linear conditional Gaussian Bayesian network. \emph{Journal of Advanced Transportation}. 50(6), 1111--1123. 2016.

[16] Xiong, C., L. Zhang. Dynamic travel mode searching and switching analysis considering hidden modal preference and behavioral decision processes. Transportation, 2016. [DOI]

[15] Jiang X., L. Zhang, C. Xiong and R. Wang. Transportation and regional economic development: Analysis of spatial spillovers in China provincial regions. Networks and Spatial Economics. 2015.

[14] Tang, L., C. Xiong and L. Zhang. Artificial intelligence approach to modeling travel mode switching in a dynamic behavioral process. Transportation Planning and Technology. 2015.

[13] Zhu Z., C. Xiong, X. Chen, X. He and L. Zhang. An agent-based microsimulation approach for the design and evaluation of flexible work schedule policy. Transportation Research Record. 2015. [Accepted Author Manuscript]

[12] Xiong, C., X. Chen, X. He, X. Lin and L. Zhang. Agent-based en-route diversion: Dynamic behavioral responses and network performance represented by Macroscopic Fundamental Diagrams. To appear on Transportation Research Part C. 2015. [Accepted Author Manuscript]

[11] Xiong, C., X. Chen, X. He, W. Guo, and L. Zhang. The analysis of dynamic travel mode choice: a heterogeneous hidden Markov approach. To appear on Transportation Research Record. 2015. [Pre-Print]

[10] Xiong, C., Z. Zhu, X. He, X. Chen, S. Zhu, S. Mahapatra, G.L. Chang, and L. Zhang. Developing a 24-hour large-scale microscopic traffic simulation model for the before-and-after study of a new tolled freeway in the Washington DC-Baltimore region. To appear on ASCE Journal of Transportation Engineering. 2014.

[9] Wang J., C. Xiong, M. Lu, and K. Li. Influence of roadway category on longitudinal driving behaviour: an instrumented-vehicle experiment, data collection, and case study in China. To appear on IET Journal of Intelligent Transportation Systems. 2014. [Post-Print]

[8] Qiao, W., Y. Lu, C. Xiong, and A. Haghani. A game theory approach for the measurement of transport network vulnerability from the system prospective. Transportmetrica B: Transport Dynamics. 2014. 2(3):188-202. [Pre-Print]

[7] Xiong, C., P. Hetrakul, and L. Zhang. Travelers' responses to managed lanes: a lane and departure time model with latent carpooling preference. ASCE Journal of Transportation Engineering. 2014. 140(8): 04014033. [Pre-Print]

[6] Chen, X., L. Zhang, X. He, C. Xiong, Z. Li. A Surrogate-based Optimization of Average Travel Time for Highway Toll Charges in Transportation Network. 2014. Published on-line. DOI: 10.1111/mice.12058 [Full Text]

[5] Xiong, C. and L. Zhang. A descriptive Bayesian approach to modeling and calibrating drivers' en-route diversion behavior. IEEE Transactions on Intelligent Transportation Systems. 14(4): 1817-1824. 2013. [Full Text]

[4] Xiong, C. and L. Zhang. Deciding whether and how to improve statewide travel demand models based on transportation planning application needs. Transportation Planning and Technology. 36(3):244--266. 2013. doi:10.1080/03081060.2013.779473. [Full Text]

[3] Xiong, C. and L. Zhang. A Positive model of departure time choice under road pricing and uncertainty. Transportation Research Record. 2013. 2345: 117-125. [Full Text]

[2] Zhang, L., G.L. Chang, S. Zhu, C. Xiong, L. Du, M. Mostafa, N. Hopper, and S. Mahapatra. Integrating an agent-based travel behavior model with large- scale microscopic trac simulation for corridor-level and sub-area transportation operations and planning applications. ASCE Journal of Urban Planning and Development. doi:10.1061/(ASCE)UP.1943-5444.0000139. [Full Text]

[1] Zhang, L., F. Southworth, C. Xiong, and A. Sonnenberg. Methodological options and data sources for the development of long-distance passenger travel demand models: A comprehensive review. Transport Reviews. 32(4):399--433. 2012. [Full Text]

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