About

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]

Education

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

Research

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.

Publication

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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