Faculty Details

Photo of Sean  Qian

Sean Qian

Assistant Professor (Joint appointment with the Civil and Environmental Engineering department)


Office: HBH 2102C
Voice: 412-268-7202
Email: seanqian@cmu.edu
Personal Website

Biography

Zhen (Sean) Qian currently holds a joint appointment with Heinz College and Department of Civil and Environmental Engineering. He directs the Mobility Data Analytics Center (MAC) at CMU. Qian was most recently an assistant research professor jointly appointed at the Heinz College and Institute for Complex Engineered Systems. Qian's research lies in the integration and optimization of civil infrastructure systems. The primary focus of his research is to manage aging and overcrowded transportation infrastructure systems, and to build sustainable and resilient infrastructure networks. He is particularly interested in large-scale dynamic network modeling for multi-modal transportation systems, in development of intelligent transportation systems (ITS) and in urban system interdependency modeling.


He was a postdoctoral researcher in the Department of Civil and Environmental Engineering at Stanford University from 2011 to 2013, and received his PhD degree in Civil Engineering at the University of California, Davis.

Mobility Data Analytics Center (MAC)

Over the last decade, new technologies and innovations in transportation systems have produced massive amounts of data, which has enabled us to better monitor, evaluate and manage our transportation systems. The rich data from various sources provides unprecedented opportunity for the transportation industry to understand travel behavior and to propose efficient management strategies. However, those data sources are usually established by disparate public agencies and private companies. They rarely communicate with each other and as a result, data is only used and analyzed for a particular piece of the transportation system, such as an intersection, a stretch of freeway or bus routes operated by the same agency. With disparate data sources, each part of the system is individually operated and clearly the entire transportation system is far from being socially optimal. 

The Mobility Data Analytics Center (MAC) aims to collect, integrate and learn from the massive amounts of mobility data and contribute to the development of smarter multi-modal multi-jurisdictional transportations systems. The ultimate objective of MAC is to:
  • Provide archived and real-time traffic data of each element of multi-modal transportation systems
  • Reveal the behavior information for both passenger transportation and freight transportation
  • Serve as a key instrument for managing transportation systems
  • Target a range of users including legislators, transportation planners, engineers, researchers, travelers and companies.

Selected Publications

  • Tamarazian, A., Qian, S., and Rajagopal, R. (2015) "Where is my parking spot? On-line and off-line prediction of time-varying parking occupancy", accepted for publication in Journal of Transportation Research Record.
  • Qian, S., and Rajagopal, R. (2014) "Optimal dynamic pricing for morning commute parking", accepted for publication in Transpormetrica A: Transport Science.
  • Qian, S., and Rajagopal, R. (2014) "Optimal Dynamic Parking Pricing for Morning Commute Considering Expected Cruising Time" Transportation Research Part C, Vol.48, pp.468-490.
  • Qian, S., and Rajagopal, R. (2014) "Optimal occupancy-driven parking pricing under demand uncertainties and traveler heterogeneity: a stochastic control approach" Transportation Research Part B, Vol.67, pp.144-165.
  • Xiao, F., Qian, Z. S., and Zhang, M. (2013) "Managing bottleneck congestion with tradable credits" Transportation Research Part B, Vol.56, pp.1-14.
  • Qian, Z. S., and Zhang, M. (2013) "Full Closure or Partial Closure? Evaluation of Construction Plans for the I-5 Closure in Downtown Sacramento" Journal of Transportation Engineering ASCE, Vol 139(3), pp. 273-286.
  • Qian, Z. S., and Zhang, M. (2012) "On centroid connectors in static traffic assignment: their effects on flow patterns and how to optimize their selections" Transportation Research Part B, Vol.46(10), pp. 1489-1503.
  • Qian, Z. S., Xiao, F., and Zhang, M. (2012) "Managing morning commute with parking" Transportation Research Part B, Vol.46(7), pp. 894-916.
  • Qian, Z. S., Shen, W., and Zhang, M. (2012) "Solving path-based system-optimal dynamic traffic assignment considering queue spillback" Transportation Research Part B, Vol.46(7), pp. 874-893.
  • Qian, Z. S., Xiao, F., and Zhang, M. (2011) "The economics of parking provision for the morning commute" Transportation Research Part A, Vol.45(9), pp. 861-879
  • Qian, Z. S., and Zhang, M. (2011) "Modeling multi-modal morning commute in a one-to-one corridor network" Transportation Research Part C, Vol. 19(2), pp. 254-269

Recent Awards and Honors

  • 2013: Berkman Faculty Development Grant
  • 2013: IBM Faculty Award
  • 2009: Sustainable Transportation Center Dissertation Fellowship

Research Interests


Dynamic large-scale network modeling, Intelligent transportation system (ITS), Urban systems interdependency, Parking management, Infrastructure resilience, Multi-modal transportation modeling, Transportation economics and policy, Traffic operations

Education


PhD 2011, University of California Davis
MS 2012, Stanford University
MS 2006, Tsinghua University
BS 2004, Tsinghua University