Roger Lloret-Batlle

Assistant Professor of Transportation and Logistics

NISCI (MIT-SCALE)

MIT-CTL (As Research Affiliate)

I am an Assistant Professor at Ningbo China Institute for Supply Chain Innovation (NISCI) belonging to MIT Global SCALE Network and a Research Affiliate at MIT-CTL.

I work on the design of spatio-temporal mechanisms for transportation and logistics operations. Besides market design, I have also worked on ETA prediction for vessel arrivals, traffic signal control, traffic state estimation, ridesharing and freight demand modelling.

Prior to NISCI, I was an Algorithm Engineer at DiDi Smart Transportation in Beijing, China. I obtained my PhD in Transportation Engineering from University of California, Irvine and I was a postdoc at University of Michigan, Ann Arbor.

Printable CV.

Interests

Market Design
Container Terminal Operations
Urban Logistics
Statistical Modeling
Traffic Signal Control

Education

PhD in Transportation Systems Engineering, 2017
University of California, Irvine
MSc in Transportation and Mobility, 2012
Ecole des Ponts ParisTech
Civil Engineering, 2012
Universitat Politècnica de Catalunya

Recent Publications

Zi-Hao Wang, Roger Lloret-Batlle, Jianfeng Zheng, Henry X. Liu (2023). Adaptive green split optimization for traffic control with low penetration rate trajectory data. Journal of Intelligent Transportation Systems.

DOI

Roger Lloret-Batlle, Jianfeng Zheng (2023). Jam density and stopbar location estimation with trajectory data at signalized intersections. Transportation Research Part B: Methodological.

DOI

Roger Lloret-Batlle, Zi-Hao Wang, Jianfeng Zheng (2022). Traffic Volume Estimation for both Undersaturated and Oversaturated Signalized Intersections with Stopbar Location Estimation Using Trajectory Data. Transportation Research Record.

DOI

Roger Lloret-Batlle, Zi-Hao Wang, Minjun Liu, Jianfeng Zheng, Henry X. Liu (2020). Efficient Network-wide Signal Coordination with Multiple Cycle Lengths and Trajectory Data. TRB 2020.

Roger Lloret-Batlle, R. Jayakrishnan (2018). Study of a Dynamic Cooperative Trading Queue Routing Control Scheme for Freeways and Facilities with Parallel Queues. Transportation Research Board 97th Annual Meeting. January 7-11, Washington, D.C..

arXiv

Neda Masoud, Roger Lloret-Batlle, R. Jayakrishan (2017). Using bilateral trading to increase ridership and user permanence in ridesharing systems. Transportation Research Part E: Logistics and Transportation Review.

DOI

Roger Lloret-Batlle, R. Jayakrishnan (2017). Envy-free Pricing for Collaborative Consumption of Supply in Transportation Systems. Transportation Research Procedia (ISTTT22).

DOI

Roger Lloret-Batlle, Neda Masoud, Daisik Nam (2017). Peer-to-peer ridesharing with ride-back on high-occupancy-vehicle lanes: Toward a practical alternative mode for daily commuting. Transportation Research Record.

DOI

Roger Lloret-Batlle, R. Jayakrishnan (2016). Envy-minimizing pareto efficient intersection control with brokered utility exchanges under user heterogeneity. Transportation Research Part B: Methodological.

DOI

Roger Lloret-Batlle, François Combes (2013). Estimation of an Inventory Theoretical Model of Mode Choice in Freight Transport. Transportation Research Record: Journal of the Transportation Research Board.

DOI

Roger Lloret-Batlle, Robert Ford (2009). An example conference paper. In ICW.

PDF Cite Project Slides

Recent courses

Thesis Writing for Supply Chain Management

Analytical Methods for Supply Chain Management

Bio

Roger Lloret-Batlle is an Assistant Professor at Ningbo China Institute for Supply Chain Innovation (NISCI) belonging to MIT Global SCALE Network and a Research Affiliate at MIT-CTL.

He is interested in developing market design solutions for transportation and logistics operations. His current focus is on designing mechanisms to improve the economic efficiency of container terminals. These solutions rely on connected vehicle/just-in-time arrivals technologies. Besides market design, he has also worked on ETA prediction for vessel arrivals, traffic signal control, traffic state estimation, ridesharing and freight demand modelling.

His research has been published in top transportation journals and conferences such as Transportation Research Part B, E and ISTTT. He is active in both TRB and INFORMS communities and serve as a reviewer for Transportation Science, Trans. Res. Part B, C, E, ISTTT and TRB. His multidisciplinar background covers both optimization, data science and economics.

Prior to NISCI, he was an Algorithm Engineer at DiDi Smart Transportation in Beijing, China. There, he worked on the development and implementation of adaptive traffic signal control and traffic state estimation technologies using connected vehicle data in addition to coordinating the international expansion of the business.

Roger obtained his PhD in Transportation Engineering from University of California, Irvine and was a postdoctoral scholar at University of Michigan, Ann Arbor. His dissertation developed a novel operational paradigm: decentralizing the consumption of transportation supply to the users of transportation systems.