Analytical Data Fusion Approaches to Update Mobility Patterns in Real-time.

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Event details

Date 16.06.2025
Hour 11:0012:00
Location
Category Conferences - Seminars
Event Language English

ABSTRACT
Conventional activity-based models primarily rely on household travel survey (HTS) data, which often suffers from low spatial heterogeneity due to limited sampling rates. Passively collected mobility (PCM) data, such as cellular traces and transit smart card, offers extensive spatial coverage but poses significant challenges for integration with HTS data because of differences in spatial resolution and attributes. To address these limitations, this study introduces a novel data fusion approach that combines the strengths of both data sources. The proposed method focuses on two key components: first, the generation of multimodal time-dependent origin-destination (OD) matrices by integrating HTS and PCM data to improve the representation of multimodal travel demand; second, the development of complete activity schedules for synthetic populations by fusing the OD matrices generated in the first step with HTS data. With the integration of PCM data, this approach enables the estimation and real-time updating of multimodal OD demand matrices and activity schedules, paving the way for more dynamic, data-driven, and resilient transportation planning.  

BIO
Dr Prateek Bansal is a Presidential Young (Assistant) Professor at the National University of Singapore (NUS). Before joining NUS in 2022, he was a Leverhulme Trust Early Career Fellow at Imperial College London and did a Ph.D. from Cornell, an MSc from UT Austin, a BTech from IIT Delhi. Prateek leads the Behavioural Cognitive Science Lab at NUS and is a co-principal investigator of the Adaptive Mobility module at Future Cities Laboratory, Singapore. His research group is interested in creating new methods to address challenging questions related to mobility behavior and the adoption of emerging technologies at an individual level and an urban scale. His research has led to over 70 journal articles. Apart from top Transportation journals, he regularly publishes in interdisciplinary journals like Energy Economics and Statistics and Computing. He also serves as the editorial board member of Transportation Research Part A: Policy and Practice, Transportation Research Part B: Methodological, and Journal of Choice Modelling, among others. He is a member of the TRB’s standing committees on Travel Survey Methods (AEP25) and Travel Forecasting (AEP50), and a regular board member of the International Association of Travel Behavior Research (IATBR).  
 

Practical information

  • Informed public
  • Free

Organizer

  • HOMES - Prof. Kenan Zhang

Contact

  • Prof. Kenan Zhang
    Administrative: Mélanie Thuillard

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