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    Characterizing Ride-Hailing Driver Attrition and Supply in the City of Chicago Through the COVID-19 Pandemic

    Hegde, Sharika / Abkarian, Hoseb / Mahmassani, Hani S. | Transportation Research Record | 2022

    The flexible nature of on-demand ride services provided by transportation network companies (TNC) has resulted in unique supply-side

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    Connecting Networkwide Travel Time Reliability and the Network Fundamental Diagram of Traffic Flow

    Mahmassani, Hani S. / Hou, Tian / Saberi, Meead | Transportation Research Record | 2013
    descriptors: speed, density, and flow. However, its deterministic nature does not convey the underlying variability within the network. In contrast ...

    How Many Runs? Analytical Method for Optimal Scenario Sampling to Estimate Travel Time Variance in Traffic Networks

    Kim, Jiwon / Mahmassani, Hani S. | Transportation Research Record | 2014

    Scenario-based approaches provide an effective and practical approach to capturing the probabilistic nature of travel time in a traffic

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    Modeling Competitive Strategy Choice and Cognitive Learning Dynamics

    Application to Electronic Auction Marketplaces
    Min, Yeonjoo / Mahmassani, Hani S. | Transportation Research Record | 2007
    models given a time series of auction bids and outcomes, and it formulates error structures appropriate to the highly interactive, dynamic nature ...

    On-Line Algorithms for Truck Fleet Assignment and Scheduling Under Real-Time Information

    Yang, Jian / Jaillet, Patrick / Mahmassani, Hani S. | Transportation Research Record | 1999
    algorithm is limited to relatively small problems, and given the stochastic dynamic nature of these systems, numerical experiments are performed to ...

    Reinforcement learning framework for freight demand forecasting to support operational planning decisions

    Al Hajj Hassan, Lama / Mahmassani, Hani S. / Chen, Ying | Elsevier | 2020

    Scenario-Based Approach to Analysis of Travel Time Reliability with Traffic Simulation Models

    Kim, Jiwon / Mahmassani, Hani S. / Vovsha, Peter et al. | Transportation Research Record | 2013

    This study established a conceptual framework for capturing the probabilistic nature of travel times with the use of existing traffic

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    Toll Pricing

    Computational Tests for Capturing Heterogeneity of User Preferences
    Jiang, Lan / Mahmassani, Hani S. | Transportation Research Record | 2013
    results suggest that recognizing the continuous nature of the VOT distribution is justified both with regard to accuracy and on computational ...

    Traffic Flow Breakdown Prediction using Machine Learning Approaches

    Filipovska, Monika / Mahmassani, Hani S. | Transportation Research Record | 2020
    complex interactions in traffic dynamics. Because of its stochastic nature, breakdown is commonly predicted only in a probabilistic manner. This ...

    Traffic Shockwave Detection in a Connected Environment using the Speed Distribution of Individual Vehicles

    Elfar, Amr / Xavier, Connie / Talebpour, Alireza et al. | Transportation Research Record | 2018
    which are due to the nature and accuracy of available data. Connected-vehicles technology is expected to provide reliable and accurate data ...