Lightning Talk 1: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption

Title: Developing Platooning Systems of Connected and Automated Vehicles with Guaranteed Stability and Robustness against Degradation due to Communication Disruption
Authors: Yuan Zheng, Yu Zhang, Xu Qu, Shen Li, Bin Ran
Abstract: Connected and automated vehicle platooning systems like cooperative adaptive cruise control (CACC) have shown great potential on improving traffic performance with a shortened time gap through advanced sensing and Vehicle-to-Vehicle (V2V) communication technologies. However, V2V communication is not always reliable in realistic traffic conditions. ...
Keywords: communication disruption; cooperative adaptive cruise control; adaptive cruise control; stability analysis; delay robustness

By |2024-07-30T15:34:43-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Data Driven Origin-Destination Matrix Estimation on Large Networks – A Joint Origin-Destination-Path-Choice Formulation

Title: Data Driven Origin-Destination Matrix Estimation on Large Networks - A Joint Origin-Destination-Path-Choice Formulation
Authors: Yumin Cao, Hans van Lint, Panchamy Krishnakumari, Michiel Bliemer
Abstract: This paper presents a novel approach to data-driven time-dependent origin-destination (OD) estimation using a joint origin-destination-path choice formulation, inspired by the well-known equivalence of doubly constraint gravity models and multinomial logit models for joint O-D choice. This new formulation provides a theoretical basis and generalize...
Keywords: Dynamic OD matrix estimation; Gravity model; Joint origin-destination-path choice; Principal component analysis

By |2024-07-31T01:26:13-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Optimal Operation Strategies of an Urban Crowdshipping Platform in Asset-Light, Asset-Medium, or Asset-Heavy Business Format

Title: Optimal Operation Strategies of an Urban Crowdshipping Platform in Asset-Light, Asset-Medium, or Asset-Heavy Business Format
Authors: Zhuoye Zhang, Fangni Zhang
Abstract: This paper investigates the operation strategies of an urban crowdshipping platform, which utilizes the latent capacity of the traveling ‘crowd’ in the transportation system to facilitate parcel delivery. We develop an analytical model to characterize the decision-making and operation strategies of a crowdshipping operator in alternative business f...
Keywords: Crowdshipping; Two-sided market; Asset-light; Asset-medium; Asset-heavy

By |2024-07-30T15:42:56-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Physics-Informed Machine Learning for Calibrating Macroscopic Traffic Flow Models

Title: Physics-Informed Machine Learning for Calibrating Macroscopic Traffic Flow Models
Authors: Yu Tang, Li Jin, Kaan Ozbay
Abstract: Well-calibrated traffic flow models are fundamental to understanding traffic phenomena and designing control strategies. Traditional calibration has been developed based on optimization methods. In this paper, we propose a novel physics-informed, learning-based calibration approach that achieves performances comparable to and even better than those...
Keywords: Physics-informed learning; Parameter identification; Traffic flow models

By |2024-07-30T15:42:53-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Optimizing OD-Based Up-Front Discounting Strategies for Enroute Ridepooling Services

Title: Optimizing OD-Based Up-Front Discounting Strategies for Enroute Ridepooling Services
Authors: Siying Wang, Xiaolei Wang, Chen Yang, Wei Liu, Xiaoning Zhang
Abstract: The technological progress in the recent decade has greatly facilitated the large-scale implementation of dynamic enroute ridepooling services, such as Uber Pool and DiDi Pinche. To sustain a profitable dynamic ridepooling service, a well-designed pricing scheme is crucial. This paper focuses on the optimization of up-front discounting strategies f...
Keywords: enroute ridepooling; up-front pricing strategy; derivative-free optimization

By |2024-07-30T15:34:44-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Two-Step Quadratic Programming for Physically Meaningful Smoothing of Longitudinal Vehicle Trajectories

Title: Two-Step Quadratic Programming for Physically Meaningful Smoothing of Longitudinal Vehicle Trajectories
Authors: Ximeng Fan, Wen-Long Jin, Penghang Yin
Abstract: Longitudinal vehicle trajectories suffer from errors and noise due to detection and extraction techniques, challenging their applications. Existing smoothing methods either lack physical meaning or cannot ensure solution existence and uniqueness. To address this, we propose a two-step quadratic programming method that aligns smoothed speeds and hig...
Keywords: Longitudinal vehicle trajectories; discrepancy and roughness; two-step quadratic programming; existence and uniqueness; NGSIM and highD data

By |2024-07-30T15:42:52-04:00June 17, 2024||0 Comments
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Lightning Talk 1: A Two-Sided Equilibrium Model of Vehicle-To-Vehicle Charging Platform

Title: A Two-Sided Equilibrium Model of Vehicle-To-Vehicle Charging Platform
Authors: Xuekai Cen, Kanghui Ren, Enoch Lee, Hong K. Lo
Abstract: A novel mobile charging service utilizing vehicle-to-vehicle (V2V) charging technology has been proposed as a complement to fixed charging infrastructure (CI), enabling electric vehicles (EVs) to exchange electricity. This study develops a two-sided equilibrium model for a V2V charging platform, where the demand-side Charging Vehicles (CVs) choose ...
Keywords: Electric Vehicle; Vehicle-to-Vehicle; Charging; Non-cooperative Game; Nash Bargaining

By |2024-07-30T15:34:42-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Transit Fares Integrating Alternative Modes as a Delay Insurance

Title: Transit Fares Integrating Alternative Modes as a Delay Insurance
Authors: Yihe Zhou, Wenzhe Sun, Jan-Dirk Schmöcker
Abstract: Public transport (PT) fare policy remains subject to innovations, not least evident in the Mobility as a Service discussion. Mode integration and related fare strategies can be used to increase the attractiveness of PT by compensating for potential delays. This study proposes “premium fares” as a novel pricing tool that can evaluate and improve the...
Keywords: Travel time reliability; Delay insurance; Premium fare; Integrated multimodal transport; Nonlinear and dynamic programming

By |2024-07-30T15:34:44-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Stability Analysis of a Departure Time Choice Problem with Atomic Vehicle Models

Title: Stability Analysis of a Departure Time Choice Problem with Atomic Vehicle Models
Authors: Koki Satsukawa, Kentaro Wada, Takamasa Iryo
Abstract: In this study, we analyse the global stability of the equilibrium in a departure time choice problem using a game-theoretic approach that deals with atomic users. We first formulate the departure time choice problem as a strategic game in which atomic users select departure times to minimise their trip cost; we call this game the ‘departure time ch...
Keywords: Convergence/stability; Departure time choice problem; Evolutionary dynamics; Epsilon-Nash equilibrium; Atomic users

By |2024-07-30T15:42:00-04:00June 17, 2024||0 Comments
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Lightning Talk 1: Modeling Residual-Vehicle Effects in Undersaturation Conditions on Uncertainty Estimation of the Connected Vehicle Penetration Rate

Title: Modeling Residual-Vehicle Effects in Undersaturation Conditions on Uncertainty Estimation of the Connected Vehicle Penetration Rate
Authors: Shaocheng Jia, S.C. Wong, Wai Wong
Abstract: In the transition to full deployment of connected vehicles (CVs), the CV penetration rate plays a key role in bridging the gap between partial and complete traffic information. Several innovative methods have been proposed to estimate the CV penetration rate using only CV data. However, these methods, as point estimators, may lead to biased estimat...
Keywords: Connected vehicle penetration rate uncertainty; probabilistic penetration rate model; residual vehicle estimation; Markov-constrained queue; length model; signal control with uncertainty

By |2024-07-30T15:34:43-04:00June 17, 2024||0 Comments
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