United States Department of Transportation
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Comparison of SHRP 2 Naturalistic Driving Data to Geometric Design Speed Characteristics on Freeway Ramps
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2020-08-01
[PDF-7.75 MB]
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Alternative Title:Modeling Willingness-To-Share Trips in an Autonomous Vehicle Future: A Stochastic Psychological Latent Construct Approach [Project Title From Cover]
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Edition:Final Research Report
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Abstract:Shared autonomous vehicle (SAV) systems, in which autonomous vehicles (AVs) are owned by transportation network companies that offer Mobility as a Service (MaaS) to customers, are gaining considerable research attention. SAVs have the potential to reduce vehicle ownership and parking requirements, improve traffic conditions, and minimize empty-vehicle travel. However, the extent to which each of these potentials can be achieved depends on consumers’ willingness to adopt such services as well as their disposition to sharing rides. While both MaaS and SAV adoption have received some attention in the literature (for example, Krueger et al., 2016; Rayle et al., 2016; Clewlow and Mishra, 2017; Dias et al., 2017; Lavieri et al., 2017), there is no specific discussion and measurement about willingness-to-share (WTS). The objective of this project is to develop this notion of WTS in the transportation context and propose a measuring and modeling approach to this concept. The developed modeling framework will be used to investigate variations in WTS and value of travel time (VTT) across distinct population segments for different trip purposes. Outcomes from this investigation can contribute to SAV adoption forecasts and guide SAV demand assumptions in traffic models.
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