Stated preference analysis of autonomous vehicle among bicyclists and pedestrians in Pittsburgh using Bayesian Networks

Author:

Imanishimwe Delphine,Kumar AmitORCID

Publisher

Elsevier BV

Subject

Public Health, Environmental and Occupational Health,Safety, Risk, Reliability and Quality,Human Factors and Ergonomics

Reference55 articles.

1. Asadi-Shekari, Z., Saadi, I., Cools, M. 2022. Applying machine learning to explore feelings about sharing the road with autonomous vehicles as a bicyclist or as a pedestrian. Sustainability 14(3), 1898. doi: 10.3390/SU14031898.

2. BikePGH. 2019. Autonomous Vehicle Survey of Bicyclists and Pedestrians in Pittsburgh - Datasets - WPRDC. https://data.wprdc.org/dataset/autonomous-vehicle-survey-of-bicyclists-and-pedestrians.

3. Board, N. T. S. (2019). Highway Accident Report: Collision Between Vehicle Controlled by Developmental Automated Driving System and Pedestrian, Tempe, Arizona, March 18, 2018. https://trid.trb.org/view/1751168.

4. Sensitivity analysis in discrete Bayesian networks;Castillo;IEEE Trans. Syst. Man Cybern. Part A: Syst. Hum.,1997

5. Claybrook, J., Science, S. K., (2018). Autonomous vehicles: No driver no regulation? Science.Org, 361(6397), 36–37. doi: 10.1126/science.aau2715.

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