International Journal of Transportation Science and Technology · 2017 · 269 citations · 9 references
EngineeringAutomotive EngineeringAutonomous SystemsAutonomous VehiclesTransportationTransportation EngineeringIntelligent Transportation SystemsTraffic EngineeringTraffic Impact AssessmentTraffic OperationsTraffic SafetyTransportation Policy For Older AdultsAge-friendly MobilityDeploymentImpact AssessmentIn-vehicle User ExperienceTransportation For Older AdultsTransportation Systems IntegrationTransportation TechnologiesUse Cases
Over the past decade, automated driving systems have advanced rapidly, are expected to become commercially available within a decade, and are poised to transform transportation systems in user experience, mode choices, and business models. The paper reviews the state‑of‑the‑art in ADS and outlines their deployment paths. It discusses future prospects, identifies personal mobility services and vehicle automation for aging societies as key use cases, and surveys impact‑assessment studies and methodologies for evaluating ADS. The survey of impact‑assessment studies and associated methodologies is presented, followed by concluding remarks.
Over the last decade, significant progress has been made in automated driving systems (ADS). Given the current momentum and progress, ADS can be expected to continue to advance and a variety of ADS products will become commercially available within a decade. It is envisioned that automated driving technology will lead to a paradigm shift in transportation systems in terms of user experience, mode choices, and business models. In this paper, we start with a review of the state-of-the-art in the field of ADS and their deployment paths. It is followed by a discussion of the future prospects of ADS and their effects on various aspects of the transportation field. We then identify two specific use cases of ADS where the impacts can be significant – personal mobility services and vehicle automation for aging society. A survey of impact assessment studies and the associated methodologies for evaluating ADS is given, which is followed by concluding remarks at the end of the paper.
9