NTL-INTELLIGENT TRANSPORTATION SYSTEMS-INTELLIGENT TRANSPORTATION SYSTEMS
Abstract:
This research was funded via a ‘start-up grant’ provided by the University Transportation Research Center, Region 2. The objective is to advance the state-of-knowledge regarding Vehicle Automation technologies (cf. Anderson et al. 2014), by: 1) identifying theoretical issues raised by Vehicle Automation, and 2) supporting the collection of empirical evidence (through a Stated Preference survey instrument) to characterize consumer preferences for emerging Vehicle Automation concepts. The field data collection (n=370) was undertaken by the firm Qualtrics1. Using UTRC2 funds, Qualtrics provided n=200 completed surveys, with sampling according to a pre-specified quota plan (see Section V). This was matched with Professional Development funding provided by SUNY to support the collection of an additional n=170 completed responses, for a total achieved sample of n=370 complete responses.
Connected vehicles have the potential to transform the way Americans travel byallowing cars, buses, trucks, trains, traffic signals, smart phones, and...
The rapid development and adoption of connected and autonomous vehicles will transform the U.S. transportation system over the next 30 years. Although...
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