Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies
Agrawal, S., Song, D., Peeta, �., & Benedyk, I. (2018). Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies (Report No. NEXTRANS Project No. 143PUY2.1). NEXTRANS Center (U.S.). https://rosap.ntl.bts.gov/view/dot/35826
Agrawal, Shubham, Dongyoon Song, Srinivas Peeta, and Irina Benedyk. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies. Report no. NEXTRANS Project No. 143PUY2.1. NEXTRANS Center (U.S.), 2018. https://rosap.ntl.bts.gov/view/dot/35826.
Agrawal, Shubham, et al. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies. NEXTRANS Center (U.S.), 2018, Report no. NEXTRANS Project No. 143PUY2.1, ROSA P. https://rosap.ntl.bts.gov/view/dot/35826.
NTL-SAFETY AND SECURITY-Highway Safety
;
NTL-INTELLIGENT TRANSPORTATION SYSTEMS-Crash Prevention and Safety
Abstract:
Advanced Traveler Information Systems (ATIS) and in-vehicle information systems (IVIS) are becoming an integral part of the current driving experience. Although information through in-vehicle technologies provides assistance to drivers with diverse travel-related information (for example, real-time traffic information, weather forecast, and warning and emergency alerts), it also entails additional cognitive workload that can cause safety hazards and behavioral inconsistencies, especially if the information delivery mechanism is not well-designed. Based on the data collected, the authors develop behavior models to investigate the impacts of cognitive effects induced by real-time traffic information along with situational factors (such as trip purpose and traffic congestion), real-time travel information characteristics (such as amount, content and source) and individual driver characteristics (such as age, gender and education) on the driver route choice decision-making process.
Agrawal, S., Song, D., Peeta, �., & Benedyk, I. (2018). Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies (Report No. NEXTRANS Project No. 143PUY2.1). NEXTRANS Center (U.S.). https://rosap.ntl.bts.gov/view/dot/35826
Agrawal, Shubham, Dongyoon Song, Srinivas Peeta, and Irina Benedyk. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies. Report no. NEXTRANS Project No. 143PUY2.1. NEXTRANS Center (U.S.), 2018. https://rosap.ntl.bts.gov/view/dot/35826.
Agrawal, Shubham, et al. Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies. NEXTRANS Center (U.S.), 2018, Report no. NEXTRANS Project No. 143PUY2.1, ROSA P. https://rosap.ntl.bts.gov/view/dot/35826.
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