Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies

Agrawal, Shubham; Song, Dongyoon; Peeta, Srinivas; Benedyk, Irina; NEXTRANS Center (U.S.); Purdue University. School of Civil Engineering

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Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies

2018-01-31
By Agrawal, Shubham ; Song, Dongyoon ; Peeta, Srinivas ; ...

[PDF-780.73 KB]

English

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Details:

Creators:

Agrawal, Shubham ; Song, Dongyoon ; Peeta, Srinivas ; Benedyk, Irina

Agrawal, Shubham ; Song, Dongyoon ; Peeta, Srinivas ; Benedyk, Irina Less -
Corporate Creators:

NEXTRANS Center (U.S.) ; Purdue University. School of Civil Engineering

NEXTRANS Center (U.S.) ; Purdue University. School of Civil Engineering Less -
Corporate Contributors:

United States. Dept. of Transportation. Office of the Secretary for Research and Technology
Subject/TRT Terms:

[+]

Advanced Traveler Information Systems Behavior Cognition Data And Information Technology Decision Making Drivers Driving Simulators Highways Physiology Real Time Information Route Choice Safety And Human Factors
Publication/ Report Number:

NEXTRANS Project No. 143PUY2.1
Resource Type:

Tech Report
Geographical Coverage:

Indianapolis (Indiana)
Corporate Publisher:

NEXTRANS Center (U.S.) ; Purdue University

NEXTRANS Center (U.S.) ; Purdue University Less -
NTL Classification:

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.
Format:

PDF
Alternate URL:

http://www.purdue.edu/discoverypark/nextrans/assets/pdfs/142PUY2.2_Summary%20and%20Final%20Technical%20Report.pdf
Funding:

DTRT12-G-UTC05
Collection(s):

US Transportation Collection
Main Document Checksum:

[+]

urn:sha256:5596e7e18b0e4c28fe3f9878d32ef9dfde62aeacbd8dd9c7db1fdcccb9721a2d
Download URL:

https://rosap.ntl.bts.gov/view/dot/35826/dot_35826_DS1.pdf
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Driving Simulator Based Interactive Experiments : Understanding Driver Behavior, Cognition and Technology Uptake under Information and Communication Technologies

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