Linda Angell

affiliation not provided to SSRN

SCHOLARLY PAPERS

7

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Scholarly Papers (7)

1.

Glass Half-Full: On-Road Glance Metrics Differentiate Crashes from Near-Crashes in the 100-Car Data

MIT Center for Transportation & Logistics Research Paper No. 2017/007, Accident Analysis & Prevention, volume 107, 2017[10.1016/j.aap.2017.07.021]
Posted: 28 Apr 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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100-Car, Attention management, Driver distraction

2.

Differentiating Cognitive Load Using a Modified Version of Attend

MIT Center for Transportation & Logistics Research Paper No. 2017/026
Posted: 28 Apr 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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AttenD, Cognitive Load, Voice Interface

3.

Evaluating Demands Associated with the Use of Voice-Based In-Vehicle Interfaces

MIT Center for Transportation & Logistics Research Paper No. 2016/020, Proceedings of the Human Factors and Ergonomics Society Annual Meeting, volume 60, issue 1, 2016[10.1177/1541931213601472]
Posted: 28 Apr 2025
Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, University of Utah, affiliation not provided to SSRN and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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4.

Linking the Detection Response Task and the Attend Algorithm Through Assessment of Human-Machine Interface Workload

MIT Center for Transportation & Logistics Research Paper No. 2017/025, Transportation Research Record: Journal of the Transportation Research Board, volume 2663, issue 1, 2017[10.3141/2663-11]
Posted: 28 Apr 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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5.

What Can Be Predicted from Six Seconds of Driver Glances?

MIT Center for Transportation & Logistics Research Paper No. 2017/012
Posted: 28 Apr 2025
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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Driver state prediction, Gaze patterns, Hidden Markov models

6.

Non-Driving-Related Task Engagement: The Role of Speed

MIT Center for Transportation & Logistics Research Paper No. 2022/019, Safety, volume 8, issue 2, 2022[10.3390/safety8020034]
Posted: 25 Apr 2025
affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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attention, driver distraction, naturalistic driving study

7.

Evaluating the Associations between Forward Collision Warning Severity and Driving Context

MIT Center for Transportation & Logistics Research Paper No. 2022/012, Safety, volume 8, issue 1, 2022[10.3390/safety8010005]
Posted: 25 Apr 2025
affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics, affiliation not provided to SSRN, Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics and Massachusetts Institute of Technology (MIT) - Center for Transportation & Logistics

Abstract:

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Crash avoidance, Forward collision warnings, Naturalistic driving study