Aging drivers and post delineated express lanes: Threading the needle at 70 miles per hour

2020 ◽  
Vol 74 ◽  
pp. 396-407
Author(s):  
Patricia C. Tice ◽  
Mustapha Mouloua ◽  
Hatem Abou-Senna
Keyword(s):  
Express Lanes ◽  
Aging Drivers

Controlling the state of a motorway using express lanes

2015 ◽  
Vol 54 (3) ◽  
pp. 440-457
Author(s):  
E. G. Dorogush ◽  
A. A. Kurzhanskiy
Keyword(s):  
The State ◽  
Express Lanes

scholarly journals Tinted windshield and its effects on aging drivers’ visual acuity and glare response

2008 ◽  
Vol 46 (8) ◽  
pp. 1223-1233 ◽  
Author(s):  
Wen Shi ◽  
Thurmon E. Lockhart ◽  
Mehran Arbab
Keyword(s):  
Visual Acuity ◽  
Aging Drivers

Dynamic Value Pricing on I-15 in San Diego: Impact on Travel Time and Its Reliability

2003 ◽  
Vol 1839 (1) ◽  
pp. 45-54 ◽  
Author(s):  
Janusz Supernak ◽  
Christine Kaschade ◽  
Duane Steffey
Keyword(s):  
Travel Time ◽  
San Diego ◽  
Time Profile ◽  
Travel Times ◽  
Case Scenario ◽  
Worst Case ◽  
San Diego State University ◽  
Time Changes ◽  
Value Pricing ◽  
Express Lanes

Selected results are presented of the Traffic Study, one of 12 studies conducted by San Diego State University for the I-15 Congestion (Value) Pricing Project in San Diego, a 3-year demonstration. The focus is on the project's impact on travel times and their distribution on both the main lanes and the express lanes of I-15 for both ExpressPass and FasTrak phases of the project. Specifically addressed is the issue of reliability of on-time arrival enjoyed by the FasTrak subscribers and the high variability of travel times for the I-15 travelers who use only main lanes of I-15 for their commute. Examination of the ramp and freeway delays shows that in the worst-case scenario, FasTrak subscribers who use express lanes can save up to 20 min avoiding delay on the I-15 main lanes. This finding agrees with the drivers’ perceptions about their time savings when using FasTrak. Travel-time changes during the duration of the project also are examined. There were substantial year-to-year changes in travel times along the I-15 main lanes and the I-8 lanes used as control. The travel-time profile along the I-15 main lanes differed significantly from the profile along I-8, the control corridor, in both a.m. and p.m. peak periods.

scholarly journals Semi-Autonomous Vehicles as a Cognitive Assistive Device for Older Adults

Geriatrics ◽  
2019 ◽  
Vol 4 (4) ◽  
pp. 63
Author(s):  
Frank Knoefel ◽  
Bruce Wallace ◽  
Rafik Goubran ◽  
Iman Sabra ◽  
Shawn Marshall
Keyword(s):  
Older Adults ◽  
Autonomous Vehicles ◽  
Cognitive Change ◽  
Health Needs ◽  
Assistive Device ◽  
Cognitive Changes ◽  
Age Related ◽  
Vehicle Automation ◽  
The Impact ◽  
Aging Drivers

Losing the capacity to drive due to age-related cognitive decline can have a detrimental impact on the daily life functioning of older adults living alone and in remote areas. Semi-autonomous vehicles (SAVs) could have the potential to preserve driving independence of this population with high health needs. This paper explores if SAVs could be used as a cognitive assistive device for older aging drivers with cognitive challenges. We illustrate the impact of age-related changes of cognitive functions on driving capacity. Furthermore, following an overview on the current state of SAVs, we propose a model for connecting cognitive health needs of older drivers to SAVs. The model demonstrates the connections between cognitive changes experienced by aging drivers, their impact on actual driving, car sensors’ features, and vehicle automation. Finally, we present challenges that should be considered when using the constantly changing smart vehicle technology, adapting it to aging drivers and vice versa. This paper sheds light on age-related cognitive characteristics that should be considered when developing future SAVs manufacturing policies which may potentially help decrease the impact of cognitive change on older adult drivers.

scholarly journals An Analysis of Express Lanes in Utah

2016 ◽  
Vol 15 ◽  
pp. 561-572 ◽  
Author(s):  
Grant Schultz ◽  
Samuel Mineer ◽  
Cody Hamblin
Keyword(s):  
Express Lanes

Multiple Uses of Big Data for Model Validation and Express Lanes Traffic Forecasts

2020 ◽  
Vol 2674 (11) ◽  
pp. 87-100
Author(s):  
Amar Sarvepalli ◽  
Barbara Davis
Keyword(s):  
Big Data ◽  
Model Validation ◽  
Dynamic Traffic Assignment ◽  
Length Distribution ◽  
Distribution Model ◽  
Tourist Attractions ◽  
Matrix Estimation ◽  
Seasonal Flow ◽  
Investment Grade ◽  
Express Lanes

This paper highlights a variety of uses for Big Data when developing project forecasts and model validations. In most travel models, validation often refers to estimating model volumes close to the observed highway counts. While this is an established practice for producing reasonable confidence in the model, these statistics are often not sufficient to build confidence in the project forecast. This is especially true for investment-grade level traffic and revenue forecasts for projects involving congestion pricing. This paper explores the application of Big Data to validate subarea models in multiple dimensions: subarea district-to-district origin-destination (O-D) flows; corridor segment-to-segment O-D flows; and trip length distribution by O-D types for the I-4 Ultimate Express Lanes Study. Additionally, the paper reviews historical O-D flows to determine the peak seasonal flow and appropriate O-D data to use in model validation and seed tables for Origin-Destination Matrix Estimation (ODME). In addition to model validation, the expanded Big Data O-D trips were assigned to multiple paths for each O-D pair built via Google Directions API to study the eligible corridor trips and the alternative corridors competing with the project. Furthermore, spatiotemporal distributions from Big Data were used to develop time-dependent trip tables for the Dynamic Traffic Assignment (DTA) model. Several international tourist attractions located along the I-4 Ultimate Corridor serve high visitor and weekend traffic, and Big Data was used to analyze and develop a weekend distribution model. Each of these modules involves some form of observed data, all coming from one source, “Big Data.”

Residual effects of hypnotic drugs in aging drivers submitted to simulated accident scenarios: an exploratory study

2009 ◽  
Vol 207 (3) ◽  
pp. 461-467 ◽  
Author(s):  
Mohamed Meskali ◽  
Catherine Berthelon ◽  
Sullivan Marie ◽  
Pierre Denise ◽  
Marie-Laure Bocca
Keyword(s):  
Exploratory Study ◽  
Residual Effects ◽  
Hypnotic Drugs ◽  
Accident Scenarios ◽  
Aging Drivers

scholarly journals Exploring How Hearing, Vision, and Cognition Affect Older Adults’ Driving Exposure Patterns

2020 ◽  
Vol 4 (Supplement_1) ◽  
pp. 617-617
Author(s):  
Jonathon Vivoda ◽  
Lisa Molnar ◽  
David Eby ◽  
Jennifer Zakrajsek ◽  
Nicole Zanier ◽  
...  
Keyword(s):  
Older Adults ◽  
Visual Acuity ◽  
Longitudinal Research ◽  
Hearing Aid ◽  
Lower Percentage ◽  
Hearing Aid Use ◽  
Exposure Patterns ◽  
Trail Making ◽  
Objectively Measured ◽  
Aging Drivers

Abstract Better information is needed about how declines in sensory and cognitive function affect older drivers. This study assessed how hearing loss affects engagement in four challenging driving patterns. Data from the AAA Longitudinal Research on Aging Drivers study was used, including objectively-measured driving; three measures of hearing: reported hearing aid use, self-rated hearing, and the Whisper Test; visual acuity (Tumbling E); and cognition (Trail Making B). Failing the Whisper Test in both ears was related to significantly lower percentage of trips (%trips) at night, on freeways, and during rush hour, but a higher %trips >15 miles. Hearing aid use and self-rated hearing were not associated with any driving differences. Worse vision was related to a lower %trips >15 miles, while worse cognition was associated with a lower %trips at night, on freeways, and during rush hour. The Whisper Test interacted with cognition for rush hour trips.

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