scholarly journals Results and Lessons Learned of a Subjective Field Operational Test on the Lane Departure Warning Function

2012 ◽  
Vol 48 ◽  
pp. 1356-1365
Author(s):  
Gianfranco Burzio ◽  
Leandro Guidotti ◽  
Guido Perboli ◽  
Roberto Tadei ◽  
Francesco Tesauri
Keyword(s):  
Lessons Learned ◽  
Lane Departure Warning ◽  
Lane Departure ◽  
Operational Test ◽  
Field Operational Test

San Diego Field Operational Test of Smart Call Boxes: Institutional Issues

1997 ◽  
Vol 1603 (1) ◽  
pp. 20-26 ◽  
Author(s):  
James H. Banks ◽  
Patrick A. Powell
Keyword(s):  
Intelligent Transportation Systems ◽  
San Diego ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Lessons Learned ◽  
Institutional Infrastructure ◽  
Institutional Issues ◽  
Operational Test ◽  
Field Operational Test ◽  
Definition Of

Important institutional lessons learned in the course of the San Diego smart call box field operational test are presented. These lessons relate both to the conduct of the field test itself and to requirements for deployment of intelligent transportation systems similar to smart call boxes. The institutional issues were identified through review of project documents, interviews with participants, and the experience of the evaluator as a participant in the project. Issues were analyzed by preparing summaries that included a description and discussion of each issue, an assessment of its seriousness, identification of the organizational participants who raised it, a discussion of ways to avoid or mitigate any problems identified, and a list of actions to resolve the issue in the event of system deployment. Major institutional lessons include the potential impact of institutional arrangements on basic system concepts, the importance of involving potential users in the definition of system concepts and detailed design specifications, the need for quantitative market research to establish the potential profitability of intelligent transportation systems, the need for an adequate institutional infrastructure for deployment, and the importance of project organization schemes that minimize the number and complexity of formal agreements among participants.

Framework for Testing Innovative Transportation Solutions

2005 ◽  
Vol 1927 (1) ◽  
pp. 149-157 ◽  
Author(s):  
Susan A. Shaheen ◽  
Linda Novick
Keyword(s):  
Stated Preference ◽  
Model Development ◽  
The United States ◽  
Lessons Learned ◽  
Pilot Program ◽  
Operational Test ◽  
Commercial Operation ◽  
Field Operational Test ◽  
Pilot Programs ◽  
Transit Connectivity

Transit accounts for just 2% of total travel in the United States. One reason for low ridership is limited access; many individuals either live or work too far from a transit station to make its use practical. In developing transit connectivity solutions, researchers often employ a range of study instruments, such as stated-preference surveys, focus groups, and pilot programs. To gain better understanding of response to one innovative transit solution, several research tools were applied, including a longitudinal survey, a field test, and a pilot program. The innovation examined was a commuter carsharing model, called CarLink, which linked short-term rental vehicles to transit and employment centers. Over several years, researchers explored user response to the CarLink concept, a field operational test (CarLink I), a pilot program (CarLink II), and a commercial operation (the pilot was turned over to Flexcar in summer 2002). This multistage approach provided an opportunity for researchers to learn and adapt as each phase progressed. In this paper, the authors outline the CarLink model, technology, and early lessons learned; describe CarLink II operational understanding; provide a synopsis of the pilot program transition; and offer recommendations for future model development.

Evaluation of Anaheim Adaptive Control Field Operational Test: Institutional Issues

1999 ◽  
Vol 1683 (1) ◽  
pp. 67-77 ◽  
Author(s):  
Michael G. McNally ◽  
Stephen P. Mattingly ◽  
James E. Moore ◽  
Hsi-Hwa Hu ◽  
C. Arthur MacCarley ◽  
...  
Keyword(s):  
Adaptive Control ◽  
Control Field ◽  
Institutional Issues ◽  
Operational Test ◽  
Field Operational Test

Unmanned Aerial Vehicle Operational Test and Evaluation Lessons Learned

2003 ◽  
Author(s):  
Lee Carr ◽  
Kristen Lambrecht ◽  
Scott Shaw ◽  
Greg Whittier ◽  
Catherine Warner
Keyword(s):  
Unmanned Aerial Vehicle ◽  
Lessons Learned ◽  
Test And Evaluation ◽  
Operational Test ◽  
Aerial Vehicle ◽  
Operational Test And Evaluation

scholarly journals Using ADAS to Future-Proof Roads—Comparison of Fog Line Detection from an In-Vehicle Camera and Mobile Retroreflectometer

Sensors ◽  
2021 ◽  
Vol 21 (5) ◽  
pp. 1737
Author(s):  
Ane Dalsnes Storsæter ◽  
Kelly Pitera ◽  
Edward McCormack
Keyword(s):  
Warning System ◽  
Management Systems ◽  
Warning Systems ◽  
Lane Departure Warning ◽  
Automated Driving ◽  
Pavement Markings ◽  
Lighting Conditions ◽  
Lane Marking ◽  
Lane Departure ◽  
Pavement Marking

Pavement markings are used to convey positioning information to both humans and automated driving systems. As automated driving is increasingly being adopted to support safety, it is important to understand how successfully sensor systems can interpret these markings. In this effort, an in-vehicle lane departure warning system was compared to data collected simultaneously from an externally mounted mobile retroreflectometer. The test, performed over 200 km of driving on three different routes in variable lighting conditions and road classes found that, depending on conditions, the retroreflectometer could predict whether the car’s lane departure systems would detect markings in 92% to 98% of cases. The test demonstrated that automated driving systems can be used to monitor the state of pavement markings and can provide input on how to design and maintain road infrastructure to support automated driving features. Since data about the condition of lane marking from multiple lane departure warning systems (crowd-sourced data) can provide input into the pavement marking management systems operated by many road owners, these findings also indicate that these automated driving sensors have an important role in enhancing the maintenance of pavement markings.

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