Accelerated Evaluation of Automated Vehicles in Lane Change Scenarios

2015 ◽  
Author(s):  
Ding Zhao ◽  
Huei Peng ◽  
Henry Lam ◽  
Shan Bao ◽  
Kazutoshi Nobukawa ◽  
...  
Keyword(s):  
Evaluation Process ◽  
Statistical Information ◽  
Automated Vehicles ◽  
Safety Critical ◽  
Evaluation Approach ◽  
Pilot Model ◽  
Human Driver ◽  
Operational Test ◽  
Field Operational Test ◽  
Low Exposure

It is important to rigorously and comprehensively evaluate the safety of Automated Vehicles (AVs) before their production and deployment. A popular AV evaluation approach is Naturalistic-Field Operational Test (N-FOT) which tests prototype vehicles directly on public roads. Due to the low exposure to safety-critical scenarios, N-FOTs is time-consuming and expensive to conduct. Computer simulations can be used as an alternative to N-FOTs, especially in terms of generating motions of the surrounding traffic. In this paper, we propose an accelerated evaluation approach for AVs. Human-controlled vehicles (HVs) were modeled as disturbance to AVs based on data extracted from the Safety Pilot Model Deployment Program. The cut-in scenarios are generated based on skewed statistics of collected human driver behavior, which amplifies riskier testing scenarios while reserves its statistical information so that the safety benefits of AV in non-accelerated cases can be accurately estimated. An AV model based on a production vehicle was tested. Results show that the proposed method can accelerate the evaluation process by at least 100 times.

scholarly journals Connected and Automated Vehicles

2016 ◽  
Vol 138 (12) ◽  
pp. S5-S11 ◽  
Author(s):  
Huei Peng
Keyword(s):  
Extended Period ◽  
University Of Michigan ◽  
Automated Vehicles ◽  
Operational Test ◽  
Field Operational Test ◽  
Dynamics And Control ◽  
Private Research ◽  
Vehicle Technologies ◽  
The University ◽  
And Control

This article focuses on dynamics and control of connected and automated vehicles. The complexity and difficulty can grow significantly from low automation levels to higher levels. The paper briefly highlights three challenges, i.e., sensing, localization, and perception. The Mobility Transformation Center (MTC) is a public/private research and development partnership led by the University of Michigan. MTC aims to develop the foundations for a viable ecosystem of CAVs. A popular alternative to test high-automation-level AVs is the Naturalistic-Field Operational Test (N-FOT). In an N-FOT, a number of equipped vehicles are tested under naturalistic driving conditions over an extended period. In the near future, connected and automated vehicle technologies are expected to be deployed rapidly. While there has been a lot of research in, and attention to, the field of sensing, localization, and perception, this paper aims to point out a few areas related to the field of dynamics and control that are opportunities for further research.

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

scholarly journals EVALUASI IMPLEMENTASI KEBIJAKAN NO. 12 TAHUN 2012 TENTANG TUNTUTAN PENGELOLAAN KURIKULUM

2017 ◽  
Vol 8 (1) ◽  
pp. 1
Author(s):  
Dwi Deswary
Keyword(s):  
Learning Strategies ◽  
Implementation Strategies ◽  
Qualitative Evaluation ◽  
Evaluation Process ◽  
Product Evaluation ◽  
Education Management ◽  
Evaluation Approach ◽  
Process Learning ◽  
Research Findings ◽  
Goals And Objectives

This study aims to determine (1) The results of the input evaluation; (2) The results of the evaluation process; and (3) The results of the product evaluation on the policy implementation of Act 12 of the year 2012 on the Program Study of Education Management, Postgraduate Program, University State of Jakarta (UNJ). The research method was a qualitative evaluation approach. Data collected by conducting an analysis of document-based curriculum KKNI to determine the success of the implementation by stages conducted at Postgraduate Program Study of Education Management. The data were analysed descriptively and meaning on any research findings conducted qualitatively. Stages of meaning carried out through the following stages: (1) Data Collection; (2) Data Reduction; and (3) Data Display. Based on the results of input evaluation which performed on the curriculum document, known that the preparation Program Study based on curriculum KKNI of Education Management Postgraduate Program is equipped with a clear legal basis, the formulation of goals and objectives. In the aspect of supporting resources for curriculum development, Progam Study has form data analysis of curriculum results, planned programs and implementation strategies. In the process, learning strategies are divided into two approaches, namely direct and indirect approaches. In evaluating, the results are more geared towards the achievement of the program on implementation of policies based on curriculum KKNI in Postgraduate Program Study of Education Management by a predetermined time phase, namely the achievement during the short-term period (1 to 2 years).

Human Driver Post-Takeover Driving Performance in Highly Automated Vehicles

2021 ◽  
pp. 115-136
Author(s):  
James W.H. Brown ◽  
Kirsten M. A. Revell ◽  
Joy Richardson ◽  
Ioannis Politis ◽  
Patrick Langdon ◽  
...  
Keyword(s):  
Driving Performance ◽  
Automated Vehicles ◽  
Human Driver

Driver Behavior Analysis Using Vehicle Safety Systems’ Field Operational Test Data

2012 ◽  
Author(s):  
Tashi Ngamdung ◽  
Marco daSilva
Keyword(s):  
The United States ◽  
Older Drivers ◽  
Innovative Technology ◽  
Highway Traffic ◽  
Middle Aged ◽  
National Highway Traffic Safety ◽  
Operational Test ◽  
Field Operational Test ◽  
Grade Crossing ◽  
Grade Crossings

The United States Department of Transportation’s (US DOT) Research and Innovative Technology Administration’s John A. Volpe National Transportation Systems Center (Volpe Center), under the direction of the US DOT Federal Railroad Administration (FRA) Office of Research and Development (R&D), is leveraging the National Highway Traffic Safety Administration (NHTSA) sponsored Integrated Vehicle Based Safety System (IVBSS) Light Vehicle (LV) Field Operational Test (FOT) to collect and analyze drivers’ activities at or on approach to highway-rail grade crossings. Grade crossings in Michigan, Indiana, and Ohio were cross-referenced with IVBSS LV FOT research vehicle location to identify the time research vehicles were present at a crossing. The IVBSS LV FOT included 108 participants that took a total of 22,656 trips. Of the 22,656 total trips, 3,137 trips included a total of 4,215 grade crossing events. The analysis was based of drivers’ activities at the 4,215 grade crossing events. Both looking behavior and distractions did not significantly differ based on gender. However when analyzed per age-group, younger drivers (between 20 to 30 years old) were significantly more likely to be distracted than middle-aged drivers (between 40 to 50 years old) or older drivers (between 60 to 70 years old). For looking behavior, the data revealed that older drivers are more likely to look at least one way at or on approach to highway-rail crossing (43.8 percent exhibited this behavior) than either middle-aged drivers (35.0 percent exhibited this behavior) or younger drivers (25.3 percent exhibited this behavior).

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