The Experts below are selected from a list of 63 Experts worldwide ranked by ideXlab platform

Victor Malmsten Lundgren - One of the best experts on this subject based on the ideXlab platform.

  • the best rated human machine Interface Design for autonomous vehicles in the 2016 grand cooperative driving challenge
    IEEE Transactions on Intelligent Transportation Systems, 2018
    Co-Authors: Ola Benderius, Christian Berger, Victor Malmsten Lundgren
    Abstract:

    This paper provides an in-depth description of the best rated Human-Machine Interface that was presented during the 2016 Grand Cooperative Driving Challenge. It was demonstrated by the Chalmers Truck Team as the envisioned Interface to their open source software framework OpenDLV, which is used to power Chalmers’ fleet of self-driving vehicles. The Design originates from the postulate that the vehicle is fully autonomous to handle even complex traffic scenarios. Thus, by including external and internal Interfaces, and introducing a show, don’t tell principle, it aims at fulfilling the needs of the vehicle occupants as well as other participants in the traffic environment. The Design also attempts to comply with, and slightly extend, the current traffic rules and legislation for the purpose of being realistic for full-scale implementation.

W J Zhang - One of the best experts on this subject based on the ideXlab platform.

  • an experimental study on three general Interface layout Designs for chemical process plants
    Human Factors and Ergonomics in Manufacturing & Service Industries, 2015
    Co-Authors: Changli Liu, Yanping Lin, H Teng, Zihao Wang, W J Zhang
    Abstract:

    The Human-Machine Interface Design is not a new problem; however, existing knowledge appears to be focused either on Interface conceptual Design, which determines what information at what time needs to be displayed, or on Interface detailed Design, which determines the form of display elements. This article presents a study on Interface layout Design. Three Interface layout Designs were proposed based on the proximity compatibility priniciple, which were on the same Interface conceptual Design. In particular, the first Interface layout Design is with the highest degree of proximity cognition and the second and third with a reduced degree of proximity cognition. They are called sophisticated, semisophisticated, and nonsophisticated Interfaces, respectively. An experiment with a simple process plant was conducted to understand user behaviors on the three Interfaces. It is noted that in order to provide an unbiased comparative evaluation of these Interfaces the same application problem and similar look-and-feel forms of Interfaces were Designed. In the experiment, three general classes of tasks were considered, namely, normal control operation, fault detection or monitoring, and fault diagnosis. Two categories of measures were used: the performance measure and the subjective measure. The major results obtained from the experiment are 1 the nonsophisticated Interface is the best for fault detections in terms of performance measure; besides, this Interface has the lowest mental workload for fault detection; 2 the sophisticated Interface is the best for normal operation in terms of performance measure; 3 there appears no significant difference for fault diagnosis in terms of performance measures for all these three Interfaces; 4 for normal operation and fault diagnosis, the mental workloads for the three Interfaces have no significant difference. Overall, the experiment suggests that the nonsophisticated Interface be used in practice with additional two reasons: 1 most of time in the chemical process plant today is the fault detection or operation monitoring task, and 2 it is relatively easier for the nonsophisticated Interface to adapt to changes in the chemical process plant Design, which are common in today's manufacturing environments.

Zhang Wen-jun - One of the best experts on this subject based on the ideXlab platform.

  • Experimental Study on Layout Designs for General Interface in Process Plant for Process Plants
    Machine Design and Research, 2008
    Co-Authors: Zhang Wen-jun
    Abstract:

    Operation safety in a process plant is strongly related to Human-Machine Interface Design and management. This paper presents an experimental study on the layout Design of the Interface,three kinds of layout Interfaces in the application context of the process plant were proposed,and they were called S,SS,and NS Interface,respectively. The conceptual Design of the three Interfaces followed the FBS methodology,and the layout was based on the PCP. In the experiment,three general classes of tasks were considered,namely normal control operation,fault detection and fault diagnosis. Two categories of measures were used:the performance measure and the subjective measure. The major results obtained from the experiment are:(1) NS Interface is the most effective one for fault detection; besides,it has the lowest mental workload; (2) S Interface is the best for the normal operation; (3) there appears no significant difference in the fault diagnosis for all these three Interfaces. Overall,the experimental study suggests that the NS Interface should be used in practice.

Ola Benderius - One of the best experts on this subject based on the ideXlab platform.

  • the best rated human machine Interface Design for autonomous vehicles in the 2016 grand cooperative driving challenge
    IEEE Transactions on Intelligent Transportation Systems, 2018
    Co-Authors: Ola Benderius, Christian Berger, Victor Malmsten Lundgren
    Abstract:

    This paper provides an in-depth description of the best rated Human-Machine Interface that was presented during the 2016 Grand Cooperative Driving Challenge. It was demonstrated by the Chalmers Truck Team as the envisioned Interface to their open source software framework OpenDLV, which is used to power Chalmers’ fleet of self-driving vehicles. The Design originates from the postulate that the vehicle is fully autonomous to handle even complex traffic scenarios. Thus, by including external and internal Interfaces, and introducing a show, don’t tell principle, it aims at fulfilling the needs of the vehicle occupants as well as other participants in the traffic environment. The Design also attempts to comply with, and slightly extend, the current traffic rules and legislation for the purpose of being realistic for full-scale implementation.

Sherif Gaweesh - One of the best experts on this subject based on the ideXlab platform.

  • assessment of the effectiveness of connected vehicle weather and work zone warnings in improving truck driver safety
    Iatss Research, 2020
    Co-Authors: Omar Raddaoui, Mohamed Ahmed, Sherif Gaweesh
    Abstract:

    Abstract Improving work zone safety remains a prime challenge for the transportation sector in the United States. In particular, the frequency and severity of work zone crashes involving large trucks in rural freeways are alarming. Lack of compliance with the instructions provided at work zones results in increased crash risk. In-vehicle advanced warning systems enabled by Connected Vehicle (CV) technology have the potential to prompt appropriate driver response, make navigation more predictable, and improve overall work zone safety. This study falls under the umbrella of the WYDOT Connected Vehicle Pilot Program and seeks to investigate the impacts of the Pilot's real-time weather and work zone notifications on the behavior of truck drivers in rural freeway work zone settings under poor visibility. Twenty professional truck drivers participated in this simulator study. The driving scenarios were Designed to mimic the driving conditions experienced on Wyoming Interstate 80. Findings suggest that exposure to the CV notifications has promising safety benefits manifested in improved driver behavior and response. Furthermore, both the weather and work zone notifications acquired high approval from the participants in terms of usefulness and ease of understanding. Nonetheless, the display of multiple work zone warnings on the Human Machine Interface may had introduced little to moderate distraction for some participants. Overall, this study brings forth valuable lessons that are being funneled to support informed decision making to enhance the Pilot's existing Human Machine Interface Design.