Requirements for the Interaction With Highly Automated Construction Site Delivery Trucks

Author:

Colley Mark,Mytilineos Stefanos,Walch Marcel,Gugenheimer Jan,Rukzio Enrico

Abstract

Automated trucks for long-distance journeys seem within reach. With such automation, no human driver could be available. However, the last mile of the delivery is likely to involve humans. Therefore, either a human driver should still be present, or construction site workers must interact with the automated truck. While automated trucks capable of dealing with various construction sites could be feasible, the development could be costly and time-consuming. To define cooperative solutions for automated deliveries incorporating interaction between automated trucks and humans, a workshop with truck drivers (N= 7) was conducted. Based on this workshop, a model of the delivery process, including communication needs, is proposed. Requirements addressing the issues for highly automated delivery are derived from this process.

Publisher

Frontiers Media SA

Subject

General Medicine

Reference58 articles.

1. An experimental study to investigate design and assessment criteria: what is important for communication between pedestrians and automated vehicles?;Ackermann;Appl. Ergon,2019

2. What will the future bring? the impact of automation on skills and (un)employment;Au-Yong-Oliveira,2019

3. Evaluation of open drone map toolkit for geodetic grade aerial drone mapping-case study;Burdziakowski;17 International Multidisciplinary Scientific GeoConference SGEM 2017: Informatics, Geoinformatics and Remote Sensing Strony,2017

4. CampbellJ. F. SweeneyD. ZhangJ. Strategic Design for Delivery With Trucks and Drones. Supply Chain Analytics Report SCMA (04 2017), University of Missouri, St. Louis, United States2017

5. Evaluating highly automated trucks as signaling lights;Colley

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