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Distributed Cognition on the road: Using EAST to explore future road transportation systems
Victoria A Banks1, Neville A Stanton2, Gary Burnett3
1Transportation Research Group, University of Southampton, UK; Human Factors Research Group, University of Nottingham, UK.
Applied Ergonomics
|February 8, 2018
Summary
Connected and Autonomous Vehicles (CAV) integration impacts transportation network dynamics. This study applies Distributed Cognition and the EAST method to model these complex sociotechnical systems effectively.
Area of Science:
- Transportation Engineering
- Cognitive Science
- Sociotechnical Systems Analysis
Background:
- Connected and Autonomous Vehicles (CAV) promise to transform transportation.
- The impact of wireless and autonomous technologies on transportation network dynamics is not fully understood.
- Modeling complex sociotechnical systems requires understanding agent interdependencies.
Purpose of the Study:
- To explore dependencies between system agents in connected and non-connected transportation systems.
- To apply Distributed Cognition principles to macro-level transportation systems.
- To demonstrate the utility of the Event Analysis of Systemic Teamwork (EAST) method for sociotechnical system modeling.
Main Methods:
- Utilizing theoretical principles of Distributed Cognition.
- Analyzing interdependencies between system agents (road environment, traffic management, external agencies).
- Employing the Event Analysis of Systemic Teamwork (EAST) visual representation method.
Main Results:
- Established a framework for understanding agent dependencies in CAV environments.
- Demonstrated the applicability of Distributed Cognition to macro-level transportation systems.
- Validated the EAST method for visualizing complex sociotechnical interactions in transportation.
Conclusions:
- Distributed Cognition offers a robust theoretical lens for analyzing CAV impacts.
- The EAST method provides effective visual representations for complex transportation sociotechnical systems.
- Further research can leverage this approach to optimize CAV integration and network management.
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