Abstract

In this paper we describe cooperation and social dilemmas in multiagent systems, with an analogy applied to road traffic. Cooperative human drivers, based on their perception of trust and fairness, find efficient solutions for such dilemmas. In the development of automated vehicles (AVs) it is therefore important to ensure that this cooperative ability is maintained even without a human driver. Therefore, the topic of cooperative intelligent transport systems (C-ITSs) is discussed in detail and different characteristics of cooperation and their implementation are derived. Further, three planning levels with the corresponding communication techniques are discussed and several methods for maneuver planning are listed. All in all, we hope that this paper will allow us to better classify different cooperative scenarios, develop novel approaches for cooperative AVs (CAVs), and emphasize the need for cooperative driving.

Highlights

  • We have developed characteristics of cooperation in order to work out differences and similarities from the variety of cooperative scenarios

  • Without humans as a cooperative module, the social dilemmas that arise in daily traffic become a major challenge for automated vehicles (AVs)

  • While animals can cooperate with simple and elegant rules, these cannot be applied to our complex road traffic

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Summary

Motivation

Interaction between vehicles in road traffic is inevitable and, to date, these interactions are based on the human driving style, which depends on factors such as the drivers experience or current emotional situation. The German road traffic regulations (StVO) state in the first paragraph that “Use of the road requires constant care and mutual respect” [1] While this generic statement is understandable for a human driver, an automated system needs a clear formalization of this rule, and this so far does not exist. Imagine a situation with heterogenous agents such as fast cars and slow heavy trucks, where the trucks want to drive from the on-ramp onto the freeway. Due to their mass, their acceleration and maximal velocity are limited.

Cooperation and Social Dilemmas in Multi Agent Systems
Multi-Agent System
Overview shared environment environment working working
Cooperation
Cooperation in Road Traffic
Characteristics of Cooperation
Location
Urgency and Costs
Interaction Type
Duration
Mutuality
Preparation Time
Initiation
Examples of Cooperative Situations
Platooning
Lane Merge
Truck Overtaking
Implementation of Cooperation
Characteristics of the Cooperation Implementation
Planning Level
Communication
Maneuver Planning
Cooperation in Nature
Human Cooperation in Road Traffic
Evaluation
Evaluation for cooperation full
19 PEER 12
Evaluation of Evaluation the three planning levels for cooperation
Evaluation the
61 Internet and
Problems and Challenges
Conclusions
Full Text
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