mlsanityData to 14 Oct 2026

Towards Developing Socially Compliant Automated Vehicles: Advances, Expert Insights, and A Conceptual Framework

arXiv 2501.06089 ↗First posted 10 Jan 2025cs.RO cs.AI cs.LGcited by 0

Not on the map. Why?

Abstract (arXiv)

Automated Vehicles (AVs) hold promise for revolutionizing transportation by improving road safety, traffic efficiency, and overall mobility. Despite the steady advancement in high-level AVs in recent years, the transition to full automation entails a period of mixed traffic, where AVs of varying automation levels coexist with human-driven vehicles (HDVs). Making AVs socially compliant and understood by human drivers is expected to improve the safety and efficiency of mixed traffic. Thus, ensuring AVs' compatibility with HDVs and social acceptance is crucial for their successful and seamless integration into mixed traffic. However, research in this critical area of developing Socially Compliant AVs (SCAVs) remains sparse. This study carries out the first comprehensive scoping review to assess the current state of the art in developing SCAVs, identifying key concepts, methodological approaches, and research gaps. An informal expert interview was also conducted to discuss the literature review results and identify critical research gaps and expectations towards SCAVs. Based on the scoping review and expert interview input, a conceptual framework is proposed for the development of SCAVs. The conceptual framework is evaluated using an online survey targeting researchers, technicians, policymakers, and other relevant professionals worldwide. The survey results provide valuable validation and insights, affirming the significance of the proposed conceptual framework in tackling the challenges of integrating AVs into mixed-traffic environments. Additionally, future research perspectives and suggestions are discussed, contributing to the research and development agenda of SCAVs.

Key facts. No citing papers in the map yet (data through 14 Oct 2026). Builds on 37 of its 106 references that are in the map. First posted on arXiv 10 Jan 2025.

Builds on

37 of 106 references.

References · 37

  1. 2017CARLA: An Open Urban Driving Simulatorcited by 2,449
  2. 2019Argoverse: 3D Tracking and Forecasting with Rich Mapscited by 732
  3. 2018Social GAN: Socially Acceptable Trajectories with Generative Adversarial Networkscited by 690
  4. 2021Large Scale Interactive Motion Forecasting for Autonomous Driving : The Waymo Open Motion Datasetcited by 537
  5. 2018SoPhie: An Attentive GAN for Predicting Paths Compliant to Social and Physical Constraintscited by 298
  6. 2021MetaDrive: Composing Diverse Driving Scenarios for Generalizable Reinforcement Learningcited by 290
  7. 2018The highD Dataset: A Drone Dataset of Naturalistic Vehicle Trajectories on German Highways for Validation of Highly Automated Driving Systemscited by 277
  8. 2019INTERACTION Dataset: An INTERnational, Adversarial and Cooperative moTION Dataset in Interactive Driving Scenarios with Semantic Mapscited by 231
  9. 2017Social Attention: Modeling Attention in Human Crowdscited by 186
  10. 2019The inD Dataset: A Drone Dataset of Naturalistic Road User Trajectories at German Intersectionscited by 137
  11. 2020SMARTS: Scalable Multi-Agent Reinforcement Learning Training School for Autonomous Drivingcited by 121
  12. 2019Safe, Efficient, and Comfortable Velocity Control based on Reinforcement Learning for Autonomous Drivingcited by 59
25 more
  1. 2021Efficient Deep Reinforcement Learning with Imitative Expert Priors for Autonomous Drivingcited by 47
  2. 2020PANDA: A Gigapixel-level Human-centric Video Datasetcited by 45
  3. 2021Interpretable Social Anchors for Human Trajectory Forecasting in Crowdscited by 44
  4. 2021Learning to Simulate Self-Driven Particles System with Coordinated Policy Optimizationcited by 33
  5. 2020Human-Like Decision Making for Autonomous Driving: A Noncooperative Game Theoretic Approachcited by 31
  6. 2022SIND: A Drone Dataset at Signalized Intersection in Chinacited by 30
  7. 2021Social Coordination and Altruism in Autonomous Drivingcited by 28
  8. 2021EPSILON: An Efficient Planning System for Automated Vehicles in Highly Interactive Environmentscited by 22
  9. 2022Interaction-aware Decision-making for Automated Vehicles using Social Value Orientationcited by 20
  10. 2020Socially-Compatible Behavior Design of Autonomous Vehicles with Verification on Real Human Datacited by 18
  11. 2021Cooperative Autonomous Vehicles that Sympathize with Human Driverscited by 18
  12. 2020An Integrated Framework of Decision Making and Motion Planning for Autonomous Vehicles Considering Social Behaviorscited by 17
  13. 2018Courteous Autonomous Carscited by 14
  14. 2023Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehiclescited by 13
  15. 2022Safety-compliant Generative Adversarial Networks for Human Trajectory Forecastingcited by 12
  16. 2023Towards Socially Responsive Autonomous Vehicles: A Reinforcement Learning Framework with Driving Priors and Coordination Awarenesscited by 12
  17. 2021Altruistic Maneuver Planning for Cooperative Autonomous Vehicles Using Multi-agent Advantage Actor-Criticcited by 11
  18. 2021Cooperative Decision Making of Connected Automated Vehicles at Multi-lane Merging Zone: A Coalitional Game Approachcited by 10
  19. 2023Editing Driver Character: Socially-Controllable Behavior Generation for Interactive Traffic Simulationcited by 10
  20. 2019Behavior Planning of Autonomous Cars with Social Perceptioncited by 6
  21. 2023Enhancing Social Decision-Making of Autonomous Vehicles: A Mixed-Strategy Game Approach With Interaction Orientation Identificationcited by 5
  22. 2022Safe and Human-Like Autonomous Driving: A Predictor-Corrector Potential Game Approachcited by 3
  23. 2018Social Cohesion in Autonomous Drivingcited by 2
  24. 2024Towards Understanding Worldwide Cross-cultural Differences in Implicit Driving Cues: Review, Comparative Analysis, and Research Roadmapcited by 2
  25. 2023Social Occlusion Inference with Vectorized Representation for Autonomous Drivingcited by 1

Built on by

Not cited yet.