Directional motion of a self-steering active intruder in a dense crowd of cognitive active agents
Vikas Kumar Kushwaha, Priyanka Iyer, Sunil P. Singh, Gerhard Gompper · 2026
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Description
Vikas Kumar Kushwaha and co-authors published a physics paper in 2026 simulating one active particle, an intruder, moving through a dense crowd of self-steering active particles. All particles see ahead and steer to avoid collisions, and each has a limited turning ability. Computer simulations tracked the intruder's speed in its chosen direction.
Steering around neighbors did not help the intruder; it actually slowed its directed speed. Progress depended instead on neighbors seeing the intruder and moving aside in time. The crowd's own collision avoidance spread particles more evenly than random, which eased the intruder's path. Speed and sideways wandering depended on turning limits, vision angle, and crowd density. The authors note uses for emergency staff moving through crowds.
Catalog record
| CREATOR | Vikas Kumar Kushwaha, Priyanka Iyer, Sunil P. Singh, Gerhard Gompper |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 173955 |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |