When walking in open space, collision avoidance with other pedestrians is a process that successfully takes place many times. To pass another pedestrian (an interferer) walking direction, walking speed or both can be adjusted. Currently, the literature is not yet conclusive of how humans adjust these two parameters in the presence of an interferer. This impedes the development of models predicting general obstacle avoidance strategies in humans’ walking behavior. The aim of this study was to investigate the adjustments of path and speed when a pedestrian is crossing a non-reactive human interferer at different angles and speeds, and to compare the results to general model predictions. To do so, we designed an experiment where a pedestrian walked a 12 m distance to reach a goal position. The task was designed in such a way that collision with an interferer would always occur if the pedestrian would not apply a correction of movement path or speed. Results revealed a strong dependence of path and speed adjustments on crossing angle and walking speed, suggesting local planning of the collision avoidance strategy. Crossing at acute angles (i.e. 45° and 90°) seems to require more complex collision avoidance strategies involving both path and speed adjustments than crossing at obtuse angles, where only path adjustments were observed. Overall, the results were incompatible with predictions from existing models of locomotor collision avoidance. The observed initiations of both adjustments suggest a collision avoidance strategy that is temporally controlled. The present study provides a comprehensive picture of human collision avoidance strategies in walking, which can be used to evaluate and adjust existing pedestrian dynamics models, or serve as an empirical basis to develop new models.
References
[1]
Basili P, Sa？lam M, Kruse T, Huber M, Kirsch A, et al. (2013) Strategies of locomotor collision avoidance. Gait Posture 37(3): 385–390. doi: 10.1016/j.gaitpost.2012.08.003
[2]
Hicheur H, Pham QC, Arechavaleta G, Laumond JP, Berthoz A (2007) The formation of trajectories during goal-oriented locomotion in humans. I. A stereotyped behavior. Eur J Neurosci 26(8): 2376–239. doi: 10.1111/j.1460-9568.2007.05836.x
Fajen BR, Warren WH (2007) Behavioral dynamics of intercepting a moving target. Exp Brain Res 180(2): 303–319. doi: 10.1007/s00221-007-0859-6
[5]
Moussaid M, Helbing D, Garnier S, Johansson A, Combe M, et al. (2009) Experimental study of the behavioural mechanisms underlying self-organization in human crowds. Proc Biol Sci. 276(1668): 2755–2762. doi: 10.1098/rspb.2009.0405
[6]
Jansen SE, Toet A, Werkhoven PJ (2011) Human locomotion through a multiple obstacle environment: strategy changes as a result of visual field limitation. Exp Brain Res 212(3): 449–456. doi: 10.1007/s00221-011-2757-1
[7]
Moussaid M, Helbing D, Theraulaz G (2011) How simple rules determine pedestrian behavior and crowd disasters. Proc Natl Acad Sci U S A 108(17): 6884–6888. doi: 10.1073/pnas.1016507108
[8]
Cinelli CE, Patla AE (2008) Task-specific modulations of locomotor action parameters based on on-line visual information during collision avoidance with moving objects. Hum Mov Sci. 27(3): 513–531. doi: 10.1016/j.humov.2007.10.001
[9]
Cinelli ME, Patla AE (2008) Locomotor avoidance behaviours during a visually guided task involving an approaching object. Gait Posture 28(4): 596–601. doi: 10.1016/j.gaitpost.2008.04.006
[10]
Olivier AH, Marin A, Crétual A, Berthoz A, Pettré J (2013) Collision avoidance between two walkers: Role-dependent strategies. Gait Posture 38(4): 751–756. doi: 10.1016/j.gaitpost.2013.03.017
[11]
Helbing D, Molnar P (1995) Social force model for pedestrian dynamics. Phys Rev E Stat Phys Plasmas Fluids Relat Interdiscip Topics 51(5): 4282–4286. doi: 10.1103/physreve.51.4282
[12]
Karamouzas I, Heil P, van Beek P, Overmars MH (2009) A predictive collision avoidance model for pedestrian simulation. In: Egges A, Geraerts R, Overmars M, editors: Motion in Games 2009, Springer-Verlag Berlin. 41–52.
[13]
Pham QC, Hicheur H, Arechavaleta G, Laumond JP, Berthoz A (2007) The formation of trajectories during goal-oriented locomotion in humans. II. A maximum smoothness model. Eur J Neurosci 26(8): 2391–2403. doi: 10.1111/j.1460-9568.2007.05835.x
[14]
Pham QC, Hicheur H (2009) On the Open-Loop and Feedback Processes That Underlie the Formation of Trajectories During Visual and Nonvisual Locomotion in Humans. J Neurophysiol 102(5): 2800–2815. doi: 10.1152/jn.00284.2009
[15]
Tresilian JR (1999) Visually timed action: time-out for “tau?”. Trends Cogn Sci 3(8): 301–310. doi: 10.1016/s1364-6613(99)01352-2
[16]
Olivier AH, Marin A, Crétual A, Pettré J (2012) Minimal predicted distance: A common metric for collision avoidance during pairwise interactions between walkers. Gait Posture 36(3): 399–404. doi: 10.1016/j.gaitpost.2012.03.021
[17]
Hicheur H, Vieilledent S, Richardson MJE, Flash T, Berthoz A (2005) Velocity and curvature in human locomotion along complex curved paths: a comparison with hand movements. Exp Brain Res 162(2): 145–154. doi: 10.1007/s00221-004-2122-8
[18]
Gérin-Lajoie M, Richards CL, Fung J, McFadyen BJ (2008) Characteristics of personal space during obstacle circumvention in physical and virtual environments. Gait Posture 27(2): 239–247. doi: 10.1016/j.gaitpost.2007.03.015
[19]
Paris S, Pettré J, Donikian S (2007) Pedestrian reactive navigation for crowd simulation: a predictive approach. Comput Graph Forum 26(3): 665–674. doi: 10.1111/j.1467-8659.2007.01090.x
[20]
Hoogendoorn SP (2004) Pedestrian flow modeling by adaptive control. Transportation Research Record: Journal of the Transportation Research Board 1878(1): 95–103. doi: 10.3141/1878-12
[21]
Reynolds CW (1999) Steering behaviors for autonomous characters. Proceedings of the Game Developers Conference: 763–782.
[22]
Fox D, Burgard W, Thrun S (1997) The dynamic window approach to collision avoidance. IEEE Robotics and Automation Magazine 4(1): 23–33. doi: 10.1109/100.580977
[23]
Patla AE, Adkin A, Ballard T (1999) Online steering: coordination and control of body center of mass, head and body reorientation. Exp Brain Res 129(4): 629–634. doi: 10.1007/s002210050932
[24]
Cinelli ME, Patla AE (2007) Travel path conditions dictate the manner in which individuals avoid collisions. Gait Posture 26(2): 186–193. doi: 10.1016/j.gaitpost.2006.08.012
[25]
Marigold DS, Weerdesteyn V, Patla AE, Duysens J (2007) Keep looking ahead? Re-direction of visual fixation does not always occur during an unpredictable obstacle avoidance task. Exp Brain Res 176(1): 32–42. doi: 10.1007/s00221-006-0598-0
[26]
Cinelli M, Warren WH (2012) Do walkers follow their heads? Investigating the role of head rotation in locomotor control. Exp Brain Res 219(2): 175–190. doi: 10.1007/s00221-012-3077-9
[27]
Fajen BR (2013) Guiding locomotion in complex, dynamic environments. Front Behav Neurosci 7: 85. doi: 10.3389/fnbeh.2013.00085
