Journal
PHYSICA A-STATISTICAL MECHANICS AND ITS APPLICATIONS
Volume 514, Issue -, Pages 786-795Publisher
ELSEVIER
DOI: 10.1016/j.physa.2018.09.136
Keywords
Car-following; Long memory; Hysteresis; Deep learning
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Funding
- National Natural Science Foundation of China [61790565]
- Beijing Municipal Science and Technology Commission Program, China [D171100000317002]
- Beijing Municipal Commission of Transport, China [ZC179074Z]
- Natural Science Foundation of Beijing Municipality, China [9172013]
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Whether long memory effect plays an important role in car-following models remains unsolved. In this paper, we study the possible relationship between long memory effect and hysteresis phenomena observed in practice. Especially, we have compared the performance of different deep learning based car-following models that take various time-scale historical information as inputs. Test show that hysteresis phenomena can be correctly simulated only by car-following models with long memory. So, we argue that car-following models should embed long memory effect appropriately. (C) 2018 Elsevier B.V. All rights reserved.
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