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Traffic Dynamics: Studies in Car Following
Abstract
The manner in which vehicles follow each other on a highway (without passing) and the propagation disturbances down a line of vehicles has been investigated. Experimental data is presented which indicates that the acceleration at time t of a car which is attempting to follow a leader is proportional to the difference in velocity of the two cars at a time (t − Δ), Δ being about 1.5 sec and the proportionality constant being about 0.37 sec−1. It is shown theoretically that the motion of a long line of vehicles becomes unstable when the product of the lag time and the proportionality constant exceeds one-half. The experimental data implies that driving is done on the verge of instability. A variety of other laws of following is analyzed theoretically.
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Citations
Cited by
Congested traffic states in empirical observations and microscopic simulations
Treiber, M., Hennecke, A., & Helbing, D. (2000) · Physical Review E · doi:10.1103/physreve.62.1805 · Cited by 4,762
Influence of connected and autonomous vehicles on traffic flow stability and throughput
Talebpour, A., & Mahmassani, H. S. (2016) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2016.07.007 · Cited by 1,388
Experimental Features of Self-Organization in Traffic Flow
Kerner, B. S. (1998) · Physical Review Letters · doi:10.1103/physrevlett.81.3797 · Cited by 561
Human-like autonomous car-following model with deep reinforcement learning
Zhu, M., Wang, X., & Wang, Y. (2018) · Transportation Research Part C: Emerging Technologies · doi:10.1016/j.trc.2018.10.024 · Cited by 533
Recent developments and research needs in modeling lane changing
Zheng, Z. (2014) · Transportation Research Part B: Methodological · doi:10.1016/j.trb.2013.11.009 · Cited by 532
Metadata
- Authors
- Chandler, R. E., Herman, R., & Montroll, E. W.
- Venue
- Operations Research
- Published
- 1958-04
- Volume
- 6
- Issue
- 2
- Pages
- 165-184
- ISSN
- 0030-364X (ISSN-L)
- 1526-5463
- OpenAlex
- W2047688790
- Cited by
- 1,458
- References
- 0
- FWCI
- 30.66
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Traffic Dynamics: Studies in Car Following. https://app.cochat.ai/papers/10.1287/opre.6.2.165
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- Chandler, R. E., Herman, R., & Montroll, E. W. (1958). Traffic Dynamics: Studies in Car Following. Operations Research. https://doi.org/10.1287/opre.6.2.165
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.
