Driver and Vehicle Characteristics and Platoon and Traffic Flow Stability: Understanding the Relationship for Design and Assessment of Cooperative Adaptive Cruise Control
Abstract
Advanced driver assistance (ADA) systems may change individual driver and vehicle characteristics and influence the overall traffic flow performance. An overview is presented of the relationship between individual driver and vehicle characteristics and platoon and traffic flow stability under manual, ADA, and mixed traffic. The factors that make traffic flow stable or unstable are reviewed and categorized, and how ADA systems influence traffic flow stability is reviewed. The definition of traffic flow stability, assessment methodologies, open issues that need further clarification, and implications for the development of ADA systems are discussed. The result of stability analysis depends not only on driver and vehicle characteristics but also on traffic stream characteristics and the method used to analyze stability.
Get full access to this article
View all access and purchase options for this article.
References
1. Treiterer J., and Myers J. A. The Hysteresis Phenomenon in Traffic Flow. Proc. Sixth International Symposium on Transportation and Traffic Theory, 1974, pp. 13–38.
2. Ranjitkar P., Nakatsuji T., Azuta Y., and Gurusinghe G. S. Stability Analysis Based on Instantaneous Driving Behavior Using Car-Following Data. In Transportation Research Record: Journal of the Transportation Research Board, No. 1852, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 140–151.
3. Ranjitkar P., Nakatsuji T., and Kawamura A. Experimental Analysis of Car-Following Dynamics and Traffic Stability. In Transportation Research Record: Journal of the Transportation Research Board, No. 1934, Transportation Research Board of the National Academies, Washington, D.C., 2005, pp. 22–32.
4. Kerner B. S. Experimental Features of Self-Organization in Traffic Flow. Physical Review Letters, Vol. 81, No. 17, 1998, pp. 3797–3800.
5. Sugiyama Y., Fukui M., Kikuchi M., Hasebe K., Nakayama A., Nishinari K., Tadaki S., and Yukawa S. Traffic Jams Without Bottlenecks: Experimental Evidence for the Physical Mechanism of the Formation of a Jam. New Journal of Physics, Vol. 10, No. 3, 2008.
6. Tampere C. Human-Kinetic Multiclass Traffic Flow Theory and Modeling: With Application to Advanced Driver Assistance Systems in Congestion. PhD dissertation. Delft University of Technology, Netherlands, 2004.
7. Ossen S. Longitudinal Driving Behavior: Theory and Empirics. PhD dissertation. Delft University of Technology, Netherlands, 2008.
8. Van Driel C. J. G. Driver Support in Congestion: An Assessment of User Needs and Impacts on Driver and Traffic Flow. PhD dissertation. University of Twente, Netherlands, 2007.
9. Piao J., and McDonald M. Advanced Driver Assistance Systems from Autonomous to Cooperative Approach. Transport Reviews, Vol. 28, No. 5, 2008, pp. 659–684.
10. Leutzbach W. Introduction to the Theory of Traffic Flow. Springer-Verlag, New York, 1988.
11. Swaroop D., and Rajagopal K. R. Intelligent Cruise Control Systems and Traffic Flow Stability. Transportation Research Part C, Vol. 7, 1999, pp. 329–352.
12. Yi J., Lin H., Alvarez L., and Horowitz R. Stability of Macroscopic Traffic Flow Modeling Through Wavefront Expansion. Transportation Research Part B, Vol. 37, 2003, pp. 661–679.
13. Ferrari P. The Instability of Motorway Traffic. Transportation Research Part B, Vol. 28, No. 2, 1994, pp. 175–186.
14. Bose A., and Ioannou P. Analysis of Traffic Flow with Mixed Manual and Semiautomated Vehicles. IEEE Transactions on Intelligent Transportation Systems, Vol. 4, No. 4, 2003, pp. 173–188.
15. Kesting A., and Treiber M. How Reaction Time, Update Time, and Adaptation Time Influence the Stability of Traffic Flow. Computer-Aided Civil and Infrastructure Engineering, Vol. 23, 2008, pp. 125–137.
16. Treiber M., Kesting A., and Helbing D. Influence of Reaction Times and Anticipation on the Stability of Vehicular Traffic Flow. In Transportation Research Record: Journal of the Transportation Research Board, No. 1999, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 23–29.
17. Li P. Y., and Shrivastava A. Traffic Flow Stability Induced by Constant Time Headway Policy for Adaptive Cruise Control Vehicles. Transportation Research Part C, Vol. 10, 2002, pp. 275–301.
18. Nagatani T. Stabilization and Enhancement of Traffic Flow by the Next-Nearest-Neighbor Interaction. Physical Review E, Vol. 60, No. 6, 1999, pp. 6395–6401.
19. Li Z. P., and Liu Y. C. Analysis of Stability and Density Waves of Traffic Flow Model in an ITS Environment. European Physical Journal B, Vol. 53, 2006, pp. 367–374.
20. Ge H. X., Zhu H. B., and Dai S. Q. Effect of Looking Backward on Traffic Flow in a Cooperative Driving Car Following Model. European Physical Journal B, Vol. 54, 2006, pp. 503–507.
21. Ge H. X., Dai S. Q., Dong L. Y., and Xue Y. Stabilization Effect of Traffic Flow in an Extended Car-Following Model Based on an Intelligent Transportation System Application. Physical Review E, Vol. 70, 2004, p. 066134.
22. Van Arem B., van Driel C. J. G., and Visser R. The Impact of Co-operative Adaptive Cruise Control on Traffic Flow Characteristics. IEEE Transactions on Intelligent Transportation Systems, Vol. 7, No. 4, 2006, pp. 429–436.
23. Wilmink I. R., Klunder G. A., and van Arem B. Traffic Flow Effects of Integrated Full-Range Speed Assistance (IRSA). Proc. 2007 IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, 2007, pp. 1204–1210.
24. Swaminathan S., and Li P. Y. Traffic Flow Stability Induced by Arbitrary Adaptive Cruise Control Policy. Proc. American Control Conference, Colorado, 2003, pp. 4101–4106.
25. Zhou J., and Peng H. Range Policy of Adaptive Cruise Control Vehicles for Improved Flow Stability and String Stability. IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 2, 2005, pp. 229–237.
26. Chandler R. E., Herman R., and Montroll E. W. Traffic Dynamics: Studies in Car Following. Operations Research, Vol. 6, No. 2, 1958, pp. 165–184.
27. Herman R., Montroll E. W., Potts R. B., and Rothery R. W. Traffic Dynamics: Analysis of Stability in Car-Following. Operations Research, Vol. 7, No. 1, 1959, pp. 86–106.
28. Holland E. N. A Generalised Stability Criterion for Motorway Traffic. Transportation Research Part B, Vol. 32, No. 2, 1998, pp. 141–154.
29. Tampere C., Hoogendoorn S., and van Arem B. A Behavioral Approach to Instability, Stop & Go Waves, Wide Jams and Capacity Drop. Proc. 16th International Symposium on Transportation and Traffic Theory, 2005, pp. 205–228.
30. Shladover S. E. Longitudinal Control of Automated Guideway Transit Vehicles Within Platoons. Journal of Dynamic Systems, Measurement, and Control, Vol. 100, 1978, pp. 302–310.
31. Swaroop D., Hedrick J. K., Chien C. C., and Ioannou P. A Comparison of Spacing and Headway Control Laws for Automatically Controlled Vehicles. Vehicle System Dynamics, Vol. 23, 1994, pp. 597–625.
32. Wang J., and Rajamani R. Should Adaptive Cruise-Control Systems Be Designed to Maintain a Constant Time Gap Between Vehicles? IEEE Transactions on Vehicular Technology, Vol. 53, No. 5, 2004, pp. 1480–1490.
33. Yi J., and Horowitz R. Macroscopic Traffic Flow Propagation Stability for Adaptive Cruise Controlled Vehicles. Transportation Research Part C, Vol. 14, 2006, pp. 81–95.
34. Liang C. H., and Peng H. Optimal Adaptive Cruise Control with Guaranteed String Stability. Vehicle System Dynamics, Vol. 31, 1999, pp. 313–330.
35. Hasebe K., Nakayama A., and Sugiyama Y. Equivalence of Linear Response Among Extended Optimal Velocity Models. Physical Review E, Vol. 69, 2004, p. 017103.
36. Liang C. Y., and Peng H. String Stability Analysis of Adaptive Cruise Controlled Vehicles. JSME International Journal Series C, Vol. 43, No. 3, 2000, pp. 671–677.
37. Ioannou A., and Stefanovic M. Evaluation of ACC Vehicles in Mixed Traffic: Lane Change Effects and Sensitivity Analysis. IEEE Transactions on Intelligent Transportation Systems, Vol. 6, No. 1, 2005, pp. 79–89.
38. Bose A., and Ioannou P. Mixed Manual/Semi-Automated Traffic: A Macroscopic Analysis. Transportation Research Part C, Vol. 11, 2003, pp. 439–462.
39. Shladover S., VanderWerf J., Miller M. A., Kourjanskaia N., and Krishnan H. Development and Performance Evaluation of AVCSS Deployment Sequences to Advance from Today's Driving Environment to Full Automation. UCB-ITS-PRR-2001-18. California PATH, University of California, Berkeley, 2001.
40. Van Driel C. J. G., and van Arem B. Traffic Flow Impacts of a Congestion Assistant. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
Cite article
Cite article
Cite article
OR
Download to reference manager
If you have citation software installed, you can download article citation data to the citation manager of your choice
Information, rights and permissions
Information
Published In
Article first published online: January 1, 2010
Issue published: January 2010
Authors
Metrics and citations
Metrics
Journals metrics
This article was published in Transportation Research Record: Journal of the Transportation Research Board.
VIEW ALL JOURNAL METRICSArticle usage*
Total views and downloads: 153
*Article usage tracking started in December 2016
Altmetric
See the impact this article is making through the number of times it’s been read, and the Altmetric Score.
Learn more about the Altmetric Scores
Articles citing this one
Receive email alerts when this article is cited
Web of Science: 0
Crossref: 48
- Theoretical Development and Numerical Validation of an Asymmetric Line...
- Damping behavior analysis for connected automated vehicles with linear...
- Service Operations for Mixed Autonomous Paradigm: Lane Design and Subs...
- String Stability Analysis of Connected Vehicular Systems Based on Car-...
- Impacts of cooperative adaptive cruise control platoons on emissions u...
- Freeway’s Traffic Flow Breakdown Identification Based on Stop-and-Go O...
- Routing for Traffic Networks With Mixed Autonomy
- How Connected and Automated Vehicle–Exclusive Lanes Affect On-Ramp Jun...
- Analytical framework of string stability of connected and autonomous p...
- Application of machine learning algorithms in lane-changing model for ...
- Longitudinal emissions evaluation of mixed (cooperative) adaptive crui...
- Multi-Vehicle Trajectory Design During Cooperative Adaptive Cruise Con...
- How Will the Presence of Autonomous Vehicles Affect the Equilibrium St...
- Stability of CACC-manual heterogeneous vehicular flow with partial CAC...
- Coefficient of Engine Flexibility as a Basis for the Assessment of Veh...
- New Leiderman–Khlystov Coefficients for Estimating Engine Full Load Ch...
- Platoon of SAE Level-2 Automated Vehicles on Public Roads: Setup, Traf...
- A Tragedy of Autonomy. self-driving cars and urban congestion external...
- A vehicle speed harmonization strategy for minimizing inter-vehicle cr...
- Driving aggressiveness management policy to enhance the performance of...
- Rear-End Crash Risk of CACC-Manual Driven Mixed Flow Considering the D...
- Modeling and Numerical Analysis on Communication Delay Boundary for CA...
- Truck platooning on uphill grades under cooperative adaptive cruise co...
- Delay-compensating strategy to enhance string stability of adaptive cr...
- The Price of Anarchy for Transportation Networks with Mixed Autonomy
- Capacity modeling and routing for traffic networks with mixed autonomy
- Integrated Cooperative Adaptive Cruise and Variable Speed Limit Contro...
- String stability of heterogeneous platoons with non-connected automate...
- Impact of Heavy Vehicles on Highway Traffic Flows: Case Study in the S...
- Is vehicle automation enough to prevent crashes? Role of traffic opera...
- Truck Platooning on Uphill Grades under Cooperative Adaptive Cruise Co...
- Stability analysis and fundamental diagram of heterogeneous traffic fl...
- Security vulnerabilities of connected vehicle streams and their impact...
- Overview and analysis of Vehicle Automation and Communication Systems ...
- Improving Traffic Flow Efficiency by In-Car Advice on Lane, Speed, and...
- Research on macroscopic traffic flow characteristics for automatic-dri...
- On the network connectivity of platoon-based vehicular cyber-physical ...
- A Disturbance-Adaptive Design for VANET-Enabled Vehicle Platoon
- Relationship between Application Scale and Maximum Time Latency in Int...
- Cooperative driving in mixed traffic networks — Optimizing for ...
- Reducing congestion at uphill freeway sections by means of a Gradient ...
- Microsimulation Modeling of Coordination of Automated Guided Vehicles ...
- Simulation Approaches to Intelligent Vehicles
- Prioritisation of Simulation Models for Ensuring Safety and Security i...
- Impact of packet loss on CACC string stability performance
- Contention window analysis for beaconing in VANETs
- Effects of Individual Differences on Driving Behavior and Traffic Flow...
- The impacts of a communication based merging assistant on traffic flow...
Figures and tables
Figures & Media
Tables
View Options
Get access
Access options
If you have access to journal content via a personal subscription, university, library, employer or society, select from the options below:
loading institutional access options
Alternatively, view purchase options below:
Purchase 24 hour online access to view and download content.
Access journal content via a DeepDyve subscription or find out more about this option.
