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.
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References
1.
TreitererJ., and MyersJ. A.The Hysteresis Phenomenon in Traffic Flow. Proc. Sixth International Symposium on Transportation and Traffic Theory, 1974, pp. 13–38.
2.
RanjitkarP., NakatsujiT., AzutaY., and GurusingheG. 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.
RanjitkarP., NakatsujiT., and KawamuraA.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.
KernerB. S.Experimental Features of Self-Organization in Traffic Flow. Physical Review Letters, Vol. 81, No. 17, 1998, pp. 3797–3800.
5.
SugiyamaY., FukuiM., KikuchiM., HasebeK., NakayamaA., NishinariK., TadakiS., and YukawaS.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.
TampereC.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.
OssenS.Longitudinal Driving Behavior: Theory and Empirics. PhD dissertation. Delft University of Technology, Netherlands, 2008.
8.
Van DrielC. 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.
PiaoJ., and McDonaldM.Advanced Driver Assistance Systems from Autonomous to Cooperative Approach. Transport Reviews, Vol. 28, No. 5, 2008, pp. 659–684.
10.
LeutzbachW.Introduction to the Theory of Traffic Flow.Springer-Verlag, New York, 1988.
11.
SwaroopD., and RajagopalK. R.Intelligent Cruise Control Systems and Traffic Flow Stability. Transportation Research Part C, Vol. 7, 1999, pp. 329–352.
12.
YiJ., LinH., AlvarezL., and HorowitzR.Stability of Macroscopic Traffic Flow Modeling Through Wavefront Expansion. Transportation Research Part B, Vol. 37, 2003, pp. 661–679.
13.
FerrariP.The Instability of Motorway Traffic. Transportation Research Part B, Vol. 28, No. 2, 1994, pp. 175–186.
14.
BoseA., and IoannouP.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.
KestingA., and TreiberM.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.
TreiberM., KestingA., and HelbingD.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.
LiP. Y., and ShrivastavaA.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.
NagataniT.Stabilization and Enhancement of Traffic Flow by the Next-Nearest-Neighbor Interaction. Physical Review E, Vol. 60, No. 6, 1999, pp. 6395–6401.
19.
LiZ. P., and LiuY. 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.
GeH. X., ZhuH. B., and DaiS. 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.
GeH. X., DaiS. Q., DongL. Y., and XueY.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 AremB., van DrielC. J. G., and VisserR.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.
WilminkI. R., KlunderG. A., and van AremB.Traffic Flow Effects of Integrated Full-Range Speed Assistance (IRSA). Proc. 2007 IEEE Intelligent Vehicles Symposium, Istanbul, Turkey, 2007, pp. 1204–1210.
24.
SwaminathanS., and LiP. Y.Traffic Flow Stability Induced by Arbitrary Adaptive Cruise Control Policy. Proc. American Control Conference, Colorado, 2003, pp. 4101–4106.
25.
ZhouJ., and PengH.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.
ChandlerR. E., HermanR., and MontrollE. W.Traffic Dynamics: Studies in Car Following. Operations Research, Vol. 6, No. 2, 1958, pp. 165–184.
27.
HermanR., MontrollE. W., PottsR. B., and RotheryR. W.Traffic Dynamics: Analysis of Stability in Car-Following. Operations Research, Vol. 7, No. 1, 1959, pp. 86–106.
28.
HollandE. N.A Generalised Stability Criterion for Motorway Traffic. Transportation Research Part B, Vol. 32, No. 2, 1998, pp. 141–154.
29.
TampereC., HoogendoornS., and van AremB.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.
ShladoverS. E.Longitudinal Control of Automated Guideway Transit Vehicles Within Platoons. Journal of Dynamic Systems, Measurement, and Control, Vol. 100, 1978, pp. 302–310.
31.
SwaroopD., HedrickJ. K., ChienC. C., and IoannouP.A Comparison of Spacing and Headway Control Laws for Automatically Controlled Vehicles. Vehicle System Dynamics, Vol. 23, 1994, pp. 597–625.
32.
WangJ., and RajamaniR.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.
YiJ., and HorowitzR.Macroscopic Traffic Flow Propagation Stability for Adaptive Cruise Controlled Vehicles. Transportation Research Part C, Vol. 14, 2006, pp. 81–95.
34.
LiangC. H., and PengH.Optimal Adaptive Cruise Control with Guaranteed String Stability. Vehicle System Dynamics, Vol. 31, 1999, pp. 313–330.
35.
HasebeK., NakayamaA., and SugiyamaY.Equivalence of Linear Response Among Extended Optimal Velocity Models. Physical Review E, Vol. 69, 2004, p. 017103.
36.
LiangC. Y., and PengH.String Stability Analysis of Adaptive Cruise Controlled Vehicles. JSME International Journal Series C, Vol. 43, No. 3, 2000, pp. 671–677.
37.
IoannouA., and StefanovicM.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.
BoseA., and IoannouP.Mixed Manual/Semi-Automated Traffic: A Macroscopic Analysis. Transportation Research Part C, Vol. 11, 2003, pp. 439–462.
39.
ShladoverS., VanderWerfJ., MillerM. A., KourjanskaiaN., and KrishnanH.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 DrielC. J. G., and van AremB.Traffic Flow Impacts of a Congestion Assistant. Presented at 87th Annual Meeting of the Transportation Research Board, Washington, D.C., 2008.
