Macroscopic Characteristics of Lane-Changing Traffic

Abstract

On a multilane roadway, systematic lane changes can seriously disrupt traffic flow and cause capacity reductions. Therefore it is important to understand the characteristics of lane-changing traffic flow. In a previous study, a new variable, lane-changing intensity, was theoretically derived by doubling the contribution to the total density of a lane-changing vehicle during its lane-changing period, and an intensity–density relation was incorporated into the fundamental diagram to capture such bottleneck effects at the aggregate level. In this study, a new interpretation of lane-changing intensity is proposed by following Edie's definition of traffic density. Detailed studies of macroscopic characteristics of lane-changing traffic with 75 min of vehicle trajectories collected for a freeway section on I-80 near San Francisco, California, by FHWA's next-generation simulation project are presented. About 10% misindentified lane changes are excluded. For different time intervals, cell sizes, and locations, the well-definedness of the lane-changing intensity variable and the intensity–density relation are verified.

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References

Hall

F. L.

, and Agyemang-Duah

Freeway Capacity Drop and the Definition of Capacity. In Transportation Research Record 1320, TRB, National Research Council, Washington, D.C., 1991, pp. 91–98.

Golob

T. F.

, Recker

W. W.

, and Alvarez

V. M.

Safety Aspects of Freeway Weaving Sections. Transportation Research Part A, Vol. 38, No. 1, 2004, pp. 35–51.

Gipps

P. G.

A Model for the Structure of Lane-Changing Decisions. Transportation Research Part B, Vol. 20, No. 5, 1986, pp. 403–414.

Yang

A Simulation Laboratory for Evaluation of Dynamic Traffic Management Systems. PhD dissertation. Massachusetts Institute of Technology, Cambridge, Mass., 1997.

Toledo

, Koutsopoulos

H. N.

, and Ben-Akiva

M. E.

Modeling Integrated Lane-Changing Behavior. In Transportation Research Record: Journal of the Transportation Research Board, No. 1857, Transportation Research Board of the National Academies, Washington, D.C., 2003, pp. 30–38.

Kesting

, Treiber

, and Helbing

General Lane-Changing Model MOBIL for Car-Following Models. In Transportation Research Record: Journal of the Transportation Research Board, No. 1999, Transportation Research Board of the National Academies, Washington, D.C., 2007, pp. 86–94.

Michalopoulos

P. G.

, Beskos

D. E.

, and Yamauchi

Multilane Traffic Flow Dynamics: Some Macroscopic Considerations. Transportation Research Part B, Vol. 18, No. 4-5, 1984, pp. 377–395.

Holland

E. N.

, and Woods

A. W.

A Continuum Model for the Dispersion of Traffic on Two-Lane Roads. Transportation Research Part B, Vol. 31, No. 6, 1997, pp. 473–485.

Daganzo

C. F.

A Behavioral Theory of Multi-Lane Traffic Flow. Part I: Long Homogeneous Freeway Sections; Part II: Merges and the Onset of Congestion. Transportation Research Part B, Vol. 36, No. 2, 2002, pp. 131–169.

10.

Coifman

Estimating Density and Lane Inflow on a Freeway Segment. Transportation Research Part A, Vol. 37, No. 8, 2003, pp. 689–701.

11.

Gazis

D. C.

, Herman

, and Weiss

G. H.

Density Oscillations Between Lanes of a Multilane Highway. Operations Research, Vol. 10, No. 5, 1962, pp. 658–667.

12.

Munjal

P. K.

, and Pipes

L. A.

Propagation of On-Ramp Density Waves on Uniform Unidirectional Multilane Freeways. Transportation Research, Vol. 5, 1971, pp. 241–255.

13.

Jin

W.-L.

, Zhang

, and Chu

Measuring First-In-First-Out Violation Among Vehicles. Presented at 85th Annual Meeting of the Transportation Research Board, Washington, D.C., 2006.

14.

Leisch

J. E.

A New Technique for Design and Analysis of Weaving Sections on Freeways. ITE Journal, Vol. 49, No. 3, 1979, pp. 26–29.

15.

Laval

J. A.

, and Daganzo

C. F.

Lane-Changing in Traffic Streams. Transportation Research Part B, Vol. 40, No. 3, 2006, pp. 251–264.

16.

Jin

W.-L.

A Kinematic Wave Theory of Lane-Changing Traffic Flow. Transportation Research Part B, Vol. 44, No. 8-9, 2010, pp. 1001–1021.

17.

Greenshields

B. D.

A Study in Highway Capacity. Highway Research Board Proceedings, Vol. 14, 1935, pp. 448–477.

18.

Lighthill

M. J.

, and Whitham

G. B.

On Kinematic Waves: II. A Theory of Traffic Flow on Long Crowded Roads. Proceedings of the Royal Society of London A, Vol. 229, No. 1178, 1955, pp. 317–345.

19.

Richards

P. I.

Shock Waves on the Highway. Operations Research, Vol. 4, No. 1, 1956, pp. 42–51.

20.

Edie

L. C.

Discussion on Traffic Stream Measurements and Definitions. In Proceedings of Organisation for Economic Co-operation and Development, 1965.

21.

Cassidy

M. J.

, and Coifman

Relation Among Average Speed, Flow, and Density and Analogous Relation Between Density and Occupancy. In Transportation Research Record 1591, TRB, National Research Council, Washington, D.C., 1997, pp. 1–6.

22.

FHWA. Next Generation SIMulation Fact Sheet. Technical report. FHWA-HRT-06–135. 2006.

23.

Cambridge Systematics, Inc.

NGSIM BHL Data Analysis. Technical report. Summary report prepared for FHWA, 2004.

24.

Cambridge Systematics, Inc.

NGSIM I-80 Data Analysis (4:00 p.m. to 4:15 p.m.). Technical report. Summary report prepared for FHWA, 2005.

25.

Cambridge Systematics, Inc.

NGSIM I-80 Data Analysis (5:00 p.m. to 5:15 p.m.). Technical report. Summary report prepared for FHWA, 2005.

26.

Cambridge Systematics, Inc.

NGSIM I-80 Data Analysis (5:15 p.m. to 5:30 p.m.). Technical report. Summary report prepared for FHWA, 2005.