Latest revision as of 12:12, 5 April 2017
Abstract
The rapid development of wireless communication and information technologies has increased research interests in inter-vehicle communication systems and their effect on traffic flow. One of the most complex traffic phenomena on freeways are shockwaves. Shockwaves are recognized as the sudden, substantial change in the state of the traffic flow, which acts as an active or moving bottleneck. They have significant impact on freeway capacity and safety. For this study, a microscopic traffic simulation was used to determine the extent to which inter-vehicle communication and change in the driving strategy after the recognition of a shockwave can influence the propagation and dissolving of shockwaves on freeways. We also briefly introduce the shockwave theory and our communication algorithm. Then we present the simulation result with different penetration rates of communicative vehicles, which are randomly dispersed in traffic flow, through performance measures for traffic flow with shockwaves.
Keywords
Shockwaves ; Vehicle-to-vehicle communication ; Freeways ; Simulation ; Traffic jam ahead warning
References
-
Aycinf and Benekohat, 1998 M.F. Aycinf, B.F. Benekohat; Linear Acceleration Car-Following Model Development and Validation; Transportation Research Record: Journal of the Transportation Research Board, 1644 (1998), pp. 10–19
-
Breton et al., 2002 P. Breton, A. Hegyi, B. De Shutter, H. Hellendoorn; Shockwave Elimination/Reduction by Optimal Coordination of Variable Speed Limits; IEEE Transactions on Intelligent transportation Systems (2002), pp. 225–230
-
Brockfeld et al., 2004 E. Brockfeld, R.D. Kühne, P. Wagner; Calibration and Validation of Microscopic Traffic Flow Models; Transportation Research Record: Journal of Transportation Research Board, 1876 (2004), pp. 62–70
-
Cheu et al., 1998 R. Cheu, X. Jin, K.C. Ng, Y.L. Ng, D. Sirnivasan; Calibration of FRESIM for Singapore Epressway Using Genetic ALgorithm; Journal of Transportation Engineering, 124 (6) (1998)
-
Gomes et al., 2004 G. Gomes, A. May, R. Horowitz; Congested Freeway Microsimulation Model Using VISSIM; Transportation Research Record: Journal of Transportation Research Board, 1876 (2004), pp. 71–81
-
Hegyi et al., 2005 A. Hegyi, B.D. Schutter, J. Hellendoorn; Optimal Cooperation of Variable Speed Limits to Suppress Shockwaves; IEEE Transportation Intelligent Transportation Systems, 6 (2005), pp. 102–112
-
Hourdakis et al., 2003 J. Hourdakis, P.G. Michalopoulos, J. Kottommannil; Practical Procedure for Calibrating Micoscopic Traffic Simulation Models; Transportion Research Record: Journal of Transportation Research Board, No. 1852 (2003), pp. 130–139
-
Kuhne and Michalopolous, 2000 Kuhne, R., & Michalopolous, P. (2000). Continnum Flow Models. Traffic Flow Theory, Chapter 5. FHWA.
-
Lee and Volpatti, 2010 C. Lee, S. Volpatti; Effects of Shock Waves on Freeway Crash Likelihood; The Open Transportation Journal (2010), pp. 61–70
-
Huang and Wu, 2013 Huang, L., Wu, J. (2013). A Freeway/Expressway Shockwave Elimination Method Based on IoT. In F. Chen, Y. Liu, & G. Hua, LTLGB 2012, Proceeding of International Conference on Low-carbon Transportation and Logistics, and Green Building. Heidelberg: Springer.
-
Lu et al., 2009 Lu, W., Bao, Y., Sun, X., & Wang, Z. (2009). Performance Evaluation of Inter-Vehicle Communication in a Unidirectional Dynamic Traffic Flow with Shockwave. St. Petersburg: Ultra Modern Telecommunications & Workshops, ICUMT International Conference.
-
Menneni et al., 2009 Menneni, S., Sun, C., & Vortisch, P. (2009). An Integrated Microscopic and Macroscopic Calibration for Psycho-Physical Car Following Models. TRB, Annual Meeting CD-ROM . Washington, D.C.
-
Motamedidehkordi et al., 2015 Motamedidehkordi, N., Benz, T., & Margreiter, M. (2015). Shockwave Analysis on Motorways and Possibility of Damping by Autonomous Vehicles. In T. Schulze, B. Müller, & G. Meyer, Advanced Microsystems for Automotive Applications 2015:Smart Systems for Green and Automated Driving (pp. 37-52). Springer.
-
Munoz and Daganzo, 2002 J.C. Munoz, C.F. Daganzo; The Bottleneck Mechanis of a Freeway Diverge; Transportation Research Part A (2002), pp. 483–505
-
Park and Qi, 2005 B. Park, H. Qi; Developement of Evaluation of Procedure for the Calibration of Simulation Models; Transportation Research Record: Journal of the Transportation Research Board, 1934 (2005), pp. 208–217
-
Payne et al., 1979 H. Payne, S. Thompson, G. Chang, W. Ge; Calibration of FRESIM to Achieve Desired Capacities; Transportation Research Record: Journal of the Transportation Research Board, 1591 (1979)
-
PTV, 2015 PTV AG. (2015). Vissim 8 Manual. Karlsruhe.
-
Rakhau and Crowther, 2002 H. Rakhau, B. Crowther; Comparison of Greenshield, Pipes, and Van Aerde Car-Following and Traffic Stream Models; Transportation Research Board, 1802 (2002), pp. 248–253
-
Schimandl et al., 2013 F. Schimandl, M. Baur, S. Hoffmann, M. Margreiter, S. Gabloner; Effects of Cooperative Systems on Traffic Safety and Efficiency; mobil.TUM International Scientific Conference on Mobility and Transport, Munich (2013)
-
simTD, 2015 simTD. (2015). simTD: Test Field Germany . Retrieved from http://www.simtd.de/index.dhtml/enEN/Testfeld_Deutschland.html.
-
Smith et al., 2003 B.L. Smith, Q. Ling, R. Venkatanarayana; Characterization of Freeway Capacity Reduction Resulting from Traffic Accidents; Journal of Transportation Engineering, 123 (2003), pp. 362–368
-
Suijs et al., 2014 L.C. Suijs, L.J. Wismans, L. Krol, E.C. van Berkum; Phantom Jam Avoidance Through In-car Speed Advice; Transportation Research Procedia, 8 (2014), pp. 227–236
-
van der Meulen and Rivera, 2015 van der Meulen, R., & Rivera, J. (2015, January 26). Gartner Says By 2020, A Quarter Billion Connected Vehicles Will Enable New In-Vehicle Services and Automated Driving Capabilities. (Gartner) Retrieved September 18, 2015, from Gartner Newsroom: http://www.gartner.com/newsroom/id/2970017.
-
Wiedemann, 1974 Wiedemann, R. (1974). Simulation des Strassenverkehrsflusses, Heft 8 (Vol. Band 8). Karlsruhe, Germany.
-
Xiao-Yun and Skabardonis, 2007 L. Xiao-Yun, A. Skabardonis; Freeway Traffic Shockwave Analysis: Exploring the NGSIM Trajectory Data; Transportation Research Board, Washington, D.C (2007)
-
Yu, 2012 Yu, G.L. (2012). Analysis of Traffic Accident Temporal and Spatial Impact Based on Shockwave Theory. In C. Fang, H. Wei, Y. Wang, & J. Zhang, CICTP 2012: Multimodal Transportation Systems - Convenient, Safe, Cost-Effective, Efficient (pp. 557-567). American Society of Civil Engineers.
-
Zhang, 1999 H.M. Zhang; Analyses of the Stability and Wave Properties of a New Continuum Traffic Theory; Transportation Research Part B, 33 (1999), pp. 399–415