Investigating Benefits of IntelliDrive in Freeway Operations: Lane Changing Advisory Case Study
Publication: Journal of Transportation Engineering
Volume 138, Issue 9
Abstract
IntelliDrive, the integration of vehicles and the infrastructure through wireless communication, has generated great interest in the transportation community. It is widely expected that IntelliDrive will support significantly improved transportation operations. However, there have been few studies investigating (1) how IntelliDrive will be used to improve operations, and (2) how to estimate expected benefits of IntelliDrive operations applications. In this study, the research team investigated the application of IntelliDrive to address merging conflicts created by freeway on-ramps. Although merging conflicts contribute significantly to freeway congestion, transportation engineers have limited options with existing traffic surveillance and management tools. IntelliDrive offers the potential for more active management of the surface transportation system, providing capabilities that may be of significant benefit in ramp management. In this research, a lane changing advisory algorithm was developed to explore the potential of IntelliDrive in improving freeway ramp management. Utilizing new IntelliDrive capabilities (highly detailed individual vehicular data and personalized advisory information provision), the proposed algorithm attempts to reduce merging conflicts by encouraging early mainline freeway lane changes to create more space in ramp merging areas. An evaluation of the algorithm was conducted by using a PARAMICS microscopic simulation model of a heavily traveled freeway network in Orange County, California for morning peak hours. The results have revealed that IntelliDrive has the potential to increase vehicle miles traveled by up to 4.3% and reduce vehicle hours traveled by up to 4.6%, which resulted in up to 9.3% higher average speeds, in the best case. However, the results also indicated that, to achieve the greatest possible benefits, the proposed algorithm requires very high compliance of drivers and near full deployment of IntelliDrive.
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References
Ahammed, M. A., Hassan, Y., and Sayed, T. A. (2008). “Modeling driver behavior and safety on freeway merging areas.” J. Transp. Eng., 134(9), 370–377.
Choudhury, C. F. (2005). “Modeling lane changing behavior in presence of exclusive lanes.” M.S. thesis, Massachusetts Institute of Technology, Cambridge, MA.
Choudhury, C., Ben-Akiva, M. E., Toledo, T., Lee, G., and Rao, A. (2007). “Modeling cooperative lane changing and forced merging behavior.” Proc., 86th Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, DC.
Chu, L., Liu, X., and Recker, W. (2004a). “Using microscopic simulation to evaluate potential intelligent transportation system strategies under nonrecurrent congestion.” Transportation Research Record 1886, Transportation Research Board, Washington, DC, 76–84.
Chu, L., Liu, X., Recker, W., and Zhang, M. (2004b). “Performance evaluating of adaptive ramp metering algorithms using microscopic traffic simulation model.” J. Transp. Eng., 130(3), 330–338.
Intelligent Transportation Society of California. (2006). “VII California Bay Area testbed development plan.” 〈http://worldcat.org/arcviewer/1/CBT/2008/09/25/H1222372583478/viewer/file1.pdf〉.
Massachusetts Institute of Technology. (2006). “NGSIM—Cooperative lane changing and forced merging model.” Rep. Prepared for Federal Highway Administration, Washington, DC.
PB Farradyne Inc. (2005). “Vehicle infrastructure integration (VII) architecture and functional requirements version 1.1.” Rep. Prepared for the ITS Joint Program Office, Washington, DC.
Quadstone. (2006). Quadstone PARAMICS V5.2 programmer user guide, Quadstone Limited, Edinburgh, UK.
Rakha, H., Aerde, M. V., Ahn, K., and Trani, A. A. (2000). “Requirements for evaluating traffic signal control impacts on energy and emissions based on instantaneous speed and acceleration measurements.” Transportation Research Record 1738, Transportation Research Board, Washington, DC, 56–67.
Society of Automotive Engineers. (2009). Dedicated short range communications (DSRC) message set dictionary: J2735, Society of Automotive Engineers International, Warrendale, PA.
Tanikella, H., Smith, B. L., Zhang, G., Byungkyu, P., Guo, J., and Scherer, W. T. (2007). “Development and evaluation of a vehicle-infrastructure integration simulation architecture.” J. Comput. Civ. Eng., 21(6), 434–440.
Transportation Research Board. (2000). Highway capacity manual, Transportation Research Board, National Research Council, Washington, DC.
U.S. DOT. (2006). Vehicle infrastructure integration (VII)—National system requirements specification (baseline), Washington, DC.
U.S. DOT. (2009). IntelliDrive website 〈http://www.its.dot.gov/connected_vehicle/connected_vehicle.htm〉 (Jul. 31, 2009).
Yi, H., and Mulinazzi, T. E. (2007). “Urban freeway onramp invasive-influences on mainline operations.” Proc., 86th Annual Meeting of the Transportation Research Board, Transportation Research Board, Washington, DC.
Information & Authors
Information
Published In
Journal of Transportation Engineering
Volume 138 • Issue 9 • September 2012
Pages: 1113 - 1122
Copyright
© 2012 American Society of Civil Engineers.
History
Received: Mar 11, 2010
Accepted: Jan 5, 2012
Published online: Jan 12, 2012
Published in print: Sep 1, 2012
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