The goal of IJTTE is to broaden the knowledge of traffic and transport experts and academicians by promoting free access and provide valuable insight to transport related information, research and ideas. IJTTE will serve as a great resource for researchers and students across the globe.
Volume List  / Volume 6 (2)

Article

PATH PRIORITIZATION AND OPERATIONAL CONSISTENCY FOR DYNAMIC TRAFFIC ASSIGNMENT: AN ANALYTIC HIERARCHICAL APPROACH

DOI: 10.7708/ijtte.2016.6(2).05


6 / 2 / 168-187 Pages

Author(s)

Srinivas Bulusu - E2open, Inc., Dallas, TX 75240, United States of America -

Srinivas Peeta - Lyles School of Civil Engineering, Purdue University, West Lafayette, IN 47907, United States of America -

Hong Zheng - NEXTRANS Center, Purdue University, West Lafayette, IN 47906, United States of America -

Sushant Sharma - Texas A&M Transportation Institute, San Antonio, TX 78213, United States of America -


Abstract

An operational consistency model for real-time dynamic traffic assignment (DTA) applications seeks to correct the time-dependent path assignment within a rolling horizon scheme. This study extends an existing consistency framework to develop a hierarchy for the time-dependent path set based upon their relative importance to ensuring consistency. Using the analytic hierarchy process, the eigenvalue associated with a path is identified as the parameter which enables the rank ordering of paths. The ability to identify a subset of dominant paths relative to enhancing consistency enhances the computational viability of the consistency framework for real-time implementation and has significant practical implications. Additionally, it provides insights on the complex dynamics that are inherent to the operational consistency problem.


Download Article

Number of downloads: 1319

Keywords:
dynamic traffic assignment; analytic hierarchy process; path prioritization; eigenvalue;


References:

Antoniou, C.; Ben-Akiva, M.; Koutsopoulos, H.N. 2007. Nonlinear kalman filtering algorithms for on-line calibration of dynamic traffic assignment models, IEEE Transactions on Intelligent Transportation Systems, 8(4): 661-670.

 

Arrow, K.J. 1963. Social choice and individual values. John Wiley & Sons, Inc., New York.

 

Balakrishna, R.; Ben-Akiva, M.; Koutsopoulos, H.N. 2007. Off-line calibration of dynamic traffic assignment: simultaneous demand-supply estimation, Transportation Research Record: Journal of the Transportation Research Board, 2003: 50-58.

 

Ben-Akiva, M.; Bierlaire, M.; Burton, D.; Koutsopoulos, H.N.; Mishalani, R.G. 2001. Network state estimation and prediction for real-time traffic management, Networks and Spatial Economics, 1(3): 293-318.

 

Doan, D.L.; Ziliaskopoulos, A.K.; Mahmassani, H.S. 1999. On-line monitoring system for real-time traffic management applications, Transportation Research Record: Journal of the Transportation Research Board, 1678: 142-149.

 

Harker, P.T.; Vargas, L.G. 1987. The theory of ratio scale estimation: Saaty's analytic hierarchical process, Management Science, 33(11): 1383-1403.

 

Hawas, Y.E. 2002. Calibrating simulation models for advanced traveler information systems/advanced traffic management systems applications, Journal of Transportation Engineering, 128(1): 80-88.

 

He, R.R.; Ran, B. 2007. Calibration and validation of a dynamic traffic assignment model, Transportation Research Record: Journal of the Transportation Research Board, 1733: 56-62.

 

Huang, E.; Antoniou, C.; Lopes, J.; Wen, Y.; Ben-Akiva, M. 2010. Accelerated on-line calibration of dynamic traffic assignment using distributed stochastic gradient approximation. In Proceedings of the Intelligent Transportation Systems, 13th International IEEE Conference, Funchal, Portugal.

 

Kang, Y. 1999. Estimation and prediction of dynamic origin-destination (O-D) demand and system consistency control for real-time dynamic traffic assignment problem. Ph.D. thesis, University of Texas at Austin, Austin, TX.

 

Lotan, T.; Koutsopoulos, H.N. 1993. Models for route choice behavior in the presence of information using concepts from fuzzy set theory and approximate reasoning, Transportation, 20(2): 129-155.

 

Mirkin, B.G. 1979. Group choice. Halsted Press, New York.

 

Omrani, R., Kattan, L. 2012. Demand and supply calibration of dynamic traffic assignment models: past efforts and future challenge, Transportation Research Record: Journal of the Transportation Research Board, 2283: 100-112.

 

Paz, A.; Peeta, S. 2009. On-line calibration of behavior parameters for behavior-consistent route guidance, Transportation Research Part B: Methodological, 43(4): 403-421.

 

Peeta, S.; Anastassopoulos, I. 2002. Automatic real-time detection and correction of erroneous detector data using Fourier transforms for on-line traffic control architectures, Transportation Research Record: Journal of the Transportation Research Board, 1811: 1-11.

 

Peeta, S.; Bulusu, S. 1999. Generalized singular value decomposition approach for consistent on-line dynamic traffic assignment, Transportation Research Record: Journal of the Transportation Research Board, 1667: 77-87.

 

Peeta, S.; Mahmassani, H.S. 1995. Multiple user class real time traffic assignment for on-line operations: a rolling horizon solution framework, Transportation Research Part C: Emerging Technologies, 3(2): 83-98.

 

Peeta, S.; Yu, J.W. 2004. Adaptability of a hybrid route choice model to incorporating driver behavior dynamics under information provision, IEEE Transactions on Systems, Man, and Cybernetics–Part A: Systems and Humans, 34(2): 243-256.

 

Peeta, S.; Yu, J.W. 2005. A hybrid model for driver route choices incorporating en-route attributes and real-time information effects, Networks and Spatial Economics, 5(1): 21-40.

 

Peeta, S.; Yu, J.W. 2006. Behavior-based consistency-seeking models as deployment alternatives to dynamic traffic assignment models, Transportation Research Part C: Emerging Technologies, 14(2): 114-138.

 

Peeta, S.; Zhou, C. 2002. A hybrid deployable dynamic traffic assignment framework for robust online route guidance, Networks and Spatial Economics, 2(3): 269-294.

 

Pel, A.J.; Bliemer, M.C.J.; Hoogendoorn, S.P. 2009. Hybrid route choice modeling in dynamic traffic assignment, Transportation Research Record: Journal of the Transportation Research Board, 2091: 100-107.

 

Qian, Z.; Zhang, H.M. 2013. A hybrid route choice model for dynamic traffic assignment, Networks and Spatial Economics, 13(2): 183-203.

 

Saaty, T.L. 1977. A scaling method for priorities in hierarchical structures, Journal of Mathematical Psychology, 15(3): 234-281.

 

Saaty, T.L. 1980. The Analytic Hierarchy Process. McGraw-Hill, New York.

 

Sen, A. 1970. Collective Choice and Social Welfare. North Holland, San Francisco, CA.

 

Vaze, V.; Antoniou, C.; Wen, Y.; Ben-Akiva, M. 2009. Calibration of dynamic traffic assignment models with point-to-point traffic surveillance, Transportation Research Record: Journal of the Transportation Research Board, 2090: 1-9.

 

Wang, H.F.; Shen, S.Y. 1989. Group decision support with MOLP applications, IEEE Transactions on Systems, Man, and Cybernetics, 19(1): 143-153.

 

Wendell, R.E. 1980. Multi objective mathematical programming with respect to multiple decision makers, Operations Research, 28(5): 1100-1111.

 

Yu, J.W.; Peeta, S. 2011. Experimental analysis of a hybrid route choice model to capture dynamic behavioral phenomena under advanced information systems, KSCE Journal of Civil Engineering, 15(1): 175-185.

 

Zhang, H.M.; Nie, X. 2005. Some consistency conditions for dynamic traffic assignment problems, Networks and Spatial Economics, 5(1): 71-87.

 

Zhou, X.S.; Mahmassani, H.S. 2002. Dynamic programming approach for online freeway flow propagation adjustment, Transportation Research Record: Journal of the Transportation Research Board, 1802: 263-270.

 

Zhou, X.S.; Mahmassani, H.S. 2005. Online consistency checking and origin-destination demand updating: recursive approaches with real-time dynamic traffic assignment operator, Transportation Research Record: Journal of the Transportation Research Board, 1923: 218-226.


Quoted IJTTE Works

There is no quoted studies.



Related Keywords

PERFORMANCE EVALUATION AND SELECTION OF BEST MODE OF TRANSPORTATION IN LAGOS STATE METROPOLIS