A multi-objective model for cordon-based congestion pricing schemes with nonlinear distance tolls
Tóm tắt
Từ khóa
Tài liệu tham khảo
MAY A D, LIU R, SHEPHERD S P, SUMALEE A. The impact of cordon design on the performance of road pricing schemes [J]. Transport Policy, 2002, 9(3): 209–220.
HO H W, WONG S C, YANG H, LOO B P Y. Cordon-based congestion pricing in a continuum traffic equilibrium system [J]. Transportation Research Part A: Policy and Practice, 2005, 39(7): 813–834.
LIU Zhi-yuan, WANG Shuai-an, MENG Qiang. Toll pricing framework under logit-based stochastic user equilibrium constraints [J]. Journal of Advanced Transportation, 2013, 48(8): 1121–1137.
LIU Zhi-yuan, WANG Shuai-an, MENG Qiang. Optimal joint distance and time toll for cordon-based congestion pricing [J]. Transportation Research Part B: Methodological, 2014, 69: 81–97.
LIU Zhi-yuan, MENG Qiang, WANG Shuai-an. Speed-based toll design for cordon-based congestion pricing scheme [J]. Transportation Research Part C: Emerging Technologies, 2013, 31(2): 83–98.
LIU Zhi-yuan, MENG Qiang. Bus-based park-and-ride system: a stochastic model on multimodal network with congestion pricing schemes [J]. International Journal of Systems Science, 2014, 45(5): 994–1006.
MENG Qiang, LIU Zhi-yuan, WANG Shuai-an. Optimal distance tolls under congestion pricing and continuously distributed value of time [J]. Transportation Research Part E: Logistics and Transportation Review, 2012, 48(5): 937–957.
MAY A D, MILNE D S. Effects of alternative road pricing systems on network performance [J]. Transportation Research Part A: Policy and Practice, 2000, 34(6): 407–436.
JOU R C, CHIOU Y C, CHEN K H, TAN H I. Freeway drivers’ willingness-to-pay for a distance-based toll rate [J]. Transportation Research Part A: Policy and Practice, 2012, 46(3): 549–559.
LAWPHONGPANICH S, YIN Y. Nonlinear pricing on transportation networks [J]. Transportation Research Part C: Emerging Technologies, 2012, 20(1): 218–235.
MENG Qiang, LIU Zhi-yuan. Impact analysis of cordon-based congestion pricing on mode-split for a bimodal transportation network [J]. Transportation Research Part C: Emerging Technologies, 2012, 21(1): 134–147.
JOU R C, YEH Y C. Freeway passenger car drivers’ travel choice behaviour in a distance-based toll system [J]. Transport Policy, 2013, 27: 11–19.
SANTOS G. The London congestion charging scheme [M]// RICHARDSON H W, BAE C H C. Chapter 8: Road congestion pricing in Europe—Implications for the United States. Edward Elgar Publishing, 2008: 159–175.
MENG Qiang, YANG Hai. Benefit distribution and equity in road network design [J]. Transportation Research Part B: Methodological, 2002, 36(1): 19–35.
YANG Hai, ZHANG Xiao-ning. Multiclass network toll design problem with social and spatial equity constraints [J]. Journal of Transportation Engineering, 2002, 128(5): 420–428.
SUMALEE A, MAY T, SHEPHERD S. Comparison of judgmental and optimal road pricing cordons [J]. Transport Policy, 2005, 12(5): 384–390.
MARUYAMA T, SUMALEE A. Efficiency and equity comparison of cordon and area-based road pricing schemes using a trip-chain equilibrium model [J]. Transportation Research Part A: Policy and Practice, 2007, 41(7): 655–671.
YIN Y. Multiobjective bilevel optimization for transportation planning and management problems [J]. Journal of Advanced Transportation, 2002, 36(1): 93–105.
CHEN A, SUBPRASOM K, JI Z. A simulation-based multi-objective genetic algorithm (SMOGA) procedure for BOT network design problem [J]. Optimization and Engineering, 2006, 7(3): 225–247.
SHARMA S, MATHEW T V. Multiobjective network design for emission and travel-time trade-off for a sustainable large urban transportation network [J]. Environment and Planning B: Planning and Design, 2011, 38(3): 520–538.
CHEN A, XU X D. Goal programming approach to solve the stochastic multi-objective network design problem [M]. Network Reliability in Practice. New York: Springer, 2012: 151–170.
YIN Y, LI Z C, LAM W H K, CHOI K. Sustainable toll pricing and capacity investment in a congested road network: A goal programming approach [J]. Journal of Transportation Engineering, 2014, 140(12): 04014062.
WANG Shuai-an, MENG Qiang, YANG Hai. Global optimization methods for the discrete network design problem [J]. Transportation Research Part B: Methodological, 2013, 50(4): 42–60.
SHEFFI Y. Urban transportation networks: Equilibrium analysis with mathematical programming methods [M]. Prentice-Hall, 1985.
JAYAKRISHNAN R, TSAI W T, PRASHKER J N, RAJADHYAKSHA S. A faster path-based algorithm for traffic assignment [J]. Transportation Research Reord, 1994, 1443: 75–83.
CHEN A, JAYAKRISHNAN R. A path-based gradient projection algorithm: effects of equilibration with a restricted path set under two flow update policies [M]. Irvine: University of California, 1998.
DIAL R B. A path-based user-equilibrium traffic assignment algorithm that obviates path storage and enumeration [J]. Transportation Research Part B: Methodological, 2006, 40(10): 917–936.
LO H K, CHEN A. Traffic equilibrium problem with route-specific costs: formulation and algorithms [J]. Transportation Research Part B: Methodological, 2000, 34(6): 493–513.
CHEN A, ZHOU Z, XU X. A self-adaptive gradient projection algorithm for the nonadditive traffic equilibrium problem [J]. Computers & Operations Research, 2012, 39(2): 127–138.
CHENG L, IIDA Y, UNO N, WANG W. Alternative quasi-newton methods for capacitated user equilibrium assignment [J]. Transportation Research Record, 2003, 1857: 109–116.
SHARMA S, MISHRA S. Intelligent transportation systems-enabled optimal emission pricing models for reducing carbon footprints in a bimodal network [J]. Journal of Intelligent Transportation Systems, 2013, 17(1): 54–64.
WALLACE C E, COURAGE K, REAVES D, SCHOENE G, EULER G. TRANSYT-7F user's manual [M]. Gainesville: University of Florida, 1984.
SHEPHERD S, SUMALEE A. A genetic algorithm based approach to optimal toll level and location problems [J]. Networks and Spatial Economics, 2004, 4(2): 161–179.
