Optimal design of sustainable transit systems in congested urban networks: A macroscopic approach
暂无分享,去创建一个
[1] Michael J. Smith,et al. The Existence of a Time-Dependent Equilibrium Distribution of Arrivals at a Single Bottleneck , 1984, Transp. Sci..
[2] N. Geroliminis,et al. An analytical approximation for the macropscopic fundamental diagram of urban traffic , 2008 .
[3] J K Affum,et al. Integrating air pollution modelling with scenario testing in road transport planning: the TRAEMS approach. , 2003, The Science of the total environment.
[4] Junhong Park,et al. Modeling effects of vehicle specifications on fuel economy based on engine fuel consumption map and vehicle dynamics , 2014 .
[5] Yafeng Yin,et al. Optimal multi-step toll design under general user heterogeneity , 2015 .
[6] Zhen Qian,et al. The morning commute problem with heterogeneous travellers: the case of continuously distributed parameters , 2013 .
[7] K. Small,et al. Hypercongestion in downtown metropolis , 2013 .
[8] Vincent A. C. van den Berg,et al. Winning or losing from dynamic bottleneck congestion pricing?: The distributional effects of road pricing with heterogeneity in values of time and schedule delay , 2011 .
[9] Pan Liu,et al. Optimal transit fare and service frequency of a nonlinear origin-destination based fare structure , 2016 .
[10] Alexander Skabardonis,et al. Traffic Signal Optimization with Application of Transit Signal Priority to an Isolated Intersection , 2011 .
[11] Hesham A Rakha,et al. Impact of Stops on Vehicle Fuel Consumption and Emissions , 2003 .
[12] Hai-Jun Huang,et al. Tradable credit scheme for rush hour travel choice with heterogeneous commuters , 2015 .
[13] Nikolaos Geroliminis,et al. On the spatial partitioning of urban transportation networks , 2012 .
[14] Rodney Vaughan. OPTIMUM POLAR NETWORKS FOR AN URBAN BUS SYSTEM WITH A MANY-TO-MANY TRAVEL DEMAND , 1986 .
[15] Richard Arnott,et al. A Bathtub Model of Downtown Traffic Congestion , 2013 .
[16] W. Vickrey. Congestion Theory and Transport Investment , 1969 .
[17] Antti Lajunen,et al. Fuel economy analysis of conventional and hybrid heavy vehicle combinations over real-world operating routes , 2014 .
[18] Vukan R Vuchic,et al. PUBLIC TRANSPORTATION LINE POSITIONS AND HEADWAYS FOR MINIMUM COST , 1972 .
[19] E M Holroyd,et al. THE OPTIMUM BUS SERVICE: A THEORETICAL MODEL FOR A LARGE UNIFORM URBAN AREA , 1967 .
[20] J. Henderson,et al. The economics of staggered work hours , 1981 .
[21] Alexander Skabardonis,et al. Person-Based Traffic Responsive Signal Control Optimization , 2013, IEEE Transactions on Intelligent Transportation Systems.
[22] Christopher J. Armitage,et al. Changes in cognition and behaviour: a causal analysis of single-occupancy car use in a rural community , 2013 .
[23] Hesham Rakha,et al. ESTIMATING VEHICLE FUEL CONSUMPTION AND EMISSIONS BASED ON INSTANTANEOUS SPEED AND ACCELERATION LEVELS , 2002 .
[24] Matthew J. Roorda,et al. A continuous approximation model for the fleet composition problem on the rectangular grid , 2017, OR Spectr..
[25] K Post,et al. Fuel consumption and emission modelling by power demand and a comparison with other models , 1984 .
[26] David L. McKain,et al. Characterization of Emissions from Hybrid-Electric and Conventional Transit Buses , 2000 .
[27] Carlos F. Daganzo,et al. Structure of Competitive Transit Networks , 2009 .
[28] S. Ilgin Guler,et al. Strategies for sharing bottleneck capacity among buses and cars , 2012 .
[29] Hai Yang,et al. Tradable credit schemes for managing bottleneck congestion and modal split with heterogeneous users , 2013 .
[30] Carlos F Daganzo,et al. Public Transportation Systems , 2019 .
[31] Samer Madanat,et al. Access and the choice of transit technology , 2014 .
[32] Carlos F. Daganzo,et al. Logistics Systems Analysis , 1991 .
[33] André de Palma,et al. Route choice with heterogeneous drivers and group-specific congestion costs , 1992 .
[34] Vikash V. Gayah,et al. Accuracy of Networkwide Traffic States Estimated from Mobile Probe Data , 2014 .
[35] Nikolas Geroliminis,et al. Macroscopic modeling of traffic in cities , 2007 .
[36] Hesham Rakha,et al. Design and Evaluation of Network Control Strategies Using the Macroscopic Fundamental Diagram , 2015, 2015 IEEE 18th International Conference on Intelligent Transportation Systems.
[37] Yanfeng Ouyang,et al. A Structured Flexible Transit System for Low-Demand Areas , 2011 .
[38] Olfa Chebbi,et al. Reducing the wasted transportation capacity of Personal Rapid Transit systems: An integrated model and multi-objective optimization approach , 2016 .
[39] Marc Ross,et al. Evaluation of energy consumption, emissions and cost of plug-in hybrid vehicles , 2009 .
[40] S. C. Wirasinghe,et al. Long-term planning for ring-radial urban rail transit networks , 2016 .
[41] Bernard F. Byrne. Public transportation line positions and headways for minimum user and system cost in a radial case , 1975 .
[42] Nikolas Geroliminis,et al. On the allocation of city space to multiple transport modes , 2010 .
[43] Yu Zhou,et al. A bottom-up methodology to estimate vehicle emissions for the Beijing urban area. , 2009, The Science of the total environment.
[44] M. Fosgerau. Congestion in the bathtub , 2015 .
[45] Nikolaos Geroliminis,et al. Empirical Observations of Congestion Propagation and Dynamic Partitioning with Probe Data for Large-Scale Systems , 2014 .
[46] Andres Monzon,et al. Reduced Carbon and Energy Footprint in Highway Operations: The Highway Energy Assessment (HERA) Methodology , 2016 .
[47] A. Palma,et al. SCHEDULE DELAY AND DEPARTURE TIME DECISIONS WITH HETEROGENEOUS COMMUTERS , 1988 .
[48] Gordon F. Newell. The Morning Commute for Nonidentical Travelers , 1987, Transp. Sci..
[49] Feng Xiao,et al. The Morning Commute Problem with Coarse Toll and Nonidentical Commuters , 2011 .
[50] Francesc Robusté,et al. Competitive transit network design in cities with radial street patterns , 2014 .
[51] Vikash V. Gayah,et al. The potential of parsimonious models for understanding large scale transportation systems and answering big picture questions , 2012, EURO J. Transp. Logist..
[52] Robin Lindsey,et al. On the Existence and Uniqueness of Equilibrium in the Bottleneck Model with Atomic Users , 2014 .
[53] Nikolaos Geroliminis,et al. Properties of a well-defined Macroscopic Fundamental Diagram for urban traffic , 2011 .
[54] André de Palma,et al. The Welfare Effects Of Congestion Tolls With Heterogeneous Commuters , 1993 .
[55] Markos Papageorgiou,et al. Exploiting the fundamental diagram of urban networks for feedback-based gating , 2012 .
[56] Hai-Jun Huang,et al. An ordinary differential equation formulation of the bottleneck model with user heterogeneity , 2015 .
[57] Carlos F. Daganzo,et al. The evening commute with cars and transit: duality results and user equilibrium for the combined morning and evening peaks , 2013 .
[58] Yang Liu,et al. Morning commute problem considering route choice, user heterogeneity and alternative system optima , 2011 .
[59] J. Henderson,et al. Economic theory and the cities , 1977 .
[60] Isam Kaysi,et al. Effect of roadway network aggregation levels on modeling of traffic-induced emission inventories in Beirut , 2002 .
[61] Mahyar Amirgholy,et al. Multi-objective cordon price design to control long run adverse traffic effects in large urban areas , 2015 .
[62] J. Henderson. Road congestion : A reconsideration of pricing theory , 1974 .
[63] Carlos F. Daganzo,et al. Urban Gridlock: Macroscopic Modeling and Mitigation Approaches , 2007 .
[64] Carlos F. Daganzo. System optimum and pricing for the day-long commute with distributed demand, autos and transit , 2013 .
[65] Ziyou Gao,et al. Macroscopic analysis of the fundamental diagram with inhomogeneous network and instable traffic , 2016 .
[66] Robin Lindsey. Existence, Uniqueness, and Trip Cost Function Properties of User Equilibrium in the Bottleneck Model with Multiple User Classes , 2004, Transp. Sci..
[67] Pierluigi Pisu,et al. Modeling and Simulation of a Series Hybrid CNG Vehicle , 2014 .
[68] Dirk Helbing,et al. The spatial variability of vehicle densities as determinant of urban network capacity , 2009, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.
[69] Yu Nie,et al. A Semi-Analytical Approach for Solving the Bottleneck Model with General User Heterogeneity , 2014 .
[70] W T Hung,et al. On-Road Motor Vehicle Emissions and Fuel Consumption in Urban Driving Conditions , 2000, Journal of the Air & Waste Management Association.
[71] Carlos F. Daganzo,et al. Optimal Transit Service atop Ring-radial and Grid Street Networks: A Continuum Approximation Design Method and Comparisons , 2015 .
[72] N. Geroliminis,et al. Existence of urban-scale macroscopic fundamental diagrams: Some experimental findings - eScholarship , 2007 .
[73] Eric J. Gonzales,et al. Demand responsive transit systems with time-dependent demand: User equilibrium, system optimum, and management strategy , 2016 .
[74] Nikolaos V. Sahinidis,et al. BARON: A general purpose global optimization software package , 1996, J. Glob. Optim..
[75] Ramin Shabanpour,et al. Investigating the applicability of ADAPTS activity-based model in air quality analysis , 2017, Travel Behaviour and Society.
[76] Eric J. Gonzales,et al. Analytical equilibrium of bicriterion choices with heterogeneous user preferences: application to the morning commute problem , 2017 .
[77] C. Daganzo. On the design of public infrastructure systems with elastic demand , 2012 .
[78] Nikolas Geroliminis,et al. Cooperative traffic control of a mixed network with two urban regions and a freeway , 2013 .
[79] Nikolaos Geroliminis,et al. On the stability of traffic perimeter control in two-region urban cities , 2012 .
[80] Haibo Zhai,et al. Comparing real-world fuel consumption for diesel- and hydrogen-fueled transit buses and implication for emissions , 2007 .
[81] Carlos F. Daganzo,et al. The Uniqueness of a Time-dependent Equilibrium Distribution of Arrivals at a Single Bottleneck , 1985, Transp. Sci..
[82] N. Geroliminis,et al. Cordon Pricing Consistent with the Physics of Overcrowding , 2009 .
[83] Vikash V. Gayah,et al. On the impacts of locally adaptive signal control on urban network stability and the Macroscopic Fundamental Diagram , 2014 .
[84] Ludovic Leclercq,et al. Macroscopic Fundamental Diagrams: A cross-comparison of estimation methods , 2014 .
[85] Nima Golshani,et al. Joint Discrete-Continuous Model of Travel Mode and Departure Time Choices , 2017 .
[86] Vikash V. Gayah,et al. Using Mobile Probe Data and the Macroscopic Fundamental Diagram to Estimate Network Densities , 2013 .
[87] Chris Hendrickson,et al. Schedule Delay and Departure Time Decisions in a Deterministic Model , 1981 .
[88] I De Vlieger,et al. On board emission and fuel consumption measurement campaign on petrol-driven passenger cars , 1997 .
[89] Larsolov Olsson. Motor vehicle air pollution control in Sweden , 1994 .
[90] Vikash V. Gayah,et al. Clockwise Hysteresis Loops in the Macroscopic Fundamental Diagram , 2010 .
[91] Hesham Rakha,et al. Deriving macroscopic fundamental diagrams from probe data: Issues and proposed solutions , 2016 .
[92] K. Heaslip,et al. Acceptability of increasing petrol price as a TDM pricing policy: A case study in Tehran , 2016 .
[93] Jack Haddad,et al. Robust perimeter control design for an urban region , 2014 .
[94] Meead Saberi,et al. Urban Network Gridlock: Theory, Characteristics, and Dynamics , 2013 .
[95] Carlos F. Daganzo,et al. Morning Commute with Competing Modes and Distributed Demand: User Equilibrium, System Optimum, and Pricing , 2012 .
[96] N. Geroliminis,et al. A three-dimensional macroscopic fundamental diagram for mixed bi-modal urban networks , 2014 .
[97] Vincent A. C. van den Berg,et al. Congestion Tolling in the Bottleneck Model with Heterogeneous Values of Time , 2011 .
[98] Lianyu Chu,et al. Estimation of vehicular emissions by capturing traffic variations , 2005 .
[99] Nico Vandaele,et al. MANAGING THE ENVIRONMENTAL EXTERNALITIES OF TRAFFIC LOGISTICS: THE ISSUE OF EMISSIONS , 2001 .
[100] Jorge A. Laval,et al. Stochastic Approximations for the Macroscopic Fundamental Diagram of Urban Networks , 2015 .
[101] Yao Yu,et al. Demand-responsive transit circulator service network design , 2015 .
[102] Lazar N Spasovic,et al. Evaluation of Feeder Bus Systems with Probabilistic Time-Varying Demands and Nonadditive Time Costs , 2001 .
[103] Gordon F. Newell,et al. Some Issues Relating to the Optimal Design of Bus Routes , 1979 .
[104] Nikolas Geroliminis,et al. Dynamics of heterogeneity in urban networks: aggregated traffic modeling and hierarchical control , 2015 .
[105] Carlos F. Daganzo,et al. Design and implementation of efficient transit networks: Procedure, case study and validity test , 2011 .
[106] Nikolaos V. Sahinidis,et al. Global optimization of mixed-integer nonlinear programs: A theoretical and computational study , 2004, Math. Program..
[107] H. O. Gao,et al. Modeling the dynamics of congestion in large urban networks using the macroscopic fundamental diagram: User equilibrium, system optimum, and pricing strategies , 2017 .
[108] Carlos F. Daganzo,et al. Bounds and Approximations for the Transportation Problem of Linear Programming and Other Scalable Network Problems , 2004, Transp. Sci..
[109] Niraj Sharma,et al. Methodology for estimation of CO 2 reduction from mass rapid transit system (MRTS) projects , 2010 .
[110] Nikolas Geroliminis,et al. Optimal Perimeter Control for Two Urban Regions With Macroscopic Fundamental Diagrams: A Model Predictive Approach , 2013, IEEE Transactions on Intelligent Transportation Systems.
[111] Carlos F. Daganzo,et al. Multimodal Transport in Nairobi, Kenya: Insights and Recommendations with a Macroscopic Evidence-Based Model , 2011 .
[112] Gordon F. Newell,et al. Optimal Parameters for a Coordinated Rail and Bus Transit System , 1977 .