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| Preface | |
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| Origin-Based Network Assignment | |
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| Introduction | |
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| Problem statement | |
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| Review of solution methods for TAP | |
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| An origin-based method for TAP | |
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| Experimental results | |
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| Discussion | |
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| Conclusions | |
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| On Traffic Equilibrium Models with a Nonlinear Time/Money Relation | |
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| Introduction | |
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| The time-based traffic equilibrium problem | |
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| Solution approaches | |
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| A route generation algorithm | |
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| Numerical tests | |
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| Stochastic Network Equilibrium Under Stochastic Demand | |
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| Introduction | |
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| Notation | |
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| Critique of SUE in the context of day-to-day variability | |
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| Equilibrium conditions: fixed demand | |
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| Equilibrium conditions: stochastic demand | |
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| Solution algorithm | |
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| Numerical tests | |
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| Conclusion | |
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| Stochastic Assignment with Gammit Path Choice Models | |
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| Introduction | |
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| Review of stochastic assignment | |
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| Probabilistic path choice models | |
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| Numerical examples | |
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| Conclusions | |
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| Estimation of Travel Time Reliability | |
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| Introduction | |
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| Logit SUE model | |
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| Logit SUE sensitivity analysis | |
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| Approximation of travel times variances | |
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| Example | |
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| Conclusion | |
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| A Joint Model of Mode/Parking Choice with Elastic Parking Demand | |
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| Background and objectives | |
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| The parking choice sub-model | |
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| The mode choice sub-model | |
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| Simulation of realistic parking policies | |
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| A New General Equilibrium Model | |
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| Introduction | |
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| DREAM--The general equilibrium model | |
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| An outline of the DREAM model | |
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| Features of the general equilibrium model | |
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| Test Results | |
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| Macroscopic Flow Models | |
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| Introduction | |
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| The basic model LWR model for a link | |
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| Partial flow models for links | |
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| Intersection modeling | |
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| Intersection models as solutions of optimization problems | |
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| An experimental validation | |
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| Conclusion | |
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| AIMSUN 2 Simulation of a Congested Auckland Freeway | |
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| Introduction and objectives | |
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| Simulation model | |
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| AIMSUN 2 simulation process | |
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| Study area and scope | |
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| Model development | |
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| Geometric information | |
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| Traffic flow information | |
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| Trip matrices | |
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| Driver and vehicle information | |
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| Maximum vehicle acceleration | |
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| Motorway model | |
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| Model outputs | |
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| Lane utilisation | |
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| Motorway speeds | |
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| Greenlane Northbound on-ramp | |
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| Calibration parameters | |
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| Run times | |
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| Conclusion | |
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| Postscript | |
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| Fuzzy Traffic Signal Control | |
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| Introduction | |
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| Fuzzy traffic signal control | |
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| Fuzzification interface | |
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| Defuzzification of outputs | |
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| Conclusions | |
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| An Urban Bus Network Design Procedure | |
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| Introduction | |
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| The main transit network (MTN) | |
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| The main transit lines (MTL) | |
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| Feeder lines | |
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| Model application and results | |
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| Conclusions | |
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| The Cone Projection Method | |
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| Introduction | |
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| Achieving the complementarity formulation | |
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| A cone field method of calculating equilibria | |
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| The cone projection method | |
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| A simple method | |
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| Conclusion | |
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| A Park & Ride Integrated System | |
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| Introduction | |
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| A Park & Ride Integrated system | |
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| Routing model | |
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| Travel time prediction | |
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| Computational results | |
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| Conclusion | |
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| Longitudinal Analysis of Car Ownership in Different Countries | |
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| Introduction | |
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| An age-cohort-period model | |
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| A multinational comparison | |
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| A comparative analysis for homogeneous zones | |
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| Long term forecasting using the demographic approach | |
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| Summary and conclusions | |
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| Index | |