Advanced Concepts, Methodologies and Technologies for Transportation and Logistics

 
 
Springer (Verlag)
  • erschienen am 3. Juli 2017
  • |
  • XI, 470 Seiten
 
E-Book | PDF mit Adobe-DRM | Systemvoraussetzungen
E-Book | PDF mit Wasserzeichen-DRM | Systemvoraussetzungen
978-3-319-57105-8 (ISBN)
 

This book is a collection of original papers produced by the members of the Euro Working Group on Transportation (EWGT) in the last several years (2015-2017). The respective chapters present the results of various research projects carried out by the members of the EWGT and extended versions of presentations given at the last several meetings of the EWGT.

The book offers a representative sampling of the EWGT's research activities and covers the state-of-the-art in quantitative oriented transportation/logistics research. It highlights a range of advanced concepts, methodologies and technologies, divided into four major thematic streams: Multiple Criteria Analysis in Transportation and Logistics; Urban Transportation and City Logistics; Road Safety and Artificial Intelligence and Soft Computing in Transportation and Logistics. The book is intended for academics/researchers, analysts, business consultants, and graduate students who are interested in advanced techniques of mathematical modeling and computational procedures applied in transportation and logistics.

1st ed. 2018
  • Englisch
  • Cham
  • |
  • Schweiz
Springer International Publishing
  • 134 s/w Abbildungen
  • |
  • 134 schwarz-weiße Abbildungen, Bibliographie
  • 56,68 MB
978-3-319-57105-8 (9783319571058)
10.1007/978-3-319-57105-8
weitere Ausgaben werden ermittelt
  • Intro
  • Preface
  • Contents
  • Multiple Criteria Analysis in Transportation and Logistics
  • References
  • The Methodology of Multiple Criteria Decision Making/Aiding in Transportation
  • Abstract
  • 1 Introduction
  • 2 The Methodology of Multiple Criteria Decision Making/Aiding (MCDM/A)
  • 2.1 The Formal Definition of the Field and Its Major Features
  • 2.2 Basic Notions, Principles and Concepts
  • 2.3 Solution Procedures of the Multiple Criteria Decision Problems. MCDM/A Methods, Tools and Comput ...
  • 3 The Application of MCDM/A Methodology in Transportation. Selected Case Study
  • 3.1 Overall Characteristics of the Presented Decision Problems
  • 3.2 Multiple Criteria Fleet Selection Problem - Evaluation of Alternative Tram Makes/Models for a Pu ...
  • 3.2.1 The Background of the Fleet Selection Problem
  • 3.2.2 Verbal Description of the Tram Selection Problem
  • 3.2.3 Definition of Variants and a Consistent Family of Criteria
  • 3.2.4 Modeling of DM's and Stakeholders' Preferences
  • 3.2.5 Evaluation and Selection of Appropriate MCDM/A Methods. Major Features of the AHP and ELECTRE ...
  • 3.2.6 Computational Experiments and Analysis of Generated Results. Selection of the Most Desired Sol ...
  • 4 Conclusions
  • References
  • The Multi-Actor Multi-Criteria Analysis (MAMCA) Tool: Methodological Adaptations and Visualizations
  • 1 Introduction
  • 2 Related Work
  • 3 MAMCA Methodology
  • 4 MAMCA Software
  • 4.1 Alternatives
  • 4.2 Stakeholder Analysis
  • 4.3 Criteria and Weights
  • 4.4 Evaluation
  • 4.5 Results
  • 5 Discussion and Future Work
  • 6 Conclusion
  • References
  • Dealing with the Complexity of Stakeholder Interaction in Participatory Transport Planning
  • Abstract
  • 1 Stakeholder Engagement in Transport Planning
  • 2 Materials and Methods
  • 2.1 Analytic Hierarchy Process
  • 2.2 Voting Methods
  • 2.3 Consensus Measure via Overlap
  • 2.4 Social Network Analysis
  • 2.5 Agent-Based Model of Stakeholder Interaction
  • 3 Case Study
  • 3.1 Results of the Experiment
  • 3.2 Simulation Results
  • 4 Discussion and Conclusions
  • References
  • A Methodology of Redesigning and Evaluating Medium-Sized Public Transportation Systems
  • Abstract
  • 1 Introduction
  • 2 Multiple Criteria Decision Making/Aiding (MCDM/A)
  • 2.1 Basic Concepts and Terms of MCDM/A
  • 3 The Redesign of the Mass Transit System
  • 3.1 Problem Statement
  • 3.2 Description of Variants
  • 3.3 Definition of the Family of Criteria
  • 3.4 Computational Experiments
  • 4 Conclusions
  • References
  • A Framework for Solving Real-Time Multi-objective VRP
  • Abstract
  • 1 Introduction
  • 2 Literature Review
  • 2.1 Multi-objective VRP
  • 2.2 Dynamic VRP
  • 2.3 Multi-criteria Decision Making
  • 3 Posteriori Decision Making Framework for Solving Real-Time Multi-objective Vehicle Routing Problems
  • 4 A Case Study Example
  • 5 Summary
  • References
  • Multiple Criteria Evaluation of Suppliers in Different Industries - Comparative Analysis of Three Case Studies
  • Abstract
  • 1 Introduction
  • 2 Methodological Background of Research
  • 2.1 General Characteristics and Basic Notions of the MCDM/A Methodology. Major Features of the Applied MCDM/A Methods
  • 2.2 The Suppliers' Selection Problem
  • 3 The Proposed Methodology of Selecting/Evaluating Suppliers in Different Industries
  • 4 Practical Application of the Proposed Methodology
  • 4.1 Phase 1 - Investigation of the Decision Situation and Its Verbal Description. Phase 2 - the Suppliers' Selection Problem Structuring and Mathematical Modeling
  • 4.2 Phase 3 - Analyzing, Modeling and Aggregating the DM's and Stakeholders' Preferences
  • 4.3 Phase 4 - Review, Evaluation and Selection of the Appropriate Multiple Criteria Methods
  • 4.4 Phase 5 - Computational Experiments
  • 4.5 Phase 6 - Selection of the Most Desired Variant - Supplier
  • 5 Summary
  • References
  • Aircraft Type Selection Problem: Application of Different MCDM Methods
  • Abstract
  • 1 Introduction
  • 2 Literature Review
  • 3 Main Issues in Aircraft Evaluation Process
  • 4 Methods and Data
  • 4.1 Analytic Hierarchy Process
  • 4.2 Fuzzy Analytic Hierarchy Process
  • 4.3 Even Swap Method
  • 4.4 Data
  • 5 Results and Discussion
  • 5.1 Analytic Hierarchy Process
  • 5.2 Fuzzy Analytic Hierarchy Process
  • 5.3 Even Swap Method
  • 5.4 Discussion
  • 6 Conclusion
  • Acknowledgements
  • References
  • Urban Transportation and City Logistics
  • References
  • Transit Network Design Problem: An Expansion of the Route Generation Algorithm
  • Abstract
  • 1 Introduction
  • 2 Definitions, Model Formulation, and Solution Algorithm
  • 2.1 Model Formulation and Assumptions
  • 2.2 Expanded Route Generation Algorithm
  • 2.3 Node Insertion Algorithm
  • 3 Application of the Proposed Algorithm and Discussion of Results
  • 3.1 Sioux-Falls Test Network
  • 3.2 Ardebil City Case Study
  • 3.3 Results over Ardebil Network
  • 4 Conclusion
  • Acknowledgement
  • References
  • The Railway Network Design, Line Planning and Capacity Problem: An Adaptive Large Neighborhood Search Metaheuristic
  • 1 Introduction
  • 2 Description of the RNDLP Problem
  • 3 An Adaptive Large Neighborhood Search Metaheuristic for the RNDLP Problem
  • 3.1 The ALNS Metaheuristic
  • 3.2 Outline of ALNS
  • 3.3 The ALNS Components
  • 3.4 The ALNS Operators
  • 4 Computational Experiments
  • 5 Conclusions
  • References
  • Diagnostic of the Balance and Equity of Public Transport for Tourists and Inhabitants
  • Abstract
  • 1 Introduction
  • 2 Case Study
  • 3 Methodology
  • 4 Results and Discussion
  • 4.1 Analysis of Potential Demand of Bus Public Transport
  • 4.2 Analysis of Bus Service Level Public Transport
  • 4.3 Analysis of Imbalances and Level of Equity of the Bus Public Transport
  • 5 Conclusions
  • Acknowledgements
  • References
  • On the Design of Leisure Devoted Cycling Networks
  • 1 Designing Cycling Networks: Facts and Challenges
  • 1.1 Criteria for Planning Cycling Infrastructures: Leisure Versus Functional Cycling
  • 1.2 Optimization Models for Cycling Network Design
  • 1.3 Routing for Profit
  • 2 Solving the Cycle Tourist Network Design Problem
  • 2.1 Problem Statement
  • 2.2 NFPS: An Iterative Algorithm for Cycle Network Design
  • 3 Computational Results and Conclusions
  • References
  • The Influence of Transportation Service Level on a Municipal Service Center's Costs: A Numerical Stu ...
  • Abstract
  • 1 Introduction
  • 2 Problem Formulation
  • 3 The Optimal Number of Reservations
  • 4 Setting of the Optimal Transportation Service Level
  • 4.1 The Influence of TSL on the Demands' Uncertainty
  • 4.2 Optimal TSL Under Positive Transportation Cost
  • 4.3 The Effect of a Safety Constraint on the Optimal TSL
  • 5 Conclusions
  • References
  • A Stochastic Version of the Strategy-Based Congested Transit Assignment Model and a Technique by Smoothing Approximations
  • 1 Introduction
  • 2 Description and Summary of the Model's Formulation
  • 2.1 Notation and Network Model
  • 2.2 A Summary of the Model's Formulation as a Variational Inequality Problem
  • 3 An Approximated C3F Model Obtained by Smoothing
  • 4 A Stochastic Version for the C3F Model
  • 5 Solving the Approximate Variational Inequality
  • 6 Computational Tests
  • 7 Conclusions and Further Research
  • A Appendix: Smoothing Approximations for a Class of V.I.
  • References
  • Evaluation of CO2 Emission Reduction from Vehicles by Information Provision Using Driving Simulator
  • Abstract
  • 1 Introduction
  • 2 Information Provision System
  • 2.1 Outline of Information Provision System
  • 2.2 Relationship Between Information Provision and Vehicle Movement
  • 2.3 Method of Information Provision
  • 3 Experiments Using 3D Driving Simulator
  • 3.1 Outline of 3D Driving Simulator and Experimental Course
  • 3.2 Design of Information Provision on Driving Simulator
  • 3.3 Participants and Outline of Experiment
  • 3.4 Performance Evaluation
  • 3.5 Quantitative Analysis
  • 3.6 Evaluation by Participants
  • 4 Conclusion
  • Acknowlegement
  • References
  • Road Safety
  • References
  • Power and Exponential Functions Relating Accidents to Traffic and Rain. Calibration on a French Network
  • Abstract
  • 1 Introduction
  • 2 Traffic, Accident and Meteorological Data
  • 3 Statistical Models and Traffic Indicators
  • 3.1 Six Models
  • 3.2 Statistical Analysis
  • 3.3 Thirteen Traffic Indicators
  • 4 Significant Relationships
  • 4.1 Risk and 6-Minute Average Speed (Daytime)
  • 4.2 Risk and 6-Minute Occupancy, Daytime, Multiple-Vehicle Accidents
  • 4.3 Average Time Headway and Percentages of Short Time Headway
  • 4.4 Risk and Sum of Positive Relative Speeds (Divided by the Traffic Count)
  • 4.5 PICUD-Based Indicators
  • 5 Discussion
  • 6 Deepening the Relations Between the Relationships
  • 6.1 Models Relating the Accident Risk and Speed
  • 6.2 Models Relating the Accident Risk and Occupancy
  • 6.3 Consistency Analysis: The Case of Speed and Occupancy Risks
  • 7 Conclusion and Perspectives
  • Acknowledgements
  • Appendix: Significant Relationships
  • References
  • Development of Coordinated Ramp-Metering Based on Multi-objective Nonlinear Optimization Functions: Traffic and Safety
  • 1 Introduction and Background
  • 2 Summary Description of the Risk Index Model
  • 2.1 The Logistic Regression Model
  • 3 Integrated Control: Mathematical Problem Formulation
  • 3.1 Summary Description of the Used Macroscopic Traffic Flow Model Equations
  • 3.2 Definition of the Traffic Cost Function
  • 3.3 Numerical Solution of the Optimal Control Approach
  • 4 Simulation Studies and Hypothesis
  • 4.1 Test Site Description
  • 4.2 Risk Model Validation
  • 4.3 Scenario Definitions
  • 5 Simulation Result Analysis
  • 5.1 Control Output Trajectories Analysis
  • 5.2 Global Performance Analysis
  • 6 Conclusion and Next Steps
  • References
  • Drivers' Behavior at Bicycle Crossroads
  • Abstract
  • 1 Introduction
  • 2 Method
  • 2.1 Road Scenario
  • 2.2 Driving Simulator
  • 2.3 Procedure
  • 2.4 Participants
  • 3 Data Processing
  • 4 Data Analysis and Results
  • 4.1 Mean Speed Profiles
  • 4.2 Driver's Speed Behavior
  • 4.3 Outcome of the Questionnaire
  • 5 Discussion
  • 5.1 Mean Speed Profiles
  • 5.2 Drivers' Speed Behavior
  • 6 Conclusions
  • References
  • Automatic Incident Detection on Freeway Ramp Junctions. A Fuzzy Logic-Based System Using Loop Detector Data
  • 1 Introduction
  • 2 Theoretical Background
  • 3 Methodology
  • 3.1 System Structure
  • 3.2 Fundamentals of Fuzzy Inference Systems
  • 3.3 Fuzzy Model Identification
  • 4 California Algorithm #7
  • 5 Comparative Evaluation
  • 5.1 Performance
  • 5.2 Data Description
  • 6 Experimental Analysis
  • 7 Conclusions
  • References
  • Artificial Intelligence and Soft Computing in Transportation and Logistics
  • References
  • Optimizing Airport Gate Assignments Through a Hybrid Metaheuristic Approach
  • Abstract
  • 1 Introduction
  • 2 A Survey of Models for the Flight-Gate Assignment Problem
  • 3 Mathematical Formulation
  • 4 The Proposed Optimization Model
  • 4.1 Biogeography-Based Optimization (BBO)
  • 4.2 Bee Colony Optimization (BCO)
  • 4.3 Biogeography-Based Bee Colony Optimization (B-BCO)
  • 5 Application and Results
  • 6 Conclusions
  • References
  • Shipping Liner Company Stowage Plans: An Optimization Approach
  • Abstract
  • 1 Introduction
  • 2 Problem Under Investigation
  • 3 A MIP Model for the MP-MBPP
  • 4 The MIP Heuristics for MP-MBPP
  • 5 Computational Results
  • 6 Conclusions
  • Acknowledgements
  • References
  • A Multi-depot Periodic Vehicle Routing Model for Petrol Station Replenishment
  • Abstract
  • 1 Introduction
  • 2 Literature Review
  • 3 Problem Definition
  • 4 The Proposed Hybrid Genetic Algorithm
  • 4.1 Solution Representation and Evaluation
  • 4.2 Parent Selection and Crossover
  • 4.3 Education and Repair
  • 4.4 Population Management
  • 5 Experimentation
  • 6 Conclusions
  • References
  • A Multi-criteria Intelligent Control for Traffic Lights Using Reinforcement Learning
  • 1 Introduction
  • 2 Signal Control Approach
  • 2.1 Agent-Based Modeling
  • 2.2 Temporal Difference Learning
  • 2.3 Simulation-Based Learning Process
  • 3 Control Agent Design
  • 4 CASE STUDY
  • 4.1 Experiment Setup
  • 4.2 Results and Discussions
  • 5 Conclusion
  • References
  • Analysis of Imprecise Perception in Route Choice Considering Fuzzy Costs
  • Abstract
  • 1 Introduction
  • 2 The Route Choice Model
  • 2.1 The Representation of Path Costs by Fuzzy Number
  • 2.2 Definition of the Choice SetIi
  • 2.3 Coefficients of Preference
  • 2.4 Overlapping Paths
  • 3 Numerical Analyses
  • 4 Equilibrium Assignment
  • 4.1 Case 1 - Paths with the Same Free-Flow Cost
  • 4.2 Case 2 - Variation of Free-Flow Cost
  • 5 Conclusion
  • References
  • Author Index

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