Handbook of Transportation Science

1. Front Matter

   Pages i-vii

   PDF

2. Transportation Science

   1. Transportation Science

      • Randolph W. Hall

      Pages 1-4

3. Human Elements in Transportation

   1. Discrete Choice Methods and their Applications to Short Term Travel Decisions

      • Moshe Ben-Akiva, Michel Bierlaire

      Pages 5-33

   2. Activity-Based Modeling of Travel Demand

      • Chandra R. Bhat, Frank S. Koppelman

      Pages 35-61

   3. Transportation Safety

      • Leonard Evans

      Pages 63-108

4. Flows and Congestion

   1. Transportation Queueing

      • Randolph W. Hall

      Pages 109-150

   2. Traffic Flow And Capacity

      • Michael J. Cassidy

      Pages 151-186

   3. Automated Vehicle Control

      • Petros Ioannou, Arnab Bose

      Pages 187-232

   4. Traffic Control

      • Markos Papageorgiou

      Pages 233-267

5. Spatial Models

   1. Continuous Space Modelling

      • Tönu Puu, Martin Beckmann

      Pages 269-310

   2. Location Models in Transportation

      • Mark S. Daskin, Susan H. Owen

      Pages 311-360

6. Routing and Network Models

   1. Network Equilibrium and Pricing

      • Michael Florian, Donald Hearn

      Pages 361-393

   2. Street Routing and Scheduling Problems

      • Lawrence Bodin, Vittorio Maniezzo, Aristide Mingozzi

      Pages 395-432

   3. Long-Haul Freight Transportation

      • Teodor Gabriel Crainic

      Pages 433-491

   4. Crew Scheduling

      • Cynthia Barnhart, Ellis L. Johnson, George L. Nemhauser, Pamela H. Vance

      Pages 493-521

7. Back Matter

   Pages 523-532

   PDF

Over the past thirty-five years, a tremendous body of both theoretical and empirical research has been established on the `science of transportation'. The Handbook of Transportation Science has collected and synthesized this research into a systematic treatment of this field covering its fundamental concepts, methods, and principles. The purpose of this handbook is to define transportation as a scientific discipline that transcends transportation technology and methods. Whether by car, truck, airplane - or by a mode of transportation that has not yet been conceived - transportation obeys fundamental properties. The science of transportation defines these properties, and demonstrates how our knowledge of one mode of transportation can be used to explain the behavior of another.
Transportation scientists are motivated by the desire to explain spatial interactions that result in movement of people or objects from place to place. Its methodologies draw from physics, operations research, probability and control theory. It is fundamentally a quantitative discipline, relying on mathematical models and optimization algorithms to explain the phenomena of transportation. The fourteen chapters in the handbook are written by the leading researchers in transportation science in an effort to define and categorize for the first time the scientific nature and state of the art of the field. As such, it is directed to the broader research community, transportation practitioners, and future transportation scientists.

• Optimization algorithm
• Optimization algorithms
• algorithms
• control theory
• equilibrium
• modeling
• network models
• operations research
• optimization
• probability
• scheduling
• traffic
• transportation

• University of Southern California, USA

  Randolph W. Hall

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