Transportation Modeling and Management

Xiaoning Zhang,Andy H F Chow,Henk Van Zuylen,Hu Shao,Yafeng Yin

doi:10.1155/2014/381528

Abstract

1 School of Economics and Management, Tongji University, Shanghai 200092, China 2Department of Transport and Planning, Delft University of Technology, Delft, The Netherlands 3 Department of Civil and Coastal Engineering, University of Florida, Gainesville, FL 32611, USA 4Department of Civil, Environmental and Geomatic Engineering, University College London, London, UK 5Department of Civil & Structural Engineering, The Hong Kong Polytechnic University, Hong Kong

Highlights

After conducting rigorous peer review, this special issue has accepted 28 technical papers focusing on transportation modeling and management
In “A day-to-day route choice model based on reinforcement learning,” F
Optimization results show that the flight delay and fair deviation are decreased by 42.22% and 38.64%, respectively

Summary

Introduction

After conducting rigorous peer review, this special issue has accepted 28 technical papers focusing on transportation modeling and management. This special issue is devoted to publishing the latest and significant results on scientific research in the mathematical methods of modeling and managing transportation systems. Jiang et al develop a schedule optimization model for arrival-departure flights, to make full use of the slot of runway, reduce flight delay, and ensure fairness among airlines.

Results

Conclusion