Mathematics in Transport: Proceedings of the Fourth IMA International Conference on Mathematics in Transport in Honour o

Introduction

Transportation systems form the backbone of modern economies, and the mathematical frameworks that govern them are more critical than ever. Mathematics in Transport: Proceedings of the Fourth IMA International Conference on Mathematics in Transport in Honour of Richard Allsop, edited by Ben Heydecker, is a landmark volume that brings together cutting-edge research from leading mathematicians, engineers, and transport planners. This hardcover edition, published by Elsevier Science Ltd, offers Indian students and professionals a deep dive into the quantitative methods shaping the future of mobility.

Book Overview

This collection presents selected peer-reviewed papers from the prestigious IMA 4th International Conference on Mathematics in Transport, held in honour of Professor Richard Allsop, a towering figure in transport mathematics. The book captures the state of the art in mathematical and statistical modelling applied to transport systems. With contributions from authors across the globe, it addresses the pressing challenges of increasing demand on infrastructure, congestion, safety, and sustainability. Each chapter is a self-contained study, making the volume both a reference work and a source of inspiration for new research.

Key Highlights

• Honouring a Pioneer: Dedicated to Professor Richard Allsop, whose work on traffic signal control and network modelling has influenced generations of researchers.
• Peer-Reviewed Excellence: Every paper has undergone rigorous peer review, ensuring high academic and practical standards.
• International Collaboration: Authors from diverse countries bring a global perspective, with case studies and models applicable to Indian urban and rural contexts.
• Comprehensive Coverage: From scheduling to safety, the book spans the entire spectrum of transport mathematics.

Inside the Book

The proceedings are organised thematically, offering readers a structured journey through complex topics. Early chapters lay the groundwork with fundamental mathematical formulations, while later sections apply these to real-world problems. The book includes detailed derivations, data tables, and simulation results, making it accessible to researchers and practitioners alike. Indian readers will find relevant examples on public transport optimisation and traffic flow modelling that can be adapted to cities like Mumbai, Delhi, and Bengaluru.

Key Topics

• Public Transport and Scheduling: Mathematical models for bus and rail timetables, crew rostering, and passenger demand forecasting.
• Pricing and Economics: Congestion pricing, fare structures, and elasticity modelling for sustainable revenue.
• Travel Behaviour and Choice Modelling: Discrete choice models, mode shift analysis, and behavioural economics in transport.
• Safety Analysis: Statistical methods for accident prediction, risk assessment, and road safety audits.
• Spatial and Location Modelling: GIS-based optimisation, facility location theory, and land-use transport interaction.

Reader Benefits

• Deepen Your Quantitative Skills: Gain hands-on exposure to advanced mathematical techniques like linear programming, stochastic processes, and graph theory.
• Stay Ahead in Research: Access the latest methodologies that are shaping transport policies and smart city initiatives.
• Bridge Theory and Practice: Learn how abstract models translate into tools used by traffic engineers and urban planners.
• Expand Your Network: Understand the work of international experts, opening doors for collaboration and citation.

Learning Outcomes

By studying this volume, readers will be able to formulate and solve complex transport problems using mathematical models. They will develop the ability to critique existing models, design new experiments, and interpret statistical outputs. Specifically, learners will master techniques for optimising network flow, predicting travel demand under uncertainty, and evaluating safety interventions. These outcomes are directly applicable to academic theses, industry projects, and competitive examinations like GATE and IES.

Who Should Read

• Postgraduate Students: In civil engineering, transport planning, operations research, and applied mathematics.
• PhD Scholars: Seeking a comprehensive review of current research and gaps in transport mathematics.
• Transport Professionals: Engineers, policymakers, and consultants working on urban mobility and infrastructure projects.
• Researchers in Allied Fields: Economists, geographers, and data scientists interested in spatial and network analysis.

About the Author

Ben Heydecker is a professor at the Centre for Transport Studies, University College London, and a leading authority on traffic signal control and network dynamics. His research has influenced traffic management systems worldwide, and he has served on numerous international committees. As editor of this volume, he has curated contributions that reflect the highest standards of mathematical rigour and practical relevance.

About the Publisher

Elsevier Science Ltd is a globally respected academic publisher known for its peer-reviewed journals and books in science, technology, and medicine. With a legacy spanning over a century, Elsevier ensures that every publication meets stringent editorial standards. This hardcover edition is produced with durable binding and high-quality paper, making it a lasting addition to any library.

Conclusion

Mathematics in Transport is more than a conference proceeding—it is a tribute to a visionary and a toolkit for the future. For Indian readers, it offers a rare opportunity to engage with world-class research that can be directly applied to the nation's rapidly evolving transport landscape. Whether you are a student, academic, or practitioner, this book will sharpen your analytical abilities and broaden your perspective. Order your copy from Bookshops.in today and join the global conversation on mathematics in transport.