ID - 131910340 TI - Public Transport Optimization PY - 2022 SN - 9783031124440 9783031124433 9783031124457 9783031124464 PB - Cham : Springer International Publishing : Imprint: Springer, DB - UniCat KW - Methodology of economics KW - Operational research. Game theory KW - Mathematical statistics KW - Transport. Traffic KW - Planning (firm) KW - Physical distribution KW - Business management KW - Business economics KW - Artificial intelligence. Robotics. Simulation. Graphics KW - intern transport KW - financieel management KW - SCM (supply chain management) KW - management KW - mathematische modellen KW - verkeer KW - transport KW - econometrie KW - logistiek KW - KI (kunstmatige intelligentie) KW - operationeel onderzoek KW - Business logistics. KW - Industrial Management. KW - Artificial intelligence. KW - Transportation engineering. KW - Traffic engineering. KW - Operations research. KW - Management science. KW - Logistics. KW - Supply Chain Management. KW - Artificial Intelligence. KW - Transportation Technology and Traffic Engineering. KW - Operations Research, Management Science . KW - AI (artificiële intelligentie) KW - Industrial management. UR - https://www.unicat.be/uniCat?func=search&query=sysid:131910340 AB - This textbook provides a comprehensive step-by-step guide for new public transport modelers. It includes an introduction to mathematical modeling, continuous and discrete optimization, numerical optimization, computational complexity analysis, metaheuristics, and multi-objective optimization. These tools help engineers and modelers to use better existing public transport models and also develop new models that can address future challenges. By reading this book, the reader will gain the ability to translate a future problem description into a mathematical model and solve it using an appropriate solution method. The textbook provides the knowledge needed to develop highly accurate mathematical models that can serve as decision support tools at the strategic, tactical, and operational planning levels of public transport services. Its detailed description of exact optimization methods, metaheuristics, bi-level, and multi-objective optimization approaches together with the detailed description of implementing these approaches in classic public transport problems with the use of open source tools is unique and will be highly useful to students and transport professionals. ER -