Real-time operations management decision support systems a conceptual framework
2017 (English)In: Modelling Intelligent Multi-Modal Transit Systems, CRC Press , 2017, p. 108-129Chapter in book (Other academic)
Abstract [en]
Public transport operations are subject to inherent uncertainties. In the era of Advanced Public Transport Systems (APTS), operators can collect, process and analyze real-time system conditions as well as deploy real-time operations management strategies. Proactive service management requires operators to continuously monitor service performance and assess the implications of alternative interventions by forecasting and simulating how the system will evolve under various scenarios. Operations management decisions need to consider the prevailing and evolving supply and demand uncertainties as well as the capability of both service provider and service users to adapt to changing conditions. Despite the importance of considering these interactions, there is a pronounced division in the public transport modelling sphere between public transport operations and public transport.
Place, publisher, year, edition, pages
CRC Press , 2017. p. 108-129
Keywords [en]
Adaptive service planning, Agent-based models, Control, Control center, Decision support system, Fl eet management, Real-time operations, Reliability, Traffi c simulation models, Traffic management, Adaptive control systems, Advanced public transportation systems, Artificial intelligence, Autonomous agents, Computational methods, Control engineering, Decision making, Decision support systems, Economics, Interactive computer systems, Adaptive services, Agent-based model, Real-time operation, Real time systems
National Category
Transport Systems and Logistics
Identifiers
URN: urn:nbn:se:kth:diva-302187DOI: 10.1201/9781315368986-10Scopus ID: 2-s2.0-85052589069OAI: oai:DiVA.org:kth-302187DiVA, id: diva2:1597404
Note
ISBN Complete book: 9781498743549, QC 20210927
2021-09-272021-09-272023-05-16Bibliographically approved