How Microsimulation Models Can Be Used To Assess Intelligent Transport System Strategies
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How Microsimulation Models Can Be Used to Assess Intelligent Transport System Strategies
The microsimulation models (of different kind) are used for the measurement of transport efficiency and as the road planning instrument. There is also a strong desire to embed traffic modelling as a tool for the tuning up of intelligent traffic system strategies. In the current paper we point on several challenges that modellers are facing. These problems should be assessed if we want to avoid mathematical and logical flaws that lead to wrong conclusions. The answer to these questions is the use of real traffic data obtained from traffic control systems.
Intelligent Transport Systems
This book constitutes the proceedings of the 8th International Conference on Intelligent Transport Systems, INTSYS 2024, held in Pisa, Italy, duirng December 5-6, 2024. The 25 full papers presented in this book were carefully reviewed and selected from 60 submissions. The papers are organized in the following topical sections: smart technologies; traceability; traffic forecasting and control; road safety; regulations and policies; autonomous vehicles; model-based analysis for cooperative transportation under uncertainty and threats.
Modelling Intelligent Multi-Modal Transit Systems
The growing mobility needs of travellers have led to the development of increasingly complex and integrated multi-modal transit networks. Hence, transport agencies and transit operators are now more urgently required to assist in the challenging task of effectively and efficiently planning, managing, and governing transit networks. A pre-condition for the development of an effective intelligent multi-modal transit system is the integration of information and communication technology (ICT) tools that will support the needs of transit operators and travellers. To achieve this, reliable real-time simulation and short-term forecasting of passenger demand and service network conditions are required to provide both real-time traveller information and successfully synchronise transit service planning and operations control. Modelling Intelligent Multi-Modal Transit Systems introduces the current trends in this newly emerging area. Recent developments in information technology and telematics have enabled a large amount of data to become available, thus further attracting transport researchers to set up new models outside the context of the traditional data-driven approach. The alternative demand-supply interaction or network assignment modelling approach has improved greatly in recent years and has a crucial role to play in this new context.