Performance analysis on joint mode and destination choice: a tour-based model of Limburg

Comparing the performance of distribution functions and a discrete choice model, on a mode & destination choice in a tour-based model. An discrete choice model is composed for a tour-based model. Both choice models are implemented in a large-scale tour-based model and the performances are compared.

Dynamic Transport Model for Nautical Recreational Activities

The aim of this research is to develop a transport model that is able to identify potential conflicts and bottlenecks for nautical recreational activities in the IJburgbaai, an open-space water area in the eastern part of Amsterdam.

Multi-modal System Design for Urban Metro Systems to Handle Excessive Demand Caused by Mega-events: Master of Science in Transport, Infrastructure and Logistics

Due to the continuous expansion of the urban scale, the urban metro transportation system also needs to be constantly updated, especially those cities that need to carry mega-events. Larger carrying capacity, better collaboration mode and more optimized operation mode are required to handle the sudden increase in travel demand. The ever-growing...

Is Telecommuting Our New Mode of Transportation?: A System Dynamic Approach Into The Mobility Impacts Of COVID-19

The COVID-19 pandemic has changed travel behaviour and mobility in the Netherlands. It is questioned if the mobility system is subject to long-lasting change in the near and distant future. This study aims to observe the development of mobility impacts over time with a quantitative approach.<br/><br/>Current traditional transport models have...

Modelling Impacts of Mobility Hubs in Residential Areas

With the number of passenger cars increasing worldwide, shared modes are being introduced in addition to public transport and active modes to reduce private car usage. The concept of mobility hubs was introduced to improve the accessibility of the different available transport modes. At a mobility...

Integrating Predictive and Optimization Model for Intelligent Schedule Management based on Real Time ETA Information: A Concept of Machine Learning and Exact Solution in Petrochemical Loading Facility

This study addresses the truck rescheduling problem as the consequence of uncertain arrival time. It proposes an integrated system of predictive model powered by machine learning algorithm and exact optimization model such that it is distinct from most existing literatures in this domain. The uncertainty of truck arrival time is captured as...

Climate adaptation measures for local flooding of the Dutch national highway network: A case study on Vught and Sint-Michielsgestel

This master thesis provides an approach to develop Adaptation Pathways to prevent local flooding of the Dutch national highway network, using the A2 between the Vught and Sint-Michielsgestel junctions as a case study. Local flooding as result of extreme precipitation has the highest urgency on the Dutch national highway network, due to its...

Bus management using multi-agent reinforcement learning

Bus bunching is a problem that occurs in many high frequent bus systems. This can be averted by several countermeasures of which holding control is the most popular one in practice. Holding control strategies are often implemented using predefined rules. In this study, multi-agent reinforcement learning is selected to develop an effective...