- Transportation Planning and Optimization
- Traffic control and management
- Traffic Prediction and Management Techniques
- Evacuation and Crowd Dynamics
- Traffic and Road Safety
- Urban Transport and Accessibility
- Transportation and Mobility Innovations
- Human Mobility and Location-Based Analysis
- Autonomous Vehicle Technology and Safety
- Vehicle emissions and performance
- Economic and Environmental Valuation
- Maritime Navigation and Safety
- Simulation Techniques and Applications
- Human-Automation Interaction and Safety
- Vehicular Ad Hoc Networks (VANETs)
- Maritime Ports and Logistics
- Urban and Freight Transport Logistics
- Sharing Economy and Platforms
- Ship Hydrodynamics and Maneuverability
- Data Management and Algorithms
- Smart Parking Systems Research
- Maritime Transport Emissions and Efficiency
- Urban Design and Spatial Analysis
- Spatial Cognition and Navigation
- Structural Integrity and Reliability Analysis
Delft University of Technology
2015-2024
Transport Canada
2010-2022
Monash University
2020-2021
GTx (United States)
2009
KU Leuven
2008
Traffic operations in public walking spaces are to a large extent determined by differences pedestrian traffic demand and infrastructure supply. Congestion occurs when exceeds the capacity. In turn, latter is number of factors, such as width bottleneck wall surface, well interaction behavior pedestrians passing bottleneck. This article discusses experimental findings microscopic case bottlenecks. Results for both narrow wide discussed compared results an experiment without It shown how...
Nowadays traffic flow and congestion is one of the main societal economical problems related to transportation in industrialized countries. In this respect, managing congested networks requires a clear understanding operations; i.e. insights into what causes congestion, determines time location breakdown, how does propagate through network, etc., are essential. For purpose, during past fifty years, wide range theories models have been developed answer these research questions. This paper...
An historical overview of the development traffic flow models is proposed in form a model tree. The tree shows genealogy four families: fundamental relation, microscopic, mesoscopic and macroscopic models. We discuss families, branches By describing developments modeling, we take one step further back than conventional literature reviews that focus on current state-of-the-art. This allows us to identify main trends modeling: (1) convergence many generalized models, (2) adaptations extensions...
Interest into active modes (i.e. walking and cycling) has increased significantly over the past decades, with governments worldwide ultimately aiming for a modal shift towards modes. To devise policies that promote this goal, understanding determinants influence choice an mode is essential. The Netherlands country large demographically diverse user population, mature complete infrastructure, safe environment. Mode research from enables comparison on relevant countries have low share....
Bike-sharing systems have witnessed rapid growth in the last decades. has been found to influence modal shift from car, public transit, and active transportation modes. However, impacts on by considering different kinds of bike-sharing are rarely discussed. This study examines dynamics influential factors response various systems. Data obtained an online survey targeting both non-bike-sharing users a Dutch context. Binary logit models developed investigate relationship between with...
To assess the design of walking infrastructure—such as transfer stations, shopping malls, sport stadiums, and others, well to support planning timetables for public transit—tools aid designer are needed. this end, microscopic macroscopic pedestrian flow models can be have been applied. calibrate validate such models, gain more insight into characteristics flows under a variety circumstances, detailed data required. Delft University Technology has recently carried out experimental research...
Abstract Gaining insights into pedestrian flow operations and assessment tools for walking speeds comfort is important in, instance, planning geometric design of infrastructural facilities, as well management flows under regular safety‐critical circumstances. Pedestrian are complex, vehicular simulation modelling approaches generally not applicable to modelling. This article focusses on behaviour theory It assumed that pedestrians autonomous predictive controllers minimize the subjective...
An approach to freeway travel time prediction based on recurrent neural networks is presented. Travel requires a modeling that capable of dealing with complex nonlinear spatio-temporal relationships among flows, speeds, and densities. Based the literature, feedforward are class mathematical models well suited for solving this problem. A drawback feed-forward size composition input series inherently design choices thus fixed all input. This may lead unnecessarily large models. Moreover,...
Freeway traffic state estimation and prediction are central components in real-time management information applications. Model-based estimators consist of a dynamic model for the variables (e.g., first- or second-order macroscopic flow model), set observation equations relating sensor observations to system fundamental diagrams), data-assimilation technique combine predictions with [e.g., extended Kalman filter (EKF)]. Commonly, both process models formulated Eulerian (space-time)...
Abstract: Fusing freeway traffic data such as spot speeds and travel times from a variety of sensors (loops, cameras, automated vehicle identification systems) into coherent, consistent, reliable picture the prevailing conditions (e.g., speeds, flows) is critical task in any off- or online management archival system. This challenging differ terms spatial temporal resolution, accuracy, reliability, most importantly spatiotemporal semantics. In this article, we propose fusion algorithm (the...
In literature there are several approaches to eliminate shock waves on freeways by means of dynamic speed limits. Most them incorporate control systems that have a high computational complexity or contain parameters without direct physical interpretation, which may make the application in real life difficult. Here we present an approach called SPECIALIST is based wave theory, and has with clear meaning. The interpretation leads intuitive insightful formulation tuning guidelines. One most...
Traffic management can prevent too many vehicles in a traffic network from reducing performance. In particular, be routed so that the bottlenecks are not oversaturated. The macroscopic fundamental diagram provides relationship between number of and control applied on this level to overcome computational complexity networkwide with traditional levels links or vehicles. main questions (a) how effective is aggregate variables compared full information (b) whether shape changes under control. A...
We design controllers and derive implementable algorithms for autonomous cooperative car-following control (CFC) systems under a receding horizon framework. An CFC system controls vehicle acceleration to optimize its own situation, whereas (C-CFC) coordinates accelerations of vehicles the joint situation. To realize simultaneous many in traffic system, decentralized distributed are implemented microscopic simulator C-CFC controllers, respectively. The impacts proposed on dynamic flow...