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Simulating cyclist behaviour: An examination of what we know about this subject and how we should go further

Veraart, Marijn (author)

Cycling as a mode of transport is getting increasingly more attention from academics and governments around the world. It improves the physical and mental well being of citizens, it is efficient in terms of space and it provides economic benefits. However, traffic engineers and urban planners of these cities currently lack the means to...

master thesis 2024

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Capacity of a constrained urban airspace: Influencing factors, analytical modelling and simulations

Aarts, Michiel J.M. (author), Ellerbroek, Joost (author), Knoop, V.L. (author)

The traffic density of small aerial vehicles operating within urban environments is expected to increase significantly in the near future. This urban environment is highly constrained due to being limited to the low-altitude airspace directly above the existing road network. Multiple studies have addressed factors influencing the capacity of...

journal article 2023

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Connected Traffic of Vulnerable Bicyclists and Automated Vehicles: Deep Learning Trajectory Generation for Realistic Simulated Bicycle Intersection Crossings

Schmidt, C.M. (author), Moore, J.K. (author), Dabiri, A. (author), Happee, R. (author), Schulte, F. (author)

poster 2023

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Modelling and Assessment of an Autonomous Ride-Sharing Service’s Urban Utilization: Case Study - Rotterdam

Sharifi, Mahtab (author)

Increasing demand for passenger services in densely populated urban environments, are currently covered overwhelmingly by private vehicles. Their impact on CO2 emission, present a serious obstacle to the reduction objectives, in the Netherlands alone the target of 45% by 2030, for limiting the global warming to 1.5°C degrees. Autonomous Vehicles...

master thesis 2022

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Modeling Automated Driving in Microscopic Traffic Simulations for Traffic Performance Evaluations: Aspects to Consider and State of the Practice

Farah, H. (author), Postigo, Ivan (author), Reddy, N. (author), Dong, Y. (author), Rydergren, Clas (author), Raju, Narayana (author), Olstam, Johan (author)

The gradual deployment of automated vehicles on the existing road network will lead to a long transition period in which vehicles at different driving automation levels and capabilities will share the road with human driven vehicles, resulting into what is known as mixed traffic. Whether our road infrastructure is ready to safely and efficiently...

journal article 2022

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The impact of regulations for a centralised route guidance system: A simulation study to the effect of a regulated centralised congestion avoiding route guidance system with different penetration rates of automated vehicles on the Milan ring network

van den Burg, Bas (author)

This study aims to quantify the impact on the traffic flow performance of different regulation strategies for a centralised route guidance system where road authorities and service providers work together in a coordinated approach. Previous research concentrates on the effect of a centralised route guidance system when every vehicle participates...

master thesis 2021

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Incorporating Human Factors to Explain the Diving Behaviour under Adverse Weather Conditions

Kokoris, Dimitris (author)

Modern societies are heavily relied on efficient transportation systems for mobilizing people and goods. These systems are mainly constituted by road traffic networks. Currently, traffic demand is immense and perpetually increasing with unprecedented rates that traffic congestion has become an imminent subsequent. Over time, all this human...

master thesis 2021

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“Everything somewhere” or “something everywhere”: Examining the implications of automated vehicles’ deployment strategies

Tafidis, Pavlos (author), Farah, H. (author), Brijs, Tom (author), Pirdavani, Ali (author)

“Everything somewhere” or “something everywhere” is the classic dilemma concerning the development and implementation of the future generation of vehicles, i.e., automated vehicles (AVs). Both strategies include diverse policy options that could significantly impact road networks’ planning, design, operation, and utilization. Until now, no...

journal article 2021

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Intelligent signalized intersection management for mixed traffic using Deep Q-Learning

Schneider, C.C.N. (author)

Signalized urban intersections are bottlenecks for traffic and cause congestion. To improve traffic signal plans, research efforts have been made to create self-adaptive traffic controllers, i.e. controllers which adapt in real-time to the current traffic demand based on connected vehicle data. Past research on self-adaptive controllers has...

master thesis 2020

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COBRA: A cooperative breakdown prevention algorithm

Overvoorde, Rick (author)

Ever increasing traffic load on freeways calls for smart solutions to improve throughput. With the uprise and standardization of C-ITS, accuracy and latency of traffic state measurements are immensely improved, while the span of control is increased. In this paper, a traffic control algorithm that aims to prevent breakdown at recurring...

master thesis 2020

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Evaluation of Time-window Trajectories with respect to Fuel Consumption and Arrival Time

Mesfum, Johannes (author)

The flight planning process is an extensive and long process to direct and maintain a high level of operations within the airspace. As air traffic demand grows year after year, it's worthwhile to optimise the European air traffic system further. One way of optimising the system, is by creating optimal flight schedules that solve for demand...

master thesis 2020

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Verification of Cyclist Simulation Model

Chou, Chen Yen (author)

To intrigue more people to cycle, it is essential to assess the current design of the cycling infrastructure to guarantee the efficiency and safety for the users. A credible simulation of cyclists is helpful to evaluate different designs of infrastructure and point out the problem. A valid simulation model requires proper verification and...

master thesis 2020

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A generic multi-level framework for microscopic traffic simulation with automated vehicles in mixed traffic

Calvert, S.C. (author), van Arem, B. (author), van Lint, J.W.C. (author)

With an increasing number of automated vehicles (AV) appearing on roads and interacting with conventional traffic, there is a need for improved simulation approaches to replicate and forecast the resulting effects. Interactions between AVs and their drivers, and interaction with other human drivers involve new types of complex behavioural...

journal article 2020

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What is the potential of a bird strike advisory system?

Metz, I.C. (author), Mühlhausen, Thorsten (author), Ellerbroek, Joost (author), Kügler, Dirk (author), Hoekstra, J.M. (author)

This paper presents a collision avoidance algorithm to prevent bird strikes for aircraft departing from an airport. By using trajectory-information of aircraft and birds, the algorithm predicts potential collisions. Collision avoidance is performed by delaying departing aircraft until they can follow a collision-free trajectory. An...

conference paper 2019

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Using advanced adaptive cruise control systems to reduce congestion at sags: An evaluation based on microscopic traffic simulation

Goni Ros, B. (author), Schakel, W.J. (author), Papacharalampous, Alexandros E. (author), Wang, M. (author), Knoop, V.L. (author), Sakata, Ichiro (author), van Arem, B. (author), Hoogendoorn, S.P. (author)

Sags are roadway sections along which the gradient increases gradually in the direction of traffic. Sags are generally bottlenecks in freeway networks. Previous research suggests that traffic management measures using advanced Adaptive Cruise Control (ACC) systems could reduce congestion on freeways, but little is known about their potential...

journal article 2019

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Assessing the impact of shared and autonomous vehicles on urban traffic: A simulation approach

Overtoom, Irene (author)

New developments in the automotive world have the power to change mobility, but because of high uncertainties, municipalities are adopting a wait-and-see attitude. Nonetheless, autonomous, connected and shared vehicle technologies are in a far stage of development and it is only a matter of time before AVs and SAVs enter urban traffic. This...

master thesis 2018

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A generic multi-level framework for microscopic traffic simulation: Theory and an example case in modelling driver distraction

van Lint, J.W.C. (author), Calvert, S.C. (author)

Incorporation of more sophisticated human factors (HF) in mathematical models for driving behavior has become an increasingly popular and important research direction in the last few years. Such models enable us to simulate under which conditions perception errors and risk-taking lead to interactions that result in unsafe traffic conditions...

journal article 2018

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A generic data assimilation framework for vehicle trajectory reconstruction on signalized urban arterials using particle filters

Xie, X. (author), van Lint, J.W.C. (author), Verbraeck, A. (author)

With trajectory data, a complete microscopic and macroscopic picture of traffic flow operations can be obtained. However, trajectory data are difficult to observe over large spatiotemporal regions—particularly in urban contexts—due to practical, technical and financial constraints. The next best thing is to estimate plausible trajectories from...

journal article 2018

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Comparative assessment of safety indicators for vehicle trajectories on the highway

Mullakkal-Babu, F.A. (author), Wang, M. (author), Farah, H. (author), van Arem, B. (author), Happee, R. (author)

Safety measurement and analysis have been a challenging and well-researched topic in transportation. Conventionally, surrogate safety measures have been used as safety indicators in simulation models for safety assessment, in control formulations for driver assistance systems, and in data analysis of naturalistic driving studies. However,...

conference paper 2017

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Impacts of (Cooperative) Adaptive Cruise Control Systems on Traffic Flow: A simulation case study on the effects of (cooperative) adaptive cruise control on the A15 highway

Huisman, M. (author)

This thesis is assessing the effects of (Cooperative) Adaptive Cruise Control using microscopic and mesoscopic simulations in Aimsun. The Gipps car-following model is manipulated in such a way that it represents (C)ACC driving behavior to a satisfactory extent. A simulation network of a part of the A15 highway containing the junctions Ridderkerk...

master thesis 2016