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Exploring the Possibilities for Collaboration among Dutch mobile Network Operators for C-ITS ready 5G Networks

van den Oever, Mark (author)

Dutch road transportation networks are increasingly facing challenges regarding congestion, safety and environmental pollution. These challenges are intensified by increased urbanization and a growing need for connectivity . In the past, the remedy to most of these challenges laid in expanding the physical infrastructure through new asphalt....

master thesis 2024

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Comparative Analysis of LSTM, ARIMA, and Facebook’s Prophet for Traffic Forecasting: Advancements, Challenges, and Limitations

Üzel, Ziyar (author)

Accurate short-term traffic forecasting plays a crucial role in Intelligent Transportation Systems for effective traffic management and planning. In this study, the performances of three popular forecasting models are explored: Long Short-Term Memory (LSTM), Autoregressive Integrated Moving Average (ARIMA), and Facebook's Prophet, for short-term...

bachelor thesis 2023

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Sharing roads with automated vehicles: A questionnaire investigation from drivers’, cyclists’ and pedestrians’ perspectives

Li, Xiaomeng (author), Kaye, Sherrie Anne (author), Afghari, A.P. (author), Oviedo-Trespalacios, O. (author)

Despite the promised benefits, the introduction of Automated Vehicles (AVs) on roads will be confronted by many challenges, including public readiness to use those vehicles and share the roads with them. The risk profile of road users is a key determinant of their safety on roads. However, the relation of such risk profiles to road users’...

journal article 2023

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Big Data Analysis for Travel Time Characterization in Public Transportation Systems

Nesmachnow, Sergio (author), Massobrio, R.M. (author), Guridi, Santiago (author), Olmedo, Santiago (author), Tchernykh, Andrei (author)

In this article, we introduces a model based on big data analysis to characterize the travel times of buses in public transportation systems. Travel time is a critical factor in evaluating the accessibility of opportunities and the overall quality of service of public transportation systems. The methodology applies data analysis to compute...

journal article 2023

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Continual driver behaviour learning for connected vehicles and intelligent transportation systems: Framework, survey and challenges

Li, Zirui (author), Gong, Cheng (author), Lin, Yunlong (author), Li, G. (author), Wang, Xinwei (author), Lu, Chao (author), Wang, Miao (author), Chen, Shanzhi (author), Gong, Jianwei (author)

Modelling, predicting and analysing driver behaviours are essential to advanced driver assistance systems (ADAS) and the comprehensive understanding of complex driving scenarios. Recently, with the development of deep learning (DL), numerous driver behaviour learning (DBL) methods have been proposed and applied in connected vehicles (CV) and...

review 2023

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Graph Neural Networks for Intelligent Transportation Systems: A Survey

Rahmani, S. (author), Baghbani, Asiye (author), Bouguila, Nizar (author), Patterson, Zachary (author)

Graph neural networks (GNNs) have been extensively used in a wide variety of domains in recent years. Owing to their power in analyzing graph-structured data, they have become broadly popular in intelligent transportation systems (ITS) applications as well. Despite their widespread applications in different transportation domains, there is no...

journal article 2023

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A human-centric machine learning based personalized route choice prediction in navigation systems

Sun, Bingrong (author), Gong, Lin (author), Shim, J. (author), Jang, Kitae (author), Park, B. Brian (author), Wang, Hongning (author), Hu, Jia (author)

Real-world route navigation data indicate that nontrivial portion of drivers do not prefer the system-recommended best routes. Current navigation systems have simplified assumptions about drivers’ route choice preferences and do not adequately accommodate drivers’ heterogeneous route choice preferences, mainly because of: (i) difficulty in...

journal article 2022

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Scheduling Inland Waterway Transport Vessels and Locks Using a Switching Max-Plus-Linear Systems Approach

Segovia Castillo, P. (author), Pesselse, Mike (author), van den Boom, A.J.J. (author), Reppa, V. (author)

This paper considers the inland waterborne transport (IWT) problem, and presents a scheduling approach for inland vessels and locks to generate optimal vessel and lock timetables. The scheduling strategy is designed in the switching max-plus-linear (SMPL) systems framework, as these are characterized by a number of features that make them...

journal article 2022

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Vessel passage scheduling through cascaded bridges using mixed-integer programming

Segovia Castillo, P. (author), Negenborn, R.R. (author), Reppa, V. (author)

This paper addresses the problem of guaranteeing efficient inland waterway transport in the presence of sequential movable bridges, which must be operated to grant vessel passage. The main contribution is the formulation of the vessel passage scheduling problem as a mixedinteger programming problem. The scheduling algorithm receives vessel...

journal article 2022

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Optimizing driving entity switching of semi-automated vehicles under automation degradation

Bakos, Csanád (author)

Transitioning to use automated vehicles is a gradual process. Until full automation capabilities are developed there is a need to mediate which driving entity - human or autonomous driving system (ADS) - should be in control depending on the circumstances. This research aims at investigating the switching between manual and automated driving in...

bachelor thesis 2021

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Emergency Escape Manoeuvre of a Faulty Truck in a Platoon Formation Moving in Highway

Christodoulou, Christodoulos (author)

The platooning of trucks provides significant benefits in the existing transportation systems regarding social, economic and environmental aspects. Due to the platoon's high dependence on sensors, it is critically important to have fault-tolerant countermeasures that deal efficiently with failures by achieving minimal risk condition. This thesis...

master thesis 2021

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Hearing What You Cannot See: Acoustic Vehicle Detection Around Corners

Schulz, Yannick (author), Mattar, Avinash Kini (author), Hehn, T.M. (author), Kooij, J.F.P. (author)

This work proposes to use passive acoustic perception as an additional sensing modality for intelligent vehicles. We demonstrate that approaching vehicles behind blind corners can be detected by sound before such vehicles enter in line-of-sight. We have equipped a research vehicle with a roof-mounted microphone array, and show on data...

journal article 2021

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A Multi-class Lane-changing Advisory System for Freeway Merging Sections

Sharma, Salil (author), Papamichail, Ioannis (author), Nadi Najafabadi, A. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)

Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. This application balances the distribution of traffic over the available lanes of a freeway, by...

journal article 2021

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A Multi-Class Lane-Changing Advisory System for Freeway Merging Sections Using Cooperative ITS

Sharma, Salil (author), Papamichail, Ioannis (author), Nadi Najafabadi, A. (author), van Lint, J.W.C. (author), Tavasszy, Lorant (author), Snelder, M. (author)

Cooperative intelligent transportation systems (C-ITS) support the exchange of information between vehicles and infrastructure (V2I or I2V). This paper presents an in-vehicle C-ITS application to improve traffic efficiency around a merging section. The application balances the distribution of traffic over the available lanes of a freeway, by...

journal article 2021

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Risk Quantification for Automated Driving Systems in Real-World Driving Scenarios

de Gelder, E. (author), Elrofai, Hala (author), Saberi, Arash Khabbaz (author), Paardekooper, Jan Pieter (author), Den Camp, Olaf Op (author), De Schutter, B.H.K. (author)

The development of safety validation methods is essential for the safe deployment and operation of Automated Driving Systems (ADSs). One of the goals of safety validation is to prospectively evaluate the risk of an ADS dealing with real-world traffic. ISO 26262 and ISO/DIS 21448, the leading standards in automotive safety, provide an approach...

journal article 2021

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Cross-View Matching for Vehicle Localization by Learning Geographically Local Representations

Xia, Z. (author), Booij, Olaf (author), Manfredi, Marco (author), Kooij, J.F.P. (author)

Cross-view matching aims to learn a shared image representation between ground-level images and satellite or aerial images at the same locations. In robotic vehicles, matching a camera image to a database of geo-referenced aerial imagery can serve as a method for self-localization. However, existing work on cross-view matching only aims at...

journal article 2021

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The next smart move: A decision support system for urban implementation of smart mobility solutions

Wagenaar, Danielle (author)

The urban mobility sector is developing at a fast pace and is demanding transportation systems to be resilient and sustainable. Policy makers deal with an extensive offer of new technologies but lack an overview of the contribution of these mobility solutions to their urban planning ambitions. Uncertainty exists regarding both the technological...

master thesis 2020

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State-of-the-art of Blockchain Technology in Intelligent Transportation Systems: Literature review

van Dijk, Jurian (author)

In recent years blockchain technology has become a popular topic for research in multiple fields of discipline. For the transport sector especially, the technology is seen as disruptive. Because the research field is young and the research on the topic is developing fast, state-of-the-art knowledge is exclusive to a select group of academics....

student report 2020

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Paving the way for autonomous cars: Current projects and challenges in the Netherlands

Ruysch, Iris (author)

<br/>Currently, cities are in the midst of a transportation transition, namely, from human-driven to driverless vehicles. Because of the rapid development of technology, many systems are being automated or even becoming autonomous. Autonomous means that the system is able to perform each task automatically without any human intervention. Much...

master thesis 2019

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Efficient freeway MPC by parameterization of ALINEA and a speed-limited area

van de Weg, Goof Sterk (author), Hegyi, A. (author), Hoogendoorn, S.P. (author), De Schutter, B.H.K. (author)

Freeway congestion can reduce the freeway throughput due to the capacity drop or due to blocking caused by spillback to upstream ramps. Research has shown that congestion can be reduced by the application of ramp metering and variable speed limits. Model predictive control is a promising strategy for the optimization of the ramp metering...

journal article 2019