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A column-generation matheuristic approach for optimizing first-mile ridesharing services with publicly- and privately-owned autonomous vehicles

He, P. (author), Jin, Jian Gang (author), Trépanier, Martin (author), Schulte, F. (author)

The burden of first-mile connection to public transit stations is a key barrier that discourages riders from taking public transportation. Public transit agencies typically operate a modest fleet of vehicles to provide first-mile services due to the high operating costs, thus failing to adequately meet the first-mile travel demands,...

journal article 2024

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How Far Ahead Should Autonomous Vehicles Start Resolving Predicted Conflicts? Exploring Uncertainty-Based Safety-Efficiency Trade-Off

Li, G. (author), Li, Zirui (author), Knoop, V.L. (author), van Lint, J.W.C. (author)

Resolving predicted conflicts is vital for safe and efficient autonomous vehicles (AV). In practice, vehicular motion prediction faces inherent uncertainty due to heterogeneous driving behaviours and environments. This spatial uncertainty increases non-linearly with prediction time horizons, leading AVs to perceive more road space occupied by...

journal article 2024

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Benchmarking Behavior Prediction Models in Gap Acceptance Scenarios

Schumann, J.F. (author), Kober, J. (author), Zgonnikov, A. (author)

Autonomous vehicles currently suffer from a time-inefficient driving style caused by uncertainty about human behavior in traffic interactions. Accurate and reliable prediction models enabling more efficient trajectory planning could make autonomous vehicles more assertive in such interactions. However, the evaluation of such models is...

journal article 2023

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Planning policies for the driverless city using backcasting and the participatory Q-Methodology

Nogués, Soledad (author), González-González, Esther (author), Stead, D. (author), Cordera, Rubén (author)

Autonomous vehicles (AVs) can potentially bring about major changes in cities. Anticipatory planning approaches may provide valuable opportunities for fostering desirable transitions and pre-empting undesirable impacts. This research employs a combination of two methods to define the key policies to support a transition to the desirable...

journal article 2023

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A Survey on Approximate Edge AI for Energy Efficient Autonomous Driving Services

Katare, D. (author), Perino, Diego (author), Nurmi, Jari (author), Warnier, Martijn (author), Janssen, M.F.W.H.A. (author), Ding, Aaron Yi (author)

Autonomous driving services depends on active sensing from modules such as camera, LiDAR, radar, and communication units. Traditionally, these modules process the sensed data on high-performance computing units inside the vehicle, which can deploy intelligent algorithms and AI models. The sensors mentioned above can produce large volumes of data...

journal article 2023

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PEM: Perception Error Model for Virtual Testing of Autonomous Vehicles

Piazzoni, Andrea (author), Cherian, Jim (author), Dauwels, J.H.G. (author), Chau, Lap Pui (author)

Even though virtual testing of Autonomous Vehicles (AVs) has been well recognized as essential for safety assessment, AV simulators are still undergoing active development. One particular challenge is the problem of including the Sensing and Perception (S&P) subsystem into the virtual simulation loop in an efficient and effective manner....

journal article 2023

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Learning from Demonstrations of Critical Driving Behaviours Using Driver's Risk Field

Du, Yurui (author), Acerbo, Flavia Sofia (author), Kober, J. (author), Son, Tong Duy (author)

In recent years, imitation learning (IL) has been widely used in industry as the core of autonomous vehicle (AV) planning modules. However, previous IL works show sample inefficiency and low generalisation in safety-critical scenarios, on which they are rarely tested. As a result, IL planners can reach a performance plateau where adding more...

journal article 2023

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Search-based task and motion planning for hybrid systems: Agile autonomous vehicles

Ajanović, Z. (author), Regolin, Enrico (author), Shyrokau, B. (author), Ćatić, Hana (author), Horn, Martin (author), Ferrara, Antonella (author)

To achieve optimal robot behavior in dynamic scenarios we need to consider complex dynamics in a predictive manner. In the vehicle dynamics community, it is well know that to achieve time-optimal driving on low friction surface, the vehicle should utilize drifting. Hence, many authors have devised rules to split circuits and employ drifting...

journal article 2023

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Human–machine coordination in mixed traffic as a problem of Meaningful Human Control

Mecacci, Giulio (author), Calvert, S.C. (author), Santoni De Sio, F. (author)

The urban traffic environment is characterized by the presence of a highly differentiated pool of users, including vulnerable ones. This makes vehicle automation particularly difficult to implement, as a safe coordination among those users is hard to achieve in such an open scenario. Different strategies have been proposed to address these...

journal article 2023

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Hierarchical Motion Planning and Tracking for Autonomous Vehicles Using Global Heuristic Based Potential Field and Reinforcement Learning Based Predictive Control

Du, Guodong (author), Zou, Yuan (author), Zhang, Xudong (author), Li, Z. (author), Liu, Qi (author)

The autonomous vehicle is widely applied in various ground operations, in which motion planning and tracking control are becoming the key technologies to achieve autonomous driving. In order to further improve the performance of motion planning and tracking control, an efficient hierarchical framework containing motion planning and tracking...

journal article 2023

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A General Framework to Forecast the Adoption of Novel Products: A Case of Autonomous Vehicles

Dubey, S.K. (author), Sharma, Ishant (author), Mishra, Sabyasachee (author), Cats, O. (author), Bansal, Prateek (author)

Due to the unavailability of prototypes, the early adopters of novel products actively seek information from multiple sources (e.g., media and social networks) to minimize the potential risk. The existing behavior models not only fail to capture the information propagation within the individual's social network, but also they do not...

journal article 2022

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Dynamic Road Surface Signatures in Automotive Scenarios

Bouwmeester, W. (author), Fioranelli, F. (author), Yarovoy, Alexander (author)

A method to compute road surface signatures in the automotive scenario is presented. This method is subsequently applied to a rough asphalt surface without undulations. It is shown that, due to the observation geometry, the road surface signature experiences significant spreading along the Doppler-axis, resulting in a distinct range-Doppler map...

conference paper 2022

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Ethical issues in focus by the autonomous vehicles industry

Martins Martinho Bessa, A.C. (author), Herber, Nils (author), Kroesen, M. (author), Chorus, C.G. (author)

The onset of autonomous driving has provided fertile ground for discussions about ethics in recent years. These discussions are heavily documented in the scientific literature and have mainly revolved around extreme traffic situations depicted as moral dilemmas, i.e. situations in which the autonomous vehicle (AV) is required to make a...

journal article 2021

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Adaptive strategies to platoon merging with vehicle engine uncertainty

Jain, V. (author), Liu, Di (author), Baldi, S. (author)

While several synchronization-based protocols have been provided for formation-keeping of cooperative vehicles, the problem of synchronized merging is more challenging. Challenges associated to the merging scenario include the need for establishing bidirectional interaction (in place of unidirectional look-ahead interaction), and the need for...

journal article 2021

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Overall synthesis and conclusions

van Wee, G.P. (author), Milakis, Dimitris (author), Thomopoulos, Nikolas (author)

This chapter first systematically summarizes the most important findings and policy implications of each of the chapters included in this book volume. Next it synthesizes the overall findings and policy implications, and discusses future avenues for policy making and research. A first conclusion is that the chapters make clear that the ranges...

book chapter 2020

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Potential health and well-being implications of autonomous vehicles

Singleton, Patrick A. (author), De Vos, Jonas (author), Heinen, Eva (author), Pudane, B. (author)

Transportation's effects on health and well-being are widely recognized. In the near future, autonomous vehicles (AVs) are expected to revolutionize transportation options and ways of travel. Consequently, the effect of AVs on population health and well-being is a crucial topic of interest for transportation policymaking, one that has...

book chapter 2020

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Multi-Vehicle Automated Driving as a Generalized Mixed-Integer Potential Game

Fabiani, F. (author), Grammatico, S. (author)

This paper considers the multi-vehicle automated driving coordination problem. We develop a distributed, hybrid decision-making framework for safe and efficient autonomous driving of selfish vehicles on multi-lane highways, where each dynamics is modeled as a mixed-logical–dynamical system. We formalize the coordination problem as a generalized...

journal article 2020

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Assessing the impacts of shared autonomous vehicles on congestion and curb use: A traffic simulation study in The Hague, Netherlands

Overtoom, Irene (author), Correia, Gonçalo (author), Huang, Yilin (author), Verbraeck, A. (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 shared autonomous vehicles (SAVs) enter...

journal article 2020

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AV meets PT: the future of automated vehicles in public transport

Boersma, A.M. (author), van Oort, N. (author), Scheltes, Arthur (author)

This paper gives an overview of the projects and pilots with automated vehicles as public transport in the Netherlands as well as the remaining research questions and preliminary results of passenger related studies regarding expected ridership.

abstract 2019

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Setting the agenda for parking research in other cities

Pojani, Dorina (author), Kimpton, Anthony (author), Sipe, Neil (author), Corcoran, Jonathan (author), Mateo-Babiano, Iderlina (author), Stead, D. (author)

The chapter reflects on the 12 case studies discussed in the book and considers their implications for future research. At the end of the chapter, a new agenda for parking research in large cities is set out.

book chapter 2019