City Automated Transport System (CATS): The Legacy of an Innovative European Project

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In the context of smart cities, ensuring road safety is crucial due to increasing urbanization and the interconnected nature of contemporary urban environments. Leveraging innovative technologies is essential to mitigate risks and create safer communities. ...

pNEUMA is an open large-scale dataset of naturalistic trajectories of half a million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones in the congested downtown area of Athens, Greece. A unique observatory of traffic cong ...

A vehicle's steering is a particular system in that it is exposed to individual subjective reviews based on criteria that are hard to assess quantitatively. Haptic design of such systems is a prime concern that has been at the center of industrial developm ...

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Electric vehicle charging facilities offer their capacity constrained electric charge and parking to users for a fee. As electric vehicle adoption grows, so too does the potential for excessive resource utilization. In this paper, we study how prices set b ...

The electrification of private mobility is becoming a popular solution to reduce the reliance on fossil fuels. However, uncontrollable charging of a large electric vehicle fleet challenges the distribution grid due to transmission bottlenecks, voltage limi ...

The field of artificial intelligence is set to fuel the future of mobility by driving forward the transition from advanced driver-assist systems to fully autonomous vehicles (AV). Yet the current technology, backed by cutting-edge deep learning techniques, ...

This thesis introduces new operational management policies for two types of on-demand shared mobility systems, the now well-studied one-way carsharing systems and a new innovative semi-autonomous last-mile transportation system. In addition, two associated ...

Vehicle emissions are a major contributor of air pollution in urban areas, with severe consequences for public health and the environment. This paper focuses on analyzing vehicle emissions in a multimodal urban context to better understand its determinants ...

Semi-autonomous transportation systems are an intermediate step towards full automation of transportation systems. They use and benefit from the technological advances brought by automation while being already implementable at larger scale under the curren ...

Fast-charging stations that supply energy to electrical vehicles at high power rates may incorporate energy storage to avoid high currents to the grid and reduce peak-demand costs. We demonstrate the potential for utilizing such infrastructure for the prov ...

Significant shares of regional passenger railway still rely on pollutive diesel vehicles. Alstom, Bombardier, Siemens, and Stadler have reacted and recently announced Battery Electric and Fuel Cell Electric Vehicles (BEVs and FCEVs). In this paper, we anal ...

The dynamic electric autonomous Dial-a-Ride Problem (e-ADARP) is a generalization ofthe dial-a-ride problem which employs electric Autonomous Vehicles (e-AVs) to provide sharedrides to on-line requests. The goal of the dynamic e-ADARP is to maximize the nu ...

This paper i) compares parametric and semi-parametric representations of unobserved heterogeneity in hierarchical Bayesian logit models and ii) applies these methods to infer distributions of willingness to pay for features of shared automated vehicle (SAV ...

The present invention relates to a motor-wheel for an omni-directional motion vehicle, comprising a ring-shaped structure with a central axis, presenting an outer radial surface and an inner radial surface, whereby the outer radial surface comprises a plur ...

Problem definition: Vehicle-to-grid increases the low utilization rate of privately owned electric vehicles by making their batteries available to electricity grids. We formulate a robust optimization problem that maximizes a vehicle owner’s expected profi ...

The new era of “big data” requires going past the current conventional methods for gathering traffic information that until now depend either on fixed-area sensors or GPS devices. Unmanned Aerial Systems (UAS) or just "drones" have been proposed as a moder ...

The vehicle sharing systems (VSSs) are becoming more and more popular due to both financial and environmental effects. On the other hand, they face many challenges, such as inventory management of the vehicles and parking spots, imbalance of the vehicles, ...

For an autonomous car, getting surprised is the worst thing that can happen. To prevent that, plenty of studies are trying to forecast traffic participants’ actions especially in an urban scene using recurrent networks. Recurrent networks are used for temp ...

City Automated Transport System (CATS): The Legacy of an Innovative European Project

Chat with Graph Search

Artificial intelligence of things for smart cities: advanced solutions for enhancing transportation safety

pNEUMA dataset

Haptics based collaborative steering control in automated driving environments

Routing and charging game in ride-hailing service with electric vehicles

Resource aware pricing for electric vehicle charging

Potential of electric mobility as service to the grid in renewable energy hubs

Reshaping Perception for Autonomous Driving with Semantic Keypoints

Optimization of operational decisions for on-demand shared mobility systems

Empirical investigation of the emission-macroscopic fundamental diagram

Operational analysis of an innovative semi-autonomous on-demand transportation system

Ancillary Services Provision Utilizing a Network of Fast-Charging Stations for Electrical Buses

Can regional railway become emission-free with recently announced vehicles? - A case study of Bavaria

A predictive large neighborhood search for the dynamic electric autonomous dial-a-ride problem

A Dirichlet process mixture model of discrete choice: Comparisons and a case study on preferences for shared automated vehicles

Motor-wheel for an omni-directional mechanism and vehicle using the same

Reliable Frequency Regulation through Vehicle-to-Grid: Encoding Legislation with Robust Constraints

Collecting Large-Scale Traffic Data with a Swarm of Drones

An optimization framework for a light electric vehicle sharing system

A framework for a vehicle sharing system

Feed-forwards meet recurrent networks in vehicle trajectory prediction