activity
20182023
most citedRoad safety of passing maneuvers: a bivariate extreme value theory approach under non-stationary conditions

70 citations · 97 across the 8 of their papers we have counts for

collaborators

8 papers

cs.LG2023

Applied metamodelling for ATM performance simulations

Christoffer Riis, Francisco N. Antunes, Tatjana Bolić +4

The use of Air traffic management (ATM) simulators for planing and operations can be challenging due to their modelling complexity. This paper presents XALM (eXplainable Active Lea…

cs.CV2023

Scoring Cycling Environments Perceived Safety using Pairwise Image Comparisons

Miguel Costa, Manuel Marques, Felix Wilhelm Siebert +2

Today, many cities seek to transition to more sustainable transportation systems. Cycling is critical in this transition for shorter trips, including first-and-last-mile links to t…

cs.GT2020★ 20 cited

Managing network congestion with a tradable credit scheme: a trip-based MFD approach

Renming Liu, Siyu Chen, Yu Jiang +3

This study investigates the efficiency and effectiveness of an area-based tradable credit scheme (TCS) using the trip-based Macroscopic Fundamental Diagram model for the morning co…

stat.ML2020★ 4 cited

QTIP: Quick simulation-based adaptation of Traffic model per Incident Parameters

Inon Peled, Raghuveer Kamalakar, Carlos Lima Azevedo +1

Current data-driven traffic prediction models are usually trained with large datasets, e.g. several months of speeds and flows. Such models provide very good fit for ordinary road…

cs.CY2019

A blockchain-based user-centric emission monitoring and trading system for multi-modal mobility

Johannes Eckert, David López, Carlos Lima Azevedo +1

Since the transport sector accounts for one of the highest shares of greenhouse gases (GHG) emissions, several existing proposals state the idea to control the by the transportatio…

stat.ML2019

Towards Robust Deep Reinforcement Learning for Traffic Signal Control: Demand Surges, Incidents and Sensor Failures

Filipe Rodrigues, Carlos Lima Azevedo

Reinforcement learning (RL) constitutes a promising solution for alleviating the problem of traffic congestion. In particular, deep RL algorithms have been shown to produce adaptiv…

stat.AP2018★ 70 cited

Road safety of passing maneuvers: a bivariate extreme value theory approach under non-stationary conditions

Joana Cavadas, Carlos Lima Azevedo, Haneen Farah +1

Observed accidents have been the main resource for road safety analysis over the past decades. Although such reliance seems quite straightforward, the rare nature of these events h…

cs.CE2018★ 3 cited

Probabilistic Safety Analysis using Traffic Microscopic Simulation

Carlos Lima Azevedo, João L. Cardoso, Moshe E. Ben-Akiva

Traffic microscopic simulation applications are a common tool in road transportation analysis and several attempts to perform road safety assessments have recently been carried out…