Analysis and monitoring of post-COVID mobility demand in Rome resulting from the adoption of sustainable mobility measures
The paper describes research activities of monitoring, modeling, and planning of people
mobility in Rome during the Covid-19 epidemic period from March to June 2020. The results …
mobility in Rome during the Covid-19 epidemic period from March to June 2020. The results …
Occupational road safety management: a preliminary insight for a landfill remediation site
Road crashes have been internationally recognized as one of the main causes of death. On
one hand, in Europe, many governments are struggling with the ambitious target of zero …
one hand, in Europe, many governments are struggling with the ambitious target of zero …
Experimental analyses and clustering of travel choice behaviours by floating car big data in a large urban area
G Fusco, A Bracci, T Caligiuri… - IET Intelligent …, 2018 - Wiley Online Library
This study introduces a general methodology to process sparse floating car data, reconstruct
the routes followed by the drivers, and cluster them to achieve suitable choice sets of …
the routes followed by the drivers, and cluster them to achieve suitable choice sets of …
Analysis of road safety speed from floating car data
Abstract Intelligent Transportation Systems aims at improving efficiency and safety of the
transportation system by acting either on vehicle performances or assisting the driver with …
transportation system by acting either on vehicle performances or assisting the driver with …
An alternative reliability method to evaluate the regional traffic congestion from GPS data obtained from floating cars
Fast and reliable evaluation of regional traffic congestion is beneficial to more effective traffic
control. Based on data accumulation in modern society, more and more data‐driven …
control. Based on data accumulation in modern society, more and more data‐driven …
Modeling car following with feed-forward and long-short term memory neural networks
The paper investigates the capability of modeling the car following behavior by training
shallow and deep recurrent neural networks to reproduce observed driving profiles …
shallow and deep recurrent neural networks to reproduce observed driving profiles …
Mining massive taxi trajectories for rapid fastest path planning in dynamic multi-level landmark network
D Zhao, E Stefanakis - Computers, Environment and Urban Systems, 2018 - Elsevier
This paper presents a speed up algorithm for real-time path planning based on massive
trajectory data mining, which comprises three stages: preparatory work, preprocessing stage …
trajectory data mining, which comprises three stages: preparatory work, preprocessing stage …
Two-stage fuzzy traffic congestion detector
This paper presents a two-stage fuzzy-logic application based on the Mamdani inference
method to classify the observed road traffic conditions. It was tested using real data extracted …
method to classify the observed road traffic conditions. It was tested using real data extracted …
[PDF][PDF] Occupational Road Safety Management: A Preliminary Insight for a Landfill Remediation Site. Buildings 2023, 13, 1238
Road crashes have been internationally recognized as one of the main causes of death. On
one hand, in Europe, many governments are struggling with the ambitious target of zero …
one hand, in Europe, many governments are struggling with the ambitious target of zero …
Meta-heuristic aggregate calibration of transport models exploiting data collected in mobility
The wide diffusion of data collected in mobility led to an unprecedented amount of
information about people's mobility behavior. While on one hand the availability of big data …
information about people's mobility behavior. While on one hand the availability of big data …