Gaetano Fusco | Università degli Studi "La Sapienza" di Roma (original) (raw)

Papers by Gaetano Fusco

Future transportation, Jun 26, 2023

Renewable & Sustainable Energy Reviews, Sep 1, 2023

Expert Systems With Applications, Oct 1, 2023

Expert Systems With Applications, Jun 1, 2023

Iet Intelligent Transport Systems, Mar 6, 2018

Case studies on transport policy, Jun 1, 2023

In this paper, a general analysis methodology aimed at processing a large set of Floating Car Dat... more In this paper, a general analysis methodology aimed at processing a large set of Floating Car Data (FCD) – reconstructing the routes followed by the drivers and then clustering them to achieve suitable choice sets– is applied to a broad set of FCD collected in the metropolitan city of Rome over six months. Through the observation of about 10,000 trips, an analysis of Wardrop’s principle is carried out focused on the morning peak period: the results show that about 75% of the routes chosen by the users have travel times that exceed the minimum value by less than 35%, a value having the same magnitude of the average coefficient of variation of the observed link travel times, that is 24%. The possibility of modeling drivers’ route choice behavior among a set of similar routes is investigated, and different utility functional forms are defined and calibrated. The values of ρ2 obtained are low, as expected considering that the drivers mostly perceive the routes that were actually chosen as equivalent alternatives. Nevertheless, the coefficients' values are statistically significant: results confirmed that length, travel time, and traffic lights represent three attributes that affect the path choice mechanism with a probability of 95%. Finally, the users’ process to improve their choice is also investigated, and the day-to-day route and departure time choice processes are analyzed to verify the possible existence of a correlation between observed changes and possible delays experienced by the users in the days before the change: for travel time increases or reductions between 5 and 20 minutes, a correlation has been identified with the number of route changes.

Research in Transportation Economics

2019 6th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2019

One of the open challenges in transport modelling is to estimate within-day demand flows that ref... more One of the open challenges in transport modelling is to estimate within-day demand flows that reflect the complexity of individual activity-travel behaviour. While disaggregate (Activity-Based) demand models can recreate realistic daily mobility patterns at an individual level, they usually require an accurate knowledge of individual user behaviour (i.e. via travel surveys), which is not always available. As a result, practitioners often turn to aggregate demand models, that have the advantage of being less demanding in terms of data but typically under represent the demand for secondary activities.In this work, we take research on within-day demand modelling one step forward by proposing a framework that combines traditional methodologies with heterogeneous data sources in order to explicitly represent trip chaining at an aggregated level. We show that the combination of web-based crowd sensed data, network data and behavioural constraints allows to capture complex spatial and temporal correlations between demand patterns. The methodology is applied on the classical Gravity model to show how to incorporate within-day dynamics. Yet, any alternative demand model can be adopted. In our case, Generation and Attraction are used to estimate the systematic demand, that is enriched of information about individual activity patterns, and then a novel definition of impedance function based on Hagestraand ellipse theory plays a central role in spatially distributing locations of trips using geographic relationships and constraints deriving from space-time behaviour.A case study for Luxembourg City has been presented to show the potential of the methodology: the choice of using data from a different spatial context to account for the temporal dimension has been validated through comparisons with official statistics. The results of simulating a workplace relocation show the advantages of this new approach in representing demand related to secondary activities.

Il software SINTAC applica diversi metodi di regolazione del traffico (massima banda, minimo rita... more Il software SINTAC applica diversi metodi di regolazione del traffico (massima banda, minimo ritardo) ed integra diverse procedure euristiche per la regolazione delle arterie sincronizzate, tenendo conto anche della presenza di trattamento preferenziale degli autobus. Il modello di traffico utilizzato tiene conto sia della variabilità temporale della domanda, con conseguente possibilità di temporanea sovra-saturazione, sia del possibile effetto di spill-back delle code sulla capacità dei nodi a monte

Traffic Injury Prevention, 2021

Abstract Objective Given the strong relationship between road accident and traffic speed, the eva... more Abstract Objective Given the strong relationship between road accident and traffic speed, the evaluation and prediction of this latter have always been considered as a critical issue for road safety analysis and for the evaluation of road network safety improvements. Prediction models developed to date mainly focused on spot speed in a rural environment or on running speed in an urban one. Very few analyze the speed estimation in “transition” areas. The objective of this paper is to develop a generalized speed estimation model able to predict mean speed in urban, rural, and “transition” environment as a function of road layout characteristics. It is believed that the proposed estimation tool can be effectively employed by road engineers in the road safety design and retrofitting stage. Methods The basic idea of the paper is to shed some light on this issue by making use of a hybrid estimation approach able to combine the information gathered from both previously mentioned models within a generalized speed adaptation framework that reflects road user behavior. The calibration and validation of the generalized estimation model have been carried out following a collection of Floating Car Data (FCD) on several candidate sites. Results Preliminary results seem to indicate that the methodology proposed may be effective in estimating the spot speed in two-lane rural and urban arterials. Conclusions FCD data can be useful to develop more efficient estimation models to better manage the safety of urban and rural roads.

Transport Policy, 2021

Abstract The paper describes research activities of monitoring, modeling, and planning of people ... more Abstract 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 of data collection for different transport modes (walking, bicycle, car, and transit) are presented and analyzed. A specific focus is provided for the subway mass transit, where 1 m interpersonal distancing is required to prevent the risks for Covid-19 contagion together with the use of masks and gloves. A transport system model has been calibrated on the data collected during the lockdown period –when people’s behavior significantly changed because of smart-working adoption and contagion fear– and was applied to predict future mobility scenarios under different assumptions on economic activities restarting. Based on the estimations of passenger loading, a timing policy that differentiates the opening hours of the shops depending on their commercial category was implemented, and an additional bus transit service was introduced to avoid incompatible loads of the subway lines with the required interpersonal distancing.

Transportation Research Part C Emerging Technologies

Synopsis The Forum of European National Highway Research Laboratories (FEHRL) was formed in 1989 ... more Synopsis The Forum of European National Highway Research Laboratories (FEHRL) was formed in 1989 by the National Highway Research Laboratories in EU and EFTA countries. The mission of FEHRL is to promote and facilitate collaboration between its institutes and provide high quality information and advice to governments, the European Commission, the road industry and road users on technologies and policies related to roads. To promote common research activities a five-year Strategic European Road Research Programme ( ...

Sustainability, 2018

Most road accidents occur in urban areas and notably at urban intersections, where cyclists and m... more Most road accidents occur in urban areas and notably at urban intersections, where cyclists and motorcyclists are the most vulnerable. In the last few years, cycling mobility has been growing; therefore, bike infrastructures should be designed to encourage this type of mobility and reduce motorized and/or private transport. The paper presents a study to implement a new cycle path in the existing cycle and road network in Rome, Italy. The geometric design of the new path complies with Italian standards regarding the technical characteristics of bicycle paths, while the Highway Capacity Manual has been considered for the traffic analysis. In particular, a before-after approach has been adopted to examine and compare the traffic flow at more complex and congested intersections where the cycle path will pass. Trams, buses, cars, bikes and pedestrians were the traffic components considered in each analysis. The software package PTV VISSIM 8 allowed the simulations of traffic flows at tra...

2017 5th IEEE International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), 2017

The paper deals with the problem of minimizing reshuffling of containers in an inland intermodal ... more The paper deals with the problem of minimizing reshuffling of containers in an inland intermodal terminal. The problem is tackled according to a simulation-optimization approach. A simulation model computes the operational costs of containers, related to storage and pick-up operations in an inland yard. The optimization is carried out by two genetic algorithms that work in series. The introduction of the second genetic algorithm and the concept of trust region are the original contributions of the paper to the literature. The proposed optimization method has been tested on a theoretical example of realistic size. Results highlighted that the double genetic algorithm reduces the total operational costs by 7% with respect to the single genetic algorithm.