Please login first
Antonio Comi   Dr.  University Educator/Researcher 
Timeline See timeline
Antonio Comi published an article in August 2018.
Top co-authors See all
Francesco P Russo

158 shared publications

University of Copenhagen

Francesco Russo

116 shared publications

ENSTA ParisTech, Université Paris-Saclay, Unité de Mathématiques Appliquées (UMA), 828 Bd. des Maréchaux, 91120 Palaiseau, France

Olga Ivanova

54 shared publications

Marketing, ICN Business School Nancy Metz Ringgold Standard Institution, Nancy, France

Miguel Jaller

30 shared publications

Rensselaer Polytechnic Institute, Troy, New York 12180

Antonino Vitetta

26 shared publications

Dipartimento di Ingegneria dell’Informazione, delle Infrastrutture e dell’Energia Sostenibile, Università Mediterranea di Reggio Calabria, Italy

Publication Record
Distribution of Articles published per year 
(1970 - 2018)
Total number of journals
published in
Publications See all
Article 0 Reads 0 Citations Smart urban freight transport: tools for planning and optimising delivery operations Antonio Comi Published: 01 August 2018
Simulation Modelling Practice and Theory, doi: 10.1016/j.simpat.2018.08.006
DOI See at publisher website
Article 2 Reads 1 Citation From the analysis of European accident data to safety assessment for planning: the role of good vehicles in urban area Francesco Russo, Antonio Comi Published: 02 February 2017
European Transport Research Review, doi: 10.1007/s12544-017-0225-0
DOI See at publisher website
Article 2 Reads 0 Citations Bus travel time variability: some experimental evidences Antonio Comi, Agostino Nuzzolo, Stefano Brinchi, Renata Verg... Published: 01 January 2017
Transportation Research Procedia, doi: 10.1016/j.trpro.2017.12.072
DOI See at publisher website
ABS Show/hide abstract
Bus travel time analysis is essential for transit operation planning. Then, this topic obtained large attention in transport engineering literature and several methods have been proposed for investigating its variability. Nowadays, the availability of large data quantities through automated monitoring allows more in-depth this phenomenon to be pointed out with new experimental evidence. The paper presents the results of some analyses carried out using automatic vehicle location (AVL) data of bus lines and automated vehicle counter (AVC) data on some corridors in the urban area of Rome where the bus services are mixed with other traffic and travel times are subject to high degrees of variability. The results show the effect of temporal dimension and similarity between travel time and traffic temporal patterns, and could open the road for the improvement of the short-term forecasting methods, too.
Article 2 Reads 1 Citation Individual utility-based path suggestions in transit trip planners Agostino Nuzzolo, Antonio Comi Published: 01 May 2016
IET Intelligent Transport Systems, doi: 10.1049/iet-its.2015.0138
DOI See at publisher website
Article 2 Reads 8 Citations Advanced Public Transport and ITS: new modelling challenges Agostino Nuzzolo, Antonio Comi Published: 21 April 2016
Transportmetrica A: Transport Science, doi: 10.1080/23249935.2016.1166158
DOI See at publisher website
Article 0 Reads 11 Citations Urban Freight Transport Planning towards Green Goals: Synthetic Environmental Evidence from Tested Results Francesco Russo, Antonio Comi Published: 19 April 2016
Sustainability, doi: 10.3390/su8040381
DOI See at publisher website
ABS Show/hide abstract
This paper reviews the ex-post assessment of city logistics measures implemented in some European cities and, in a “what if” framework, proposes an analysis of tested environmental effects which may be useful in defining city logistics scenarios to be evaluated ex ante by simulation models. The analysis is performed in relation to the goals of environmental sustainability to pursue and the main characteristics of the cities in question (i.e., population and density). The paper aims to provide a tool that could be used in an ex-ante assessment methodology to identify a priori which measures (or set of measures) could best work in a specific city with respect to the environmental sustainability goals to pursue. Future scenarios can, thus, be readily defined and subsequently assessed by simulation tools in order to verify whether they meet the planned objectives. Although all measures can produce considerable environmental effects, the study shows that the choice of their implementation should be driven by the type of pollutant to detect.