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

282 shared publications

Novo Nordisk Foundation Center for Protein Research, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark

Olga Ivanova

132 shared publications

Department of Chemistry; M. V. Lomonosov Moscow State University; Leninskie Gory, 1-3 Moscow 119991 Russian Federation

Francesco G. Russo

115 shared publications

UCT - South Africa

Agostino Nuzzolo

48 shared publications

Department of Enterprise Engineering, University of Rome Tor Vergata, Via del Politecnico 1, 00133 Rome, Italy

Miguel Jaller

30 shared publications

Rensselaer Polytechnic Institute, Troy, New York 12180

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, Massimiliano M. Schiraldi, Berta Buttarazzi Published: 01 November 2018
Simulation Modelling Practice and Theory, doi: 10.1016/j.simpat.2018.08.006
DOI See at publisher website
Article 1 Read 0 Citations A Subjective Optimal Strategy for Transit Simulation Models Agostino Nuzzolo, Antonio Comi Published: 16 September 2018
Journal of Advanced Transportation, doi: 10.1155/2018/8797328
DOI See at publisher website ABS Show/hide abstract
A behavioural modelling framework with a dynamic travel strategy path choice approach is presented for unreliable multiservice transit networks. The modelling framework is especially suitable for dynamic run-oriented simulation models that use subjective strategy-based path choice models. After an analysis of the travel strategy approach in unreliable transit networks with the related hyperpaths, the search for the optimal strategy as a Markov decision problem solution is considered. The new modelling framework is then presented and applied to a real network. The paper concludes with an overview of the benefits of the new behavioural framework and outlines scope for further research.
Article 0 Reads 0 Citations Revealing urban goods movements: empirical evidences from some European cities Antonio Comi, Luca Persia, Andrea Campagna, Antonio Polimeni Published: 01 January 2018
Transportation Research Procedia, doi: 10.1016/j.trpro.2018.09.030
DOI See at publisher website ABS Show/hide abstract
The paper compares the characteristics of urban freight transport in some European cities, implementing a methodology which uses similar interviews with retailers and transport operators. The main objective of this study is to evaluate the similarities and differences in terms of socio-economic characteristics and commercial structures, and current distribution patterns followed by different transport and logistics operators. The study shows the flexibility of the methodology used in different applicative contexts and points out that there are some different patterns of urban distribution that need to be taken into account when implementing city logistics measures.
Article 3 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 0 Reads 2 Citations DynaLOAD: a simulation framework for planning, managing and controlling urban delivery bays Antonio Comi, Berta Buttarazzi, Massimiliano M. Schiraldi, R... Published: 01 January 2017
Transportation Research Procedia, doi: 10.1016/j.trpro.2017.03.049
DOI See at publisher website
Article 3 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.