Vincenzo Manzoni

My personal web page


Driving-style estimation via Intertial Measurements (2009-2010)

mOve control team, Politecnico di Milano (Milan, Italy) and Teleparking Srl (Milan, Italy)

A massive usage of public transport systems gives a big contribution in term of pollution reduction thanks to the smaller ratio of fuel per passenger per kilometer compared to the private mobility. Bus is an example of public transport mean widely used in urban mobility. It is characterized by a big mass and, in the urban area, its average speed is usually low. In these conditions, the aerodynamic power is almost an order of magnitude less than the inertial power.
So, how the driver accelerate and brake – the so-called driving style – has a direct impact on the fuel consumption, which corresponds to the emissions of CO2 and NOx. However, it affects the safety and the comfort of the passengers. A method for the quantification of the driver-style economy and safety via the measurements of the longitudinal speed and the longitudinal and lateral acceleration has been developed.


  • S. M. Savaresi, V. Manzoni, A. Corti, P. De Luca. Estimation of the Driver-Style Economy and Safety via Inertial Measurements. Advanced Microsystems for Automotive Applications 2010, pp. 121-129. Springer, 2010. ISBN 978-3-642-12647-5.
  • S. M. Savaresi, V. Manzoni, A. Corti. Sistema e metodo di stima dello stile di guida di un autoveicolo. Filed in Italian Patent Office on February 2, 2010, official file no. MI 2010 A000261.
  • V. Manzoni, A. Corti, P. De Luca, S. M. Savaresi. Driving Style Estimation via Inertial Measurements. 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. Madeira Island, Portugal, September 2010, pp. 777-782.

Transportation mode identifcation and real-time CO2 emission estimation using smartphones (2010)

SENSEable City Lab, MIT (Cambridge, MA, USA) and SNCF (Paris, France)

In a context where one third of global CO2 emissions are generated by transportation, assessing an individual’s personal contribution to the emissions of a city becomes highly valuable. Prior eff orts in this direction have resulted in web-based CO2 emissions calculators, smartphone-based applications, and wearable sensors that detect a user’s transportation modes. Yet, high energy consumption and ad-hoc sensors have limited the potential adoption of these methodologies
We developed a method which estimates in real-time the CO2 emissions using inertial information gathered from mobile phone sensors. Then, user’s transportation mode is classified using a data mining technique based on Decision Trees. Integration of GPS readings and Google Maps queries allow to accurately compute the distance travelled with a small impact on the battery life. A working application for Google Android platform demonstrates the approach.

Project web page:

Smartphone-based environment sensing and electric bicycle control for Copenhagen Wheel (2010)

SENSEable City Lab, MIT (Cambridge, MA, USA)

Copenhagen Wheel is a project from SENSEable City Lab. It turns a regular bicycle into an electric bicycle with energy regeneration and real-time environmental sensing capabilities. The wheel harvests the energy the user inputs while braking and cycling and stores it for when he/she needs a boost. At the same time, sensors in the wheel are collecting information about air and noise pollution, congestion and road conditions.
The mobile application for Google Android platform has been developed. The application allows the user to interact with the bike, changing gears or selecting the level of motor assistance. In the same time, the application senses and gathers information about the surroundings, such as values of carbon dioxide, noise, temperature and humidity through a wireless sensor. The data are than collected locally and let available for the user, both locally and through a web interface.

Project web page:

Smartphone Based Vehicle-to-Driver/Infrastructure Interaction System for Motorcycles (2008-2010)

mOve control team, Politecnico di Milano (Milan, Italy) and MV Agusta Motor Spa (Varese, Italy)

In the last decade the research interest in two wheels vehicles has been driven by two peculiar features: on one hand motorcycles are means for personal mobility with a low environmental impact. On the other hand they are responsible of about the 20% of road incidents. One of the possible solutions to ensure a better safety in a motorcycle is to increase the informative interaction between the vehicle and the driver. The problem of audio and video vehicle-to-driver interaction and remote maintenance have been tackled by several works, mainly focused on automobiles.
The problems in motorcycles are less explored, although the interaction behavior between the vehicle and the driver is extremely different. The object of this work is to study a system capable of implementing a bidirectional audio interaction with the driver and to provide a remote monitoring of the vehicle parameters. Both the audio and remote connection are based on a smart-phone connected wireless to the vehicle control unit by the means of a dedicated embedded electronic.


  • C. Spelta, V. Manzoni, A. Corti, A. Goggi, Sergio M. Savaresi. Smartphone based vehicle-to-driver/environment interaction system for motorcycles. IEEE Embedded Systems Letters, Vol. 2, n. 2, pp. 39-42.
  • V. Manzoni, A. Corti, C. Spelta, S. M. Savaresi. A Driver-to-Infrastructure Interaction System for Motorcycles based on Smartphone. 13th International IEEE Conference on Intelligent Transportation Systems, ITSC 2010. Madeira Island, Portugal, September 2010, pp. 1442-1447.

Implementation of the SAFESPOT architecture on a Powered Two-Wheeler vehicle (2008-2010)

mOve control team, Politecnico di Milano (Milan, Italy) and Piaggio & C. Spa (Pontedera, Italy)

The Safespot Integrate Project is a European co-founded project which aims to improve the awareness of the vehicle’s surrounding situation through a concurrent and synergic behavior between vehicle and infrastructure. The Safespot platform is composed by many sub-systems, among which the most important are the communication, the positioning and the scenario analysis. The communication is based on the standard IEEE 802.11p, designed for the requirements of Intelligent Transportation Systems.
The positioning relies on GPS with differential correction. Finally, the scenario analysis is based on the data stored in a dynamic representation of the environment called Local Dynamic Map. The research focuses on the implementation of the Safespot hardware architecture on a Powered Two-Wheeler vehicle (the Piaggio MP3), on the development of applications for the scenario analysis and on the design of a human-machine interface for motorcycles. Two use cases are considered: the lane change maneuver and the safe overtaking.


  • V. Manzoni, A. Corti, A. Rossi, S. Tissino, S. M. Savaresi. GPS Offset Estimation and Correction Using Satellite Constellation Information. IEEE International Symposium on Circuits and Systems, ISCAS 2011. Rio de Janeiro, Brazil, May 2011, pp. 1097-1100.
  • G. Vivo, P. Dalmasso, E. Nordin, M. Dozza, P. Cravini, F. Codecà, V. Manzoni, J. Ibanez-Guzman, A. K. Mokaddem. V2V Applications in the SAFESPOT European Project: The OEMs Experience. 16th World Congress and Exhibition on Intelligent Transport Systems and Services, ITS 2009. Stockholm, Sweden.
  • C. Zott, S. Cosenza, P. Lytrivis, V. Manzoni, A. Belhoula. The SAFESPOT vehicular platform – environmental perception from sensors and wireless lan messages. 16th World Congress and Exhibition on Intelligent Transport Systems and Services, ITS 2009. Stockholm, Sweden.
  • V. Manzoni, F. Codecà, S.M. Savaresi, P. Cravini. The implementation of the Safespot architecture on a Powered Two-Wheeler vehicle. 12th IFAC Symposium on Control in Transportation Systems, CTS 2009. Redondo Beach, CA, USA, September 2009, pp. 450-455.

Enhancements of XACML: policy evaluation optimization and policy expressivity extension through business rules (2008)

SAP Labs France (Sophia-Antipolis, France)

Nowadays XACML (eXtensible Markup Language) is the de facto standard of access control mechanisms to federated resources provided by SOA (Service Oriented Architecture). The standard is based on the XML language; on one hand it guarantees the portability among different platform and operating systems, but on the other hand the verbosity of the language does not facilitate the development of fast policy evaluation engines.
The aim of the research was twofold. Firstly, to design an algorithm to improve the performance of the policy optimization. Secondly, to develop a software architecture to transparently extend the XACML standard in order to manage richer access control policies which comprise cardinality and periodicity constraints. Moreover, the standard lacks of a clear and simple way to express rich access control rules involving cardinality or periodicity constraints.


  • K. Li, V. ManzoniComputer-Implemented Method, Computer System, and Computer Program Product for Optimization of Evaluation of a Policy Specification. Filed in U.S Patent Office on December 29, 2009, official file no. 12/648,977.
  • K. Li, V. Manzoni. Computer-Implemented Method, Computer System, and Computer Program Product for Optimization of Evaluation of a Policy Specification. Filed in European Patent Office (EPO) on May 28, 2009, official file no. 09290396.2 – 2221.