Project Description


Title: “Optimization system of urban driving cycles. Application to generation of adapted patterns to environmental requirements and exploitation
situation of vehicle fleet.” 


Duration: 01/2016 – 12/2018

Budget: 108.900 €


Air pollution in urban environments is an increasing problem in many cities, particularly when climate conditions favor accumulation of pollutants, such as NOx and PM whose concentration, occasionally, rises above the maximum tolerance levels. This implies a great pressure on urban transport companies to reduce the contribution of their vehicles, applying different measures such as incentives to the use of alternative vehicles, or of low or zero emission vehicles, or imposing restrictions on the highest emission ones. As for urban bus fleets, solutions are under implementation based on a more efficient use of conventional vehicles, generally based on efficient driving cycles, with devices that help the driver to develop patterns oriented to reduce accelerations. The purpose of these systems is to reduce consumptions, which has a direct impact on CO2 emissions, but provides no control on more locally problematic pollutants, such as those mentioned above.

Under the present project, we envisage the development of an expert system capable of providing driving patterns based on multicriteria – optimized cycles, with which it will be possible to establish priorities for reduction of any of the emissions considered, or of consumption, in terms of environmental conditions, which evidently change along urban areas and climate conditions in different seasons, as well as
transport service requirements. Additionally, the development of on- board devices is considered which, by means of adequate interfaces, provide the driver with information on the conditions under which the powertrain should operate to achieve the adequate optimization goals in each case.
To achieve the goals above, a theoretical-experimental program is designed under which, from the theoretical analysis of the urban bus operation cycles, and of real -time records of emissions, consumptions, speeds and other influence factors, by using very accurate onboard devices and applying advanced statistical methodology, it will be possible to identify and classify different driving cycles, to establish multicriteria optimization goals, develop the expert system and adequate devices and validate the system both in each of its parts and as a whole.



Convocatorias 2015 Proyectos EXCELENCIA y Proyectos RETOS Dirección General de Investigación Científica y Técnica Subdirección General de Proyectos de Investigación. MINECO. TRA2015-68803-R