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Analyzing new on-board and driving assistance systems requires complex and costly tests. The possibility of analyzing the complexity and driver risks associated to the use of these systems from the early stages of the development is key to guarantee safety and lower development costs.

With this purpose, a cognitive model (boxes diagram that represents the thinking process of a person in certain tasks or activities) of a vehicle driver has been developed. The model includes the three different levels of decision required for properly driving: strategic, navigation and control. The model has been implemented as a Discrete Event Model and includes a model of Declarative Memory and a Model for Advanced Workload Analysis. Nowadays, a modified scenario of the Lane Change Test (LCT) has been already implemented and it is about to be validated with real users. In the coming months, the Model should will be able to drive itself the LCT in the simulation platform at Instituto de Biomecánica (IBV), emulating the behavior of real users.

  

 

 

Using Digital Human Models in automotive sector is very popular, especially for impact simulation or to determine reaches and spaces for the driver and the passengers.           
Instituto de Biomecánica (IBV) has come up with the initial approach to develope three dimensional digital human models in the driving posture in the framework of a larger project sponsored by the JARI laboratory (Japanese Automotive Research Institute) of Japan, whose objective is to carry out research into the mechanics of whiplash in women, by developing, validating, and using finite element models (FEM) of the human body.                
The main contribution of the project has been the development of a methodology to obtain complete and simplified meshes of the human body in the driving posture. It has also been developed a procedure to scan people in the driving posture using a scanner that is specifically configured for the standing posture. The methodology developed opens up a new very promising way to develop extremely lifelike virtual mannequins that represent population groups that have common morphological characteristics.

The complexity of new vehicles, which provide the driver with a high amount of information and the ability of autonomous driving at certain moments or stretches, requires new tools to assess the impact of technology on the driver in very early stages of the development. The objective of the work being developed within the framework of the DIVEO project (project in cooperation IVACE 2016) will make it possible to develop a series of virtual drivers that will be very useful in the analysis of the effect on safety and the driving mode of the new systems that are progressively being incorporated into new car models. The driver cognitive models being developed are software tools that allow for future extensions and modifications, and which enable the analysis of systems that are at an embryonic state.

The practical application of the concept of mobility as a service (MaaS), especially with regard to the transport needs of people with disabilities and elderly people in urban areas, reveals obvious limitations of the model and poses important challenges such as equal access to transport, ease of travel and barrier-free destinations, including the ability to park. As regards this point, it is essential to ensure that the spaces reserved for people with disabilities are used by those who are entitled to them. The SIMON Project tackles these challenges by offering a complete integration of technological solutions that facilitate accessible navigation, information on mobility and the access-rights management. Such solutions were tested on a large scale in the cities of Madrid, Lisbon, Parma and Reading. This opens a new model based on Inclusive Mobility as a right for all citizens.

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