The objective of Challenge 2 "Services and Intelligent Mobility Systems" is to study how new services or industrial systems likely to implement objects dedicated to the mobility of people, goods or machines should be designed, dimensioned, priced and piloted to fit into their economic, legal and societal environment. In fact, the main focus is on Computational Intelligence, which can contribute to the design and management of these services and systems. In addition, the aspects related to the Economy of Mobility or the relation of these systems to the Man or to the Company are also not ignored.

Thus, the focus here is on how some form of Computational Intelligence can be introduced in order to increase the capacity of emerging services and systems, involving innovative forms of mobility, to satisfy the needs of users all the time, maintaining an economic balance. The study of these systems should lead researchers to develop numerical models, decision algorithms, data processing modules and acquisition, communication and supervision architectures that can facilitate, for these systems:

• Performance evaluation: we are talking here about dynamic systems, whose management requires consideration of hazards. Understanding and analyzing the behavior of such systems involves the specification and implementation of discrete event simulation models, the identification of performance indicators and the construction, via statistical data processing techniques, of complex aggregates: distribution spatio-temporal requests for access to a given mobility system, failure rate, measurement of elasticities and costs;

• Sizing and planning: effectively designing and planning a system requires the development of aggregated optimization models, static or dynamic, consistent with the descriptive simulation models, which propose different organizational scenarios: route, periodicity of maintenance operations or redeployment, sizing of human and material resources, multimodal articulation, system / user dialogue protocol. The impact of this process on quality of service (QoS) and the economic viability of the system can be decisive;

• Pricing: Essentially, this involves determining, simultaneously, the user access price levels for the system, and the levels of intervention or incentives of the public actors required to make the system viable. (this last point is unavoidable in most mobility support systems, which are in a way public objects);

• Supervision and piloting: in the case of systems with a high level of reactivity, which involve vehicles or moving objects equipped with smart embedded devices, it is then necessary to specify both the architecture that allows the acquisition and transmission of information by the various components of the system that dialogue with the user, and the decision rules (allocation of resources to requests, management of disturbances, routing ...) that allow the system to react in real time to solicitations.