**1. Introduction and motivation**

In general terms, the Intelligent Transportation Systems (ITS) have historically been introduced to increase the transportation networks performances allowing for the optimisation of several indicators which are strictly related such as travel time,

emissions, consumption and safety. The effectiveness of all ITS proposed strategies is mainly based on the idea of traffic congestion predictions and drivers'/travellers' behaviour anticipation. Indeed, all relevant policies such as driving guidance, information systems design and traffic management are based on the consistency between the decision/control variables design and the actual traffic conditions (degree of congestion and travel times estimation). ITS solutions may generally be distinguished for urban and non-urban network applications; in particular, in the case of urban networks, the traffic control is one of the most suitable solutions to be applied, especially in the case of on-line traffic management.

However, in more recent times the ITS field has been integrated with cooperative services (Cooperative ITS; C-ITS). The main contribution is on the communication between vehicle and infrastructure (V2I), able to further optimise the vehicle driving behaviour along arterials in uninterrupted flow conditions and at junctions in the case of interrupted flow situations. The chapter's main focus is on strategies able to optimise the vehicles' behaviour at junctions, indeed, in accordance with literature, one of the proposed approaches is that of the GLOSA (Green Light Optimal Speed Advisory) which provides a warning to the driver regarding the best speed to maintain while approaching the junction by avoiding stops at junctions. A further classification of the GLOSA may be defined in literature in terms of MULTI-SEGMENT GLOSA (MS-GLOSA) if the optimisation strategy is applied at several/successive junctions and in terms of SINGLE-SEGMENT GLOSA (S-GLOSA) if the optimisation is applied only to the next traffic light that the driver will encounter along his/her trajectory**.**

The chapter aims to propose the integration between the GLOSA and the Traffic control strategy. The proposed framework has been applied at real case study; the considered subnetwork is composed by successive junctions and in terms of driving control the S-GLOSA procedure has been applied and this has been combined with the traffic control method. Regarding the traffic management a hybrid approach, suitable for urban network management, has been applied combining the centralised traffic control for urban networks (interacting junctions) and the link metering. The proposed simulation environment, based on Matlab/Simulink and SUMO, is a modular platform that considers the vehicle, the driver, the infrastructure and the traffic, the driving assistance systems, and finally the communication systems for cooperative driving; all components are simultaneously simulated in a whole environment.

As already anticipated the whole framework was analysed by considering an application to simple real network (in the city centre of Naples, in the Southern of Italy) that was composed by one origin–destination pair and two alternative paths.

Three scenarios were tested: the first was only based on a traffic control procedure, the second one concerned the speed guidance optimisation and the third was focused on the combination of both sub-models.

The remainder of the paper is organised as follows: in section 2 a brief overview of the literature is proposed; the whole modelling framework and the implementation settings, the traffic control problem and the Green Light Optimal Speed Advisory (GLOSA) procedure are displayed in section 3; in section 4 is presented the numerical application whilst results and future perspectives are discussed in section 5.
