Traffic infrastructure localities with temporal restrictions for example due to reconstructions, or modernization, are important aspects influencing the traffic safety and traffic flow. On the basis of our research, we can identify main factors, which generate travel time loses, and which often cause traffic accidents in bottlenecks. First of all, it is improper late merge, speeding, tailgating, lower tolerance and consideration to other road users. Nervousness and ignorance of drivers also play an important role in generation of traffic congestions, lower level of service and resulting external economic loses. One of the tools eliminating the traffic restriction negative impacts is usage of portable telematics systems. In 2011 to 2013,project ViaZONE was in progress, which was to design an intelligent system with the aim to eliminate the mentioned risks and reduce economic losses generated by traffic congestions. Using available data and information, we have proved profitability and cost-effectiveness of dynamic systems for traffic control of work zones. Regarding traffic management, the system showed some problems due to indisciplined drivers and the system proved that speeding in these hazardous road segments is a common practice which caused accidents and congestions.

Part 2: AlgorithmsInternational audienceIntelligent Transportation Systems are highly dependent on the quality and quantity of road traffic data. The complexity of input data is often crucial for effectiveness and sufficient reliability of such systems. Recent days, the fusion of various data sources is the topic which attracts attention of several researchers. The algorithms for data fusion take benefit of the advantages and disadvantages of each technology, resulting in an optimal solution for traffic management problems. The paper is focused on finding relations between two main data sources, floating car data and ASIM traffic profile detectors. Time series of speed and other information obtained from these data sources were analysed by Granger causality with intention to use both data sources efficiently for traffic monitoring and control during traffic incidents

Cities have been driving human development for thousands of years and they remain at the heart of our economy today. Given that today more than half of the population lives in cities, it is necessary to continuously improve the services offered to transport and proceed in the deployment of ICT systems. It is necessary that the passenger is increasingly seen as a key partner and that the services offered is continuously improved. The passenger is still just a human and so his requirements are different. It is therefore essential to continue research that is aimed at determining the real demand for services and classification of different types of passengers and their requirements and to quantify them. The paper aims to present a concept of an infomobility plan. The general objective of the infomobility plan is to improve the coordination in promoting, planning and operating ICT in public transport to provide better promotion of policies that foster co-modality through the use of ICT