
Implementation of Telematics Solutions in Urban Agglomerations in the Aspect of Road Incidents
Author(s) -
Ibrahiem M. M. El Emary,
Anna Brzozowska,
Dagmara Bubel
Publication year - 2019
Publication title -
research in world economy
Language(s) - English
Resource type - Journals
eISSN - 1923-399X
pISSN - 1923-3981
DOI - 10.5430/rwe.v10n4p1
Subject(s) - telematics , transport engineering , computer science , incident management , service (business) , advanced traffic management system , urban agglomeration , traffic management , intelligent transportation system , business , telecommunications , engineering , computer security , geography , archaeology , marketing
Urban mobility is a public service provided by a road traffic management entity. The customer receives access to the road infrastructure and a service of travelling in a city by a transport means of their choice. In the case of road traffic incident management, this issue is becoming increasingly important, as every traffic management entity should deliver a product that meets road users' requirements and expectations. A characteristic element of road traffic management is incidents generated by road infrastructure users that occur at each stage of traffic management. The paper presents the results of research carried out in the aspect of use of appropriate algorithms of traffic incident management on selected national roads, supported by research and scientific discourse on aspects related to telematics systems, with particular emphasis on Intelligent Transport Systems, in order to verify the effectiveness of the implementation of telematics solutions. The issues mentioned above are extremely important in view of the need to acknowledge the expected critical infrastructure. Principles and recommendations used in the selection and implementation of ITS applications become an important element in this respect. The research was used to verify the effectiveness of event management algorithms in road traffic, with different traffic volume and meteorological conditions. Empirical findings used in research allow for the analysis of changes in traffic parameters, such as vehicle speed, traffic volume and detector occupancy, on selected national roads, at specific intervals. This has made it possible to determine the prospects for the development of traffic incident management algorithms, which constitute a set of artificial intelligence methods.