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2 Annals of Computer Science and Information Systems

2 2019

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Solutions for planning smart hybrid public transportation system - Poznan agglomeration as a case study of satellite towns' connections

Banach Marzena, Kubiak Katarzyna, Długosz Rafał

Annals of Computer Science and Information Systems

2019

Vol. 20

67--72

A primary goal of the Internet of Things is to create smart spaces, including smart cities and intelligent transportation system (ITS). One of the ITS variants is smart hybrid public transportation system, whose efficient development requires a broad support from the side of information and communication technologies (ICT). For such a system to function optimally, vehicles that are part of it have to be able to exchange data with other road users and road infrastructure. This applies especially to autonomous vehicles, whose trajectories may be in the future controlled through the vehicle-to-infrastructure (V2I) communication network. In the paper we propose a system that can be used to optimize the boundaries of relatively small suburban zones, in which public autonomous vehicles would be allowed to operate. Vehicles of this type may offer the transport only to the nearest local railway stations, from which the travel to the central city of the agglomeration would be continued for example by train. The concept of the proposed solution is based on the Voronoi diagrams, in which particular suburban train stations are treated as local attractors. The proposed software system in one of its stages uses Google Maps engine that allows for the determination of road distances and travel times between particular towns. On the basis of such data it determines the mentioned zones. Their boundaries, as well as optimal routes in a given period of the day may be communicated to the vehicles through the V2I system. The system performance is presented for an exemplary case of Poznan city, Poland.

Positioning improving of RSU devices used in V2I communication in intelligent transportation system

Banach Marzena, Kubiak Katarzyna, Długosz Rafał

Annals of Computer Science and Information Systems

2019

Vol. 20

73--79

In this work we present solutions which aim at enhancement of the localization precision of the road side unit (RSU) devices which will participate in vehicle-to-infrastructure (V2I) communication in future autonomous driving and intelligent transportation systems (ITS). Currently used localization techniques suffer from limited accuracy which is due to various factors, including noise, delays caused by environmental conditions (e.g. temperature variation) and differences in elevation between devices communicating with each other in the road environment. In case of application of the ITS, these factors can be the source of significant discrepancies between real positions of the RSUs and their estimated values provided by the V2I system. The proposed techniques, based on various approximation techniques, as well as linear and nonlinear filters, allow to improve the localization accuracy, reducing the positioning errors by more than 90%.