Evaluation of perception of road spatial planning | Ceļa telpiskā risinājuma uztveres novērtējums

Английский. To determine impact of visual properties of the designed or the already existing road on the driver’s work environment, and, hence, on the traffic safety, it is necessary to obtain this road’s image, thereto, the sufficiently adequate one to the real observation conditions. The absolutely real image can be obtained only, when observing the already existing road; however, it is important not only to reveal deficiencies, but also not to create them. Therefore, impact of visual properties needs to be evaluated already when designing a road. For this, an algorithm is determined to analyze the road’s visual quality. Its operation is based on regularities established at this thesis. Visual quality of the road alignment is evaluated in conformity with parameters of the image curvature and their evolution nature, when the viewpoint moves along the determined trajectory. In conformity with the algorithm, the computer program is prepared, where the tested road is intended to be evaluated visually, thereto evaluating not the static but the dynamic image. Parallel to the image, graph of the line’s curvature of the tested image is shown, with the possibility to compare the line’s curvature with the value of the perception threshold, in conformity with the criterion established in RPI. Simultaneously, data are prepared to create surface of the line’s curvature function, which allows performing the detailed graphic analysis.

Латышский. Šajā projekta posmā tika sagatavots un realizēts praktiski pielietojams algoritms redzamā ceļa attēla kvalitātes pārbaudei un projekta risinājuma optimizācijai, pēc zināmām autovadītāja uztveres sliekšņu vērtībām, izmantojot projekta datus. Darba rezultāti tika interpretēti gan vizuāli gan analītiski, ļaujot spriest par optimizācijas objektivitāti. Tādejādi ir ar piemēru apstiprināts, ka ir iespējama šāda projektēšanas prakse un iespējams zināmos parametrus iekļaut projektēšanas normatīvos.