<p>U radu su prikazani efekti teorijske i praktične obuke vozača, odnosno izvršena je analiza parametara vožnje u periodu pre obuke kao i u kratkoročnom i dugoročnom periodu nakon realizovane obuke. Na osnovu utvrđenih relacija između parametara, formiran je model za optimizaciju periodične obuke vozača. Primenom matematičke analize i statističkih testova u longitudinalnom periodu ispitivanja definisan je tačan period ponovne obuke vozača pri postizanju maksimalne dobiti za transportno preduzeće uvažavajući i proprtane troškove. Rezultati analize su pokazali da su pozitivni efekti eko-vožnje značajno izraženi u dobrim vozačkim uslovima. Loši vremenski uslovi koji uslovljavaju i loše uslove vožnje smanjuju pozitivne efekte obuke vozača sa povećanim zahtevom za bezbednijom vožnjom. Model bi mogao biti primenljiv za testiranje efekata obuke vozača u različitim transportnim kompanijma i različitim tržištima.</p> / <p>Тhis paper shows the effects of theoretical and practical eco-driving training, analysing driving parameters in the period before training, in the short-term and long-term after the training. A model was formed to optimize periodical driver training based on the established relationships between the parameters. Using the mathematical analysis and statistical tests in the longitudinal observation period, the exact period of the drivers retraining was defined in order to maximize profit for the transport company, taking into account the planned costs. The results indicate that the positive effects of eco-driving were significantly expressed in good driving conditions. With bad weather conditions that correlate with bad driving conditions, the effects of eco-driving training are suffocated with increased requirements for safer driving. The model could be applicable to test the effects of drivers training in different transportation companies and different markets.</p>

<p>U disertaciji su posmatrani projektivni postupci tipa konjugovanih gradijenata za re&scaron;avanje nelinearnih monotonih sistema velikih dimenzija. Ovi postupci kombinuju projektivnu metodu sa pravcima pretraživanja tipa konjugovanih gradijenata. Zbog osobine monotonosti sistema, projektivna metoda omogućava jednostavnu globalizaciju, a pravci pretraživanja tipa konjugovanih gradijenata zahtevaju malo<br />računarske memorije pa su pogodni za re&scaron;avanje sistema velikih dimenzija. Projektivni postupci tipa konjugovanih gradijenata ne koriste izvode niti funkciju cilja i zasnovani su samo na izračunavanju vrednosti funkcije sistema, pa su pogodni i za re&scaron;avanje neglatkih monotonih sistema. Po&scaron;to se globalna konvergencija dokazuje bez pretpostavki o regularnosti, ovi postupci se mogu koristiti i za re&scaron;avanje sistema sa singularnim re&scaron;enjima. U disertaciji su definisana tri nova tročlana pravca pretraživanja<br />tipa Flečer-Rivs i dva nova hibridna pravca tipa Hu-Stori. Formulisani su projektivni postupci sa novim pravcima pretraživanja i dokazana je njihova globalna konvergencija. Numeričke performanse postupaka testirane su na relevantnim primerima i poređene sa poznatim postupcima iz literature. Numerički rezultati potvrđuju da su novi postupci robusni, efikasni i uporedivi sa postojećim postupcima.</p> / <p>Projection based CG methods for solving large-scale nonlinear monotone systems are considered in this thesis. These methods combine hyperplane projection technique with conjugate gradient (CG) search directions. Hyperplane projection method is suitable for monotone systems, because it enables simply globalization, while CG directions are efficient for large-scale nonlinear systems, due to low memory. Projection based CG methods are funcion-value based, they don&rsquo;t use merit function and derivatives, and because of that they are also suitable for solving nonsmooth monotone systems. The global convergence of these methods are ensured without additional regularity assumptions, so they can be used for solving singular systems.Three new three-term search directions of Fletcher-Reeves type and two new hybrid search directions of Hu-Storey type are defined. PCG algorithm with five new CG type directions is proposed and its global convergence is established. Numerical performances of methods are tested on relevant examples from literature. These results point out that new projection based CG methods have good computational performances. They are efficient, robust and competitive with other methods.</p>