0427942 20240111140847.020140519235959.9 000339037100017 10.1016/j.trc.2014.04.009 12 s. cav_un_epca*02552600968-090X441 (2014)253-264Elsevier eco-driving fuel consumption recommended speed recursive estimation quadratic optimal control dynamic programming cav_un_auth*0108105 Suzdaleva Evgenia Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. cav_un_auth*0101167 Nagy Ivan Adaptivní systémy Department of Adaptive Systems AS AS UTIA-B Department of Signal Processing Ústav teorie informace a automatizace AV ČR, v. v. i. pdf http://library.utia.cas.cz/separaty/2014/AS/suzdaleva-0427942.pdf TA01030123 GA TA ČR cav_un_auth*0271776 The paper describes application of data-based Bayesian approach to model identification and control problems in the field of fuel consumption optimization for conventional vehicles. The main contributions of the presented approach are: (i) analysis of data measured on a driven vehicle; (ii) data-based model construction, its real-time estimation and adaptation; (iii) control criterion using simultaneously setpoints for fuel consumption and speed; (iv) universal recursive Bayesian algorithms of estimation and control implemented as semi-automatic eco-driving system. Experiments with real data report reduction in fuel consumption. 2015 BC 2 RVO:67985556 http://hdl.handle.net/11104/0233598 S TRANSPORTATIONSCIENCETECHNOLOGY 1.147 2.045 Q1 82.155 86.364 Q1 Q1 2014 000339037100017 WOS pdf cav_un_epca*0255260 Transportation Research. Part C: Emerging Technologies 0968-090X 1879-2359 Roč. 44 č. 1 2014 253 264 Elsevier