This　research　developed　an　ecodriving　support　platform　based　on　Internet+　technology　and　aimed　at　real-time　dynamic　collection　and　feedback　optimization　of　driving　behavior.　The　system　served　government　and　enterprises　in　monitoring　and　managing　drivers＇　driving　behaviors　and　provides　practical　ecodriving　feedback　information　on　improvement　in　individual　drivers＇　driving　behavior　through　a　smartphone　app.　The　vehicle　operation　data　were　collected　by　onboard　diagnostics　and　GPS　devices　mounted　on　vehicles,　and　then　these　basic　data　were　transmitted　to　the　cloud　platform　for　storage　through　a　3G　network.　The　user　information　about　ecodriving　behaviors　was　created　and　stored　in　a　local　server.　Nine　driving　events　related　to　ecodriving　and　an　ecodriving　score　could　be　detected　and　estimated.　The　validation　test　of　50　taxicab　drivers＇　fuel　consumption　of　1　month　before　and　after　receiving　ecodriving　feedback　through　the　smartphone　app　showed　that　the　effectiveness　of　the　ecodriving　app　on　reducing　fuel　consumption　was　statistically　significant,　with　an　average　reduction　of　4.5%　and　the　highest　of　13.0%.　Furthermore,　both　the　adaptive　process　at　the　beginning　of　and　a　long-term　effect　after　a　period　of　time　were　maintained　for　ecodriving　training　through　the　smartphone　app.　In　addition,　the　relationship　between　vehicle　fuel　consumption　and　app　usage　frequency　was　found　to　be　highly　linear:　fuel　consumption　decreased　as　app　usage　increased.　The　study　results　demonstrated　a　real-time　dynamic　and　practical　approach　for　the　ecodriving　app　and　further　provided　a　research　platform　for　monitoring　and　management　of　driving　behavior　in　the　big　data　era.