This　paper　studies　the　eco-driving　of　public　transit　using　the　information　of　the　traffic　signal　and　the　passengers　obtained　with　V2I　infrastructure.　An　optimal　control　is　formulated　to　minimize　the　vehicle　exhaust　emission　and　avoid　the　extra　stops　at　the　intersection.　The　numerical　algorithm　is　proposed　by　integrating　the　rolling　horizon　optimization　with　the　branch　and　bound　method.　The　optimal　driving　velocity　is　displayed　to　the　drivers　via　mobile　applications.　A　traffic　network　in　Xicheng　District,　Beijing,　is　chosen　to　investigate　the　performance　of　the　developed　eco-driving　approach.　©　2017,　Springer　Science+Business　Media　New　York.