Current　research　on　eco-driving　has　focused　on　solving　an　optimal　control　problem　(OCP)　to　generate　a　speed　profile　to　be　tracked　by　drivers.　The　optimization　variables　are　often　chosen　as　low　level　control　actions　such　as　engine　torque　and　gear　positions,　which　leads　to　complex　mixed-integer　problems.　In　this　brief,　we　propose　an　eco-driving　assistance　system　(EDAS)　to　improve　current　EDAS　in　two　aspects.　First,　an　adviser　with　simplified　dynamical　model　is　designed　using　model　predictive　control　(MPC)　to　provide　not　only　a　speed　profile　but　also　real-time　high　level　driving　mode　advice　such　as　cruising　and　coasting.　Second,　drivers＇　reaction　delay　to　follow　the　driving　mode　advice　is　explicitly　compensated,　which　mitigates　the　effect　of　such　delay　on　fuel　savings.　The　time　delay　is　converted　to　a　spatial　parameter　in　the　MPC　to　provide　driving　advice　in　advance.　To　demonstrate　the　efficiency　and　effectiveness　of　the　proposed　EDAS,　a　numerical　study　and　a　simulation　using　measured　data　from　a　real-life　driving　test　is　conducted.　Comparisons　are　made　between　the　proposed　EDAS　and　an　eco-driving　controller　considering　both　high　and　low　level　control　inputs　without　driver＇s　reaction　delay.