This　study　adopts　a　fuel　consumption　estimation　method　to　measure　the　consumed　fuel　quantity　of　each　vehicle　speed　interval　(i.e.,　a　cost　function)　in　accordance　with　individual　behaviors.　Furthermore,　a　mobile　app　is　designed　to　consider　the　best　responses　of　other　route　plan　apps　(e.g.,　the　shortest　route　plan　app　and　the　fast　route　plan　app)　and　plan　the　most　fuel-efficient　route　according　to　the　consumed　fuel　quantity.　The　numerical　analysis　results　show　that　the　proposed　fuel-efficient　route　plan　app　can　effectively　support　fuel-saving　for　logistics　industries.