In　this　study,　the　influence　of　traveler＇s　departure　time　choice　in　day-to-day　dynamic　evolution　of　traffic　flow　in　a　transportation　network　is　investigated.　Combining　historical　information　and　real-time　information,　a　dynamic　evolution　model　of　traffic　flow　with　a　study　period　divided　into　two　intervals　is　proposed　for　a　simple　two-link　network.　Then,　the　evolution　of　network　traffic　flow　is　investigated　using　numerical　experiments.　Three　types　of　information　are　considered:　(1)　only　historical　information,　(2)　only　real-time　information,　and　(3)　both　historical　and　real-time　information.　The　results　show　that　the　dynamic　evolution　of　network　traffic　flow　under　the　three　types　of　information　is　similar.　However,　the　possibility　of　chaos　occurrence　under　both　historical　and　real-time　information　is　smaller　than　that　under　two　individual　types　of　information.　When　chaos　occurs,　the　chaotic　behavior　in　traffic-flow　evolution　under　only　real-time　information　is　relatively　less　complex　than　that　under　the　other　two　types　of　information.