New　technologies　present　opportunities　to　re-think　the　real-time　traffic　operation.　Trade　of　road　priority　using　schemes　such　as　auctions,　credits,　and　direct-transactions,　provides　a　novel　way　to　better　serve　heterogeneous　traffic　demands　in　the　future　connected　environment.　Implementations　of　these　schemes　come　with　a　common　phenomenon　called　the　network　effect,　meaning　that　the　value　of　the　scheme　depends　heavily　on　the　percentage　of　travelers　that　subscribe　to　this　scheme.　To　encourage　travelers　to　be　subscribers,　the　traffic　operator　needs　to　reasonably　consider　the　treatments　for　both　subscribers　and　outsiders,　and　have　the　knowledge　of　each　scheme＇s　impact　on　individuals　and　society.　Only　in　this　way　can　the　government　choose　an　appropriate　scheme　that　will　be　accepted　by　the　public.　However,　most　existing　studies　simply　assumed　a　100%　of　subscribers　and　ignored　the　travelers＇　autonomy　and　smartness　in　choice　behavior.　Such　neglect　may　easily　render　the　economic　schemes　failed　in　practice　due　to　public　resistance　or　loss　in　subscribers.　To　fill　up　this　research　gap,　this　paper　designs　treatments　to　both　subscribers　and　outsiders　for　different　schemes　in　intersection　operations.　We　investigate　travelers＇　choice　behaviors　under　different　scenarios,　and　make　comparative　analysis　about　individual　benefits,　social　benefit,　and　social　equity　between　different　schemes.　The　findings　of　this　paper　can　support　the　government＇s　decision　on　the　system　design　of　road　priority　trading.