Vehicular Crowdsourcing for Congestion Support in Smart Cities

Under present-day practices, the vehicles on our roadways and city streets are mere spectators that witness traffic-related events without being able to participate in mitigation of their effect. This paper lays theoretical foundations a framework for harnessing on-board computational resources stuck urban congestion order assist transportation agencies with preventing or dissipating through large-scale signal re-timing. Our is called VACCS: Vehicular Crowdsourcing Congestion Support Smart Cities. What makes this unique we suggest such situations have potential cooperate various authorities solve problems otherwise would either take an inordinate amount time cannot be solved lack adequate municipal resources. VACCS offers direct benefits both driving public City. By developing timing plans respond current traffic conditions, overall flow will improve, carbon emissions reduced, economic impacts citizens businesses lessened. It expected drivers willing donate under-utilized computing develop improved return savings reduced fuel consumption costs. allows City dynamically conditions while simultaneously reducing investments required traditional adaptive control systems.