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We consider a promising application in Vehicular Cyber-Physical Systems (VCPS) called On-road Ad Delivery (OAD), where targeted advertisements are delivered via roadside APs to attract commuters to nearby shops. Different from most existing works on VANETs which only focused on a single technical area, this work on OAD involves technical elements from human factors, cyber systems and trans portation systems since a commuter’s shopping decision depends on e.g. the attractiveness of the ads, the induced detour, and traffic conditions on different routes. In this paper, we address a new optimization problem in OAD whose goal is to schedule ad messages and allocate a limited amount of AP bandwidth so as to maximize the system-wide performance in terms of total realized utilities (TRU) of the delivered ads. A number of efficient heuristics are proposed to deal with ad message scheduling and AP bandwidth allocation. Besides largescale simulations, we also present a case study in a more realistic scenario utilizing real traces collected from taxis in the ci ty of Shanghai. In addition, we use a commercial traffic simulator (PARAMICS ) to show that our proposed solutions are also useful for traffic management in terms of balancing vehicular traffic and alleviating congestion. Keywords-On-road Ad Delivery; Human-in-the-Loop; Daily Commuters; Shopping Activities; Vehicular CPS;