With Vehicular mobile communication becoming a daily requirement and an ever increasing number of services being available to passengers, it is clear that vehicular networks efficient communication systems. VANETs, one of the most significant trends in ad-hoc networking, has much to gain from improved content delivery and one of the leading contenders for mobile networks is the Information-Centric networking approach. Its peculiarities define the Vehicular Environment requires specialized solutions, tailored for highly mobile environments. The main contribution of this thesis is the introduction of a novel architecture and components. We perform extensively discuss Information-Centric Vehicular Ad-hoc Networks. Additionally, we perform an in-depth analysis of bus-based transit systems into VANETs not only as participating members but as service providers and official agents including roles and potential challenges. We perform statistical analysis and analyze world data to denote the intrinsic potential of public transit systems. From the discussions presented, we introduce a novel service-based system architecture for Information-Centric Networking named SEVeN. The proposed model is designed to enable service exchange and service management in highly competitive vehicular ad-hoc networks. The proposed SEVeN architecture includes the introduction of a novel purpose-defined naming policy and service sub-layer as well as a service prioritization policy named LBD. We also discuss the current state of ICN caching in VANET, existing issues faced by vehicular networks and potential approaches based on intermediate cache coordination that can be taken to mitigate existing shortcommings. We perform a series of simulations and analyze the efficiency of popular caching in various network configurations to denote current shortcomings. From this discussion, we propose a cache content insertion policies, UG-Cache and MG-Cache, for ICN-VANETs. In these cache policies, cache insertion decisions are made based on recommendations from content sender dependent on request frequency and cache distance. We also introduce a caching policy based on collaborative observation of locality in request frequency, designed to allow vehicles to preemptively distribute and store in a reserved portion of the cache based on the cooperative observation of requests with provider-based location correlation. All novel elements proposed by this thesis are discussed, described, evaluated within the chapters of this thesis.