Research focus on reducing the computational complexity, delay-tolerant using with partially observable Markov decision process in vehicular networks. The Vehicular Ad-Hoc Network, or VANET, is a technology that uses moves, cars as nodes in a network to create a mobile network with an aim of providing efficient and safe transportation. Connected vehicles and RSUs with embedded computing, storage, and positioning devices cooperate with each other and form a connected vehicle network. Current research on connected vehicle networks focuses on delivering the data generated from or, required by the vehicle networks themselves, of which the data traffic is light; thus, the vehicle-network resource utilization efficiency is low. On the other hand, a large amount of delay-tolerant traffic in other data networks consumes significant communication resources. Introduce a new architecture to utilize efficiently the potential resource for connecting vehicles and to mitigate the congestion problem in other data networks. An optimal distributed data hopping mechanism is also proposed to enable delay-tolerant data routing over connected vehicle networks. Research formulates the next-hop decision optimization problem as a partially observable Markov decision process (POMDP) and propose a heuristic algorithm to reduce computational complexity.