Intelligent Transportation System (ITS) is the focus of many researchers due to the growing of traffic, which ensures complexity, especially in urban scenario. In this regard, Ultra-Reliable Low Latency Communication (URLLC) achievement is the main purpose for ITS. Latency represents a relevant metric for real time exchange of messages and improve the network Quality of Service (QoS). In this contribution, the purpose is delay investigation into Long Term Evolution Vehicle (LTE-V), which is an enabling cellular technology for vehicular connectivity. The idea is RB (Resource Block) allocation for delay minimization through a direct interaction enabled by LTE-V features. We start by a mathematical analysis of a cross-layer structure based on the joint association between physical layer together with a Medium Access Control (MAC) sub layer. Hence, latency minimization is transformed into an optimization problem in which data rate is maximized under the constraint of queue length. Resource allocation resolution is based on Lyapunov policy. Numerical results are obtained according to a Manhattan scenario towards an urban model where the performance criterion is Complementary Cumulative Distribution Function (CCDF) of queue length. The obtained results highlight the efficiency of the proposed resource allocation algorithm.