How to efficiently transmit graph-data to mobile devices is quite appealing nowadays, especially for autonomous vehicles and positioning systems. When a mobile receiver is set out for a journey, the objective is often to reconstruct topologically-complete subgraphs according to the arrival data in real time. Hence, we dedicate a novel coding scheme to segmenting and arranging the data efficiently from a huge mesh-grid graph. When the data-rate is restricted, through our proposed partitioning and scheduling schemes, mobile receivers can greatly relax the requirement for the number of transmission times to reconstruct topologically-complete subgraphs. To evaluate our proposed techniques, we derive the expected number of transmission times required to reconstruct a subgraph theoretically. Moreover, we define the k-hop completeness to measure the probability of reconstructing a topologically-complete subgraph by any scheme. Our proposed new method greatly outperforms the conventional scheme theoretically and by simulation. Our proposed method can enable the future journey-aware dynamic mapping system on vehicles without any need of pre-stored huge map database.