Analysis of logistics distribution path optimization planning based on traffic network data

With the development of economy, distribution problem logistics becomes more and complex. Based on traffic network data, this study analyzed vehicle routing (VRP), designed a dynamic with time window (DVRPTW) model, solved it genetic algorithm (GA). In order to improve performance algorithm, operation was improved, output solution further optimized by hill climbing algorithm. The analysis example showed that improved GA had better in path optimization planning, total cost planning results 31.44 % less than increased 11.48 considering data. experimental show has good can significantly reduce research VRP based data is line actual situation distribution, which conducive application VRP.