Highway network gradient optimization method and device based on big data

The invention discloses a highway network gradient optimization method and device based on big data, belongs to the technical field of traffic engineering modeling, and aims to solve the technical problems that the function division of a highway network layer is fuzzy; the road travel service capability is insufficient; the sustainable development capability of a highway network is weak. The method specifically comprises the following steps: collecting regional basic geographic information data, traffic transportation geographic information data, economic and social development data and traffic transportation development data; a big data technology is used for processing and analysis to obtain scale adaptability, space accessibility, fairness and connectivity of a regional road network, a road network development gradient evaluation result is formed, key factors influencing road network gradient optimization are determined, an optimization algorithm is used on the basis, road network layout is optimized accor