The invention discloses an
urban road evacuation lighting environment
perception improvement method based on a sensor network, and the method comprises the following steps: S1, laying a sensor network in an urban evacuation region, and collecting multi-
modal environment data; s2, transmitting the data to an environment
perception processing module, performing normalization and disturbance modeling, and generating a joint
feature vector; s3, candidate paths are extracted based on the feature vectors, and lighting parameters are initialized; s4, constructing a multi-objective optimization function with
traffic risk, density balance,
energy consumption and
response time delay as objectives; s5, adopting a
hybrid mimicry hummingbird algorithm to optimize lighting parameters, and outputting a path sorting and configuration scheme; s6, the optimization result is issued to the
lighting system, and the equipment is controlled to operate according to the parameters; s7, switching to a local mode when communication or power supply is interrupted, and calling the
energy storage device to maintain illumination; and S8, continuously updating the
sensing data, and circularly executing optimization. The method is suitable for intelligent sensing and cooperative control scenes of urban
emergency evacuation lighting.