Abstract: Provided is a multi-objective path planning method for an intelligent public transport system, includes: generating a shortest path network topology for connecting bus stops by analyzing a traffic network topology and bus drivable paths; dynamically and evenly allocate bus routes according to passenger waiting periods, road lengths, and the shortest path network topology, to thereby allocate different routes for different buses; and determining an optimal bus route configuration according to average passenger travel distances, passenger experience, and the bus routes. The method can minimize a passenger waiting period while ensuring a high passenger load rate, thereby improving the overall efficiency of the public transport system and the travel experience of passengers.

Abstract: A beaconless alignment approach can be used such as to facilitate establishment of an optical communication link or to enhance reliability of such an optical communication link. When laser-based free-space optical communication is used, such an approach can be referred to as an agile beaconless laser beam alignment (ABLBA) technique. Such an ABLBA technique can consume less scanning time as compared to other approaches and can be used for alignment in relation to establishing an optical communication link between stations, such as between satellites. For example, at a transmitting station, a non-optical beam can be scanned according to a first specified search pattern within an initial search field, and an optical field can be scanned according to a second specified search pattern within a refined search field, the refined search field established at least in part using an alignment identified from the scanning of the non-optical beam.