Abstract:Conventional bus services in industrial parks commonly suffer from idle transport capacity during off-peak periods and mismatches between supply and demand in last-mile connections, making it difficult to accommodate the fragmented and flexible travel needs of employees. To address these issues, an intelligent dispatching system for demand-responsive bus services tailored to small-sized and medium-sized industrial parks is developed. An integrated software-hardware collaborative service framework is established, and a mathematical dispatching model for en-route ride sharing is formulated based on two dimensions of route overlap rate and temporal matching degree. A dual-mode operation mechanism is then developed, featuring fixed-route services during peak hours and dynamic demand-responsive services during off-peak hours. An engineering demonstration is conducted in a real industrial park. The measured results show that the system can effectively increase the passenger volume per 100 vehicle-kilometres, reduce the empty-running rate of vehicles, substantially shorten the waiting time of passenger, and significantly increase the share of the metro connection to the bus in the park. The research results can effectively solve the terminal travel problems of public transport in industrial parks, providing practical engineering references for the intelligent reconstruction of public transport and refined traffic management in similar industrial parks in China.
