Dynamic Bus Route Adjustment Based on Hot Bus Stop Pair Extraction

Abstract

The crowdedness of buses caused by limited public transportation capacity has already severely influenced the convenience and comfort of inhabitant trip. Existing measures that reducing dispatching interval and replenishing more buses can soothe this case while aggravate traffic jam. To address the issue of inconvenient public transit characterized by packed buses, we propose a data-driven route adjustment framework, called Dynamic Bus Line Adjustment System, to recommend new operating route for the existing bus line by building direct route between extracted hot bus stop pair. DBLAS mainly involves extracting hot bus stop pair based on passenger volume estimation, and planning optimal route between hot bus stop pair using taxi traces. Finally, we develop a demo system to demonstrate the effectiveness of DBLAS.