Multi-objective Evolutive Multi-thread Path-Planning Algorithm Considering Real-Time Extreme Weather Events

Abstract

Public transportation systems (PTS) should not only guarantee the mobility of users in the city but also, it should guarantee users health during trips. For example, users with health problems such as: high blood pressure, migraine, fever, asthma, back pain, dizziness, among others could be affected in their health when using the system in extreme weather conditions. This paper proposes an algorithm that makes path recommendations maximizing protection to weather conditions and minimizing the total traveling time until reaching the final destination. This paper presents the execution of this algorithm for thousands of user requests running on a Quad-core Intel Xeon processor 8 GB RAM OSX 10.5.