This paper is an enquiry into the logical, metaphysical, and physical possibility of time travel understood in the sense of the existence of closed worldlines that can be traced out by physical objects. We argue that none of the purported paradoxes rule out time travel either on grounds of logic or metaphysics. More relevantly, modern spacetime theories such as general relativity seem to permit...

This research is focused on the development of a model for estimating arterial travel time by utilizing Automatic Vehicle Location (AVL) system-equipped bus as a probe vehicle. As an initial achievement, a prototype arterial travel time estimation model, applied to the bus arrival time estimation, was developed. The methodology adopted in this phase of the travel time estimation model was the o...

The distributed nature of complex stochastic systems, such as traffic networks, can be suitably represented by multi-agent architecture. Centralised data processing and mining methods experience difficulties when data sources are geographically distributed and transmission is expensive or not feasible. It is also known from practice that most drivers rely primarily on their own experience (hist...

According to the poor adaptive ability of traditional filter algorithm in the estimation for traffic state and travel time with Kalman filter, an improved fuzzy adaptive Kalman filtering method was proposed. The new interest of observation noise was defined, and the fuzzy logic was used to adjust the importance weights of system noise and observation noise through on-line monitoring the interes...

The monitoring of a system can yield a set of measurements that can be modeled as a collection of time series. These time series are often sparse, due to missing measurements, and spatio-temporally correlated, meaning that spatially close time series exhibit temporal correlation. The analysis of such time series offers insight into the underlying system and enables prediction of system behavior...