Short-Range Prediction of the Zone of Moving Vehicles in Arterial Networks

Abstract

In many moving object databases, future locations of vehicles in arterial networks are predicted. While most of studies apply the frequent behavior of historical trajectories or vehicles' recent kinematics as the basis of predictions, consideration of the dynamics of the intersections is mostly neglected. Signalized intersections make vehicles experience different delays, which vary from zero to some minutes based on the traffic state at intersections. In the absence of traffic signal information (red and green times of traffic signal phases, the queue lengths, approaching traffic volume, turning volumes to each intersection leg, etc.), the experienced delays in traffic signals are random variables. In this paper, we model the probability distribution function (PDF) and cumulative distribution function (CDF) of the delay for any point in the arterial networks based on a spatiotemporal model of the queue at the intersection. The probability of the presence of a vehicle in a zone is determined based on the modeled probability function of the delay. A comparison between the results of the proposed method and a well-known kinematic-based method indicates a significant improvement in the precisions of the predictions.

Natural fracture characterization and in situ stress orientation analysis using Fullbore Formation Micro Imager (FMI): a case study on the X oil field, Kurdistan Region, Iraq

“…Consequently, the identification of BOs and DIFs associated with the in-situ maximum horizontal stress and the directions of the tremendous horizontal stress have been widely accomplished using borehole image logs [7,14,15]. Due to the advancement of borehole electrical imaging technology, geoscientists now have access to valuable high-resolution data on the features and specifics of the formations that exploration wells have been able to intercept [16,17]. High-resolution borehole image logs are crucial for the interpretation of sedimentary reservoirs because they provide directional structural and sedimentary information at the millimeter scale.…”