Railroads have large investments in capital items such as track, trains and terminals. Optimizing the use of their resources has the potential of enormous ...

Railroads have large investments in capital items such as track, trains, and terminals. Optimizing the use of their resources has the potential of enormous ...

Railroads have large investments in capital items such as track, trains, and terminals. Optimizing the use of their resources has the potential of enormous ...

A large-scale simulation involving approximately 1000 miles of track and 700 trains was conducted to produce an estimate of potential improvement. 1 RAIL ...

Jul 13, 2022 · This algorithm can effectively optimize the route planning of urban rail transit network. This verifies the effectiveness of the route planning ...

Mar 31, 2022 · Delays happen inevitably during railway operation. In a busy network even delays of a few seconds can spiral out of proportion and cause ...

Nov 30, 2022 · In this paper, we propose a hybrid prediction model based on deep forest (DF) ensemble learning to analyze the two common rail traffic control actions.

Feb 25, 2019 · Urban rail transit is regarded as an efficient means of reducing traffic congestion and private vehicle usage [3, 4]. There are many factors ...

This paper presents a micro-simulation framework combining the multi-state supernetwork (MSN) approach and a mobility-related emission module

Missing: movement | Show results with:movement