TL;DR: The development and application of a numerical algorithm to estimate the propagation speed of shockwaves on freeways based on vehicle trajectory data shows that all the shockwaves have similar propagation speed, which is independent of the traffic flow speed prior to congestion.
Abstract: The paper presents the development and application of a numerical algorithm to estimate the propagation speed of shockwaves on freeways based on vehicle trajectory data. The essence of the algorithm is that the shockwave propagation speed is the traveling speed of local minima of consecutive vehicle speed trajectories. The application of the algorithm on the NGSIM datasets from the I-80 and US101 freeways under congested conditions shows that all the shockwaves have similar propagation speed of about 11.4 mph (18.34 kph), which is independent of the traffic flow speed prior to congestion. The algorithm developed here is generic and can be used for shockwave analysis based on any vehicle-by-vehicle trajectories estimated from any range sensors. The findings have been applied to estimate the upper bound for time delay error in link travel time estimation from point sensor data.
TL;DR: In this article, a shift control system of a hybrid transmission for a vehicle is arranged to correct ideal motor/generator torques so as to achieve a target engine speed prior to a target driving torque when an actual engine speed becomes greater than an allowable upper-limit engine speed.
Abstract: A shift control system of a hybrid transmission for a vehicle is arranged to correct ideal motor/generator torques so as to achieve a target engine speed prior to a target driving torque when an actual engine speed becomes greater than an allowable upper-limit engine speed and to correct the ideal motor/generator torque so as to achieve the target driving torque prior to the target engine speed when the actual engine speed does not become greater than the allowable upper-limit engine speed.
TL;DR: In this article, a conveyor system including an induction subsystem for producing a desired spacing between packages as they are discharged from a single induction line is presented. But, the authors do not specify a control mechanism for determining a speed adjustment required for each speed controller to cause packages on the line to reach the discharge conveyor as close as possible to the desired time.
Abstract: A conveyor system including an induction subsystem for producing a desired spacing between packages as they are discharged from a single induction line. The induction line includes a conveyor and a speed controller for controlling the running speed of the conveyor in a manner that discharges a package as close as possible to a time necessary to provide a desired gap with a previously-discharged package. A control monitors movement of packages on the conveyor and includes a device for determining a speed adjustment required for each speed controller to cause the packages on the line to reach the discharge conveyor as close as possible to the desired time. Speed adjustments include a constant acceleration to a higher discrete speed or deceleration to a lower discrete speed from a nominal discrete speed with a return to the nominal speed prior to discharging the package. In one embodiment, the induction line is operated by two servo-controlled motors, with the speed of the downstream motor being controlled in a manner that will provide desired spacing between inducted packages and with the speed of the upstream motor being controlled in o proportion to the speed of the downstream motor. This provides an initial controllable gap between packages to reduce the range of gaps experienced by the induction control.
TL;DR: The proposed channel model provides an intuitive explanation for the previously reported spatial frequency dependence of perceived speed of coherent object motion and indicates that a prior expectation for slow speeds is added to the inference process only after the sensory information is combined and integrated.
Abstract: Object motion in natural scenes results in visual stimuli with a rich and broad spatiotemporal frequency spectrum. While the question of how the visual system detects and senses motion energies at different spatial and temporal frequencies has been fairly well studied, it is unclear how the visual system integrates this information to form coherent percepts of object motion. We applied a combination of tailored psychophysical experiments and predictive modeling to address this question with regard to perceived motion in a given direction (i.e., stimulus speed). We tested human subjects in a discrimination experiment using stimuli that selectively targeted four distinct spatiotemporally tuned channels with center frequencies consistent with a common speed. We first characterized subjects' responses to stimuli that targeted only individual channels. Based on these measurements, we then predicted subjects' psychometric functions for stimuli that targeted multiple channels simultaneously. Specifically, we compared predictions of three Bayesian observer models that either optimally integrated the information across all spatiotemporal channels, or only used information from the most reliable channel, or formed an average percept across channels. Only the model with optimal integration was successful in accounting for the data. Furthermore, the proposed channel model provides an intuitive explanation for the previously reported spatial frequency dependence of perceived speed of coherent object motion. Finally, our findings indicate that a prior expectation for slow speeds is added to the inference process only after the sensory information is combined and integrated.
TL;DR: Novel findings regarding the dual, contrast-dependent effect of high speeds help reconcile existing conflicting literature and suggest that physiologically plausible mechanisms of representation of speed in the visual cortex may need to be incorporated into Bayesian models to account for certain subtleties of human speed perception.