scholarly journals A Concept for Control and Program Based on the Semantic Space Model

Author(s):  
Xing Chen ◽  
Maimai Prayongrat ◽  
Yasushi Kiyoki

The most important mechanism of the computer is that various functions are implemented based on programs stored in it. Programs are developed by program languages implementing functions of models. One of the efficient methods to construct a model is to construct it by semantic computation models. Using semantic computation models, we can construct a model in a semantic space. In this paper, we present a mechanism to execute models presented by the semantic spaces. We have presented a mechanism to implement combinational and sequential logic computations based on the semantic space model. The combinational and sequential logic computations are the basic functions in computer systems. However, we still need a control mechanism like that in computers. In this paper, we present a control mechanism based on the semantic space model and some of execution examples. The most important contribution of this paper is that we first present a concept for control and program based on the semantic space model. In order to demonstrate the efficiency of the proposed mechanism, we performed a demonstration experiment. In the experiment, an agent is constructed for unmanned ground vehicle control with the control mechanism. A video camera is used to determine the position of the vehicle and obstacles on the road. The control signals, including “turn left,” “turn right,” “go ahead” and “stop” outputted from the agent are used to demonstrate the efficiency of the mechanism.

Author(s):  
Yao Liu ◽  
Jianmai Shi ◽  
Zhong Liu ◽  
Jincai Huang ◽  
Tianren Zhou

A novel high-voltage powerline inspection system is investigated, which consists of the cooperated ground vehicle and drone. The ground vehicle acts as a mobile platform that can launch and recycle the drone, while the drone can fly over the powerline for inspection within limited endurance. This inspection system enables the drone to inspect powerline networks in a very large area. Both vehicle’ route in the road network and drone’s routes along the powerline network have to be optimized for improving the inspection efficiency, which generates a new two-layer point-arc routing problem. Two constructive heuristics are designed based on “Cluster First, Rank Second” and “Rank First, Split Second”. Then local search strategies are developed to further improve the quality of the solution. To test the performance of the proposed algorithms, practical cases with different-scale are designed based on the road network and powerline network of Ji’an, China. Sensitivity analysis on the parameters related with the drone’s inspection speed and battery capacity is conducted. Computational results indicate that technical improvement on the inspection sensor is more important for the cooperated ground vehicle and drone system.


Transport ◽  
2020 ◽  
Vol 35 (3) ◽  
pp. 283-299
Author(s):  
Ronghan Yao ◽  
Wensong Zhang ◽  
Meng Long

Left-turn bays are often installed on the road segment between paired intersections. Such left-turn bays may reduce the approach capacities and impact on one another. Four optimization models are put forward for uncoordinated paired intersections with left-turn bays. The phase effective green times and the left-turn bay lengths are the decision variables, maximizing the intersection capacities, minimizing the intersection delays and both of them are respectively regarded as different objective functions, and minimizing the total delay for paired intersections is viewed as another objective function. The total capacity-to-delay ratio is defined to evaluate the operations of paired intersections as a whole. Using the field data, the sensitivities of the optimized outcomes to the weighting factors of the objective functions are analysed. To clarify the influences of different scenarios on traffic stream operations, seven scenarios are tested using VISSIM. The interval estimation and hypothesis testing are used to analyse the simulated data. Three concrete models are recommended to apply in practice with the procedure of model application being provided. The achievements can be applied to optimally assign the temporal-spacial resources for paired intersections when left-turn bays need to be installed and coordinated signals do not need to be considered.


2012 ◽  
Vol 162 ◽  
pp. 57-66 ◽  
Author(s):  
Marc Davis ◽  
Philippe Vaslin ◽  
Jean Christophe Fauroux ◽  
Christophe Gouinaud ◽  
Liang Ju

We present a study of the feasibility of controlling the pitch angle of a high velocity ground vehicle in ballistic phase by accelerating or decelerating its wheels. The vehicle performed several jumps, and various wheel acceleration commands were sent to it while it was airborne. Images were recorded using a high-speed video camera, and the trajectories of markers placed on the vehicle were analyzed in order to measure the relationship between the changes in angular velocities of the chassis and the wheels. It appeared that it was possible to achieve pitch righting through the modification of the angular velocities of the wheels with adequate performance, thus opening the road towards automated control of pitch, then later yaw and roll angles.


Author(s):  
Jan Celko ◽  
Matus Kovac ◽  
Kristina Huszarova

Capacity assessment of urban roads according to Slovak standard does not sufficiently take into account the influence of vehicle maneuvers on road section performance between the two intersections. This research analyzed turning relations on selected urban road intersections and the influence of right turn and left turn on major stream speed changes. For the purpose of determining the influence of the right turn on decrease in capacity, measurements were carried out at 7 uncontrolled intersections with curve radius ranging from 6 to 30m. To determine the influence of the left turn on the capacity of urban road a critical gap was evaluated, using the Raff’s, method, based on the analysis of accepted and rejected gaps in the major traffic stream, which was one of the main inputs for simulations. The findings were used to determine the influence of selected maneuvers on the road capacity, which led to a proposal for reduction coefficients based on computational analysis performed using simulations in PTV VISSIM.


2020 ◽  
Vol 8 (6) ◽  
pp. 4693-4696

Managing traffic maintaining order is the most demanding tasks in the contemporary day and age. Emergency vehicles such as an ambulance face lot of hardships when they get stuck in traffic, valuable human life is lost due to poor traffic management. In this paper a model is proposed for calculating traffic heaviness on roads using processing techniques for images with ambulance detection system and controlling model for traffic signals with the information extracted from images of vehicles on roads captured by video camera. The traffic intensity depends on the total vehicles on the road. The proposed model counts the vehicles in the lane and checks for the presence of emergency vehicles , whenever an emergency vehicle is detected that particular lane is allowed to move and the signal is turned to green.


Energies ◽  
2019 ◽  
Vol 12 (7) ◽  
pp. 1385 ◽  
Author(s):  
Yao Liu ◽  
Jianmai Shi ◽  
Zhong Liu ◽  
Jincai Huang ◽  
Tianren Zhou

A novel high-voltage powerline inspection system was investigated, which consists of the cooperated ground vehicle and drone. The ground vehicle acts as a mobile platform that can launch and recycle the drone, while the drone can fly over the powerline for inspection within limited endurance. This inspection system enables the drone to inspect powerline networks in a very large area. Both vehicle’ route in the road network and drone’s routes along the powerline network have to be optimized for improving the inspection efficiency, which generates a new Two-Layer Point-Arc Routing Problem (2L-PA-RP). Two constructive heuristics were designed based on “Cluster First, Route Second” and “Route First, Split Second”. Then, local search strategies were developed to further improve the quality of the solution. To test the performance of the proposed algorithms, different-scale practical cases were designed based on the road network and powerline network of Ji’an, China. Sensitivity analysis on the parameters related to the drone’s inspection speed and battery capacity was conducted. Computational results indicate that technical improvement on the inspection sensor is more important for the cooperated ground vehicle and drone system.


This paper describes an inexpensive distracted driver detection device built using a Raspberry PI3, a video camera, and python code. Distracted and drowsy driving are two of the leading causes of automobile accidents in the United States, and this inexpensive standalone can help prevent those deaths. live video feed of the driver’s face is read in and through the facial landmark detector within DLIB, the co-ordinates of the eyes and mouth are extracted in real time. The ratio of the distance between the eyelids in the vertical direction to the horizontal direction defined as Eye Open Ratio is used to evaluate if the eye is open or closed and a similar ratio on the mouth(Mouth Open Ratio) is used to identify if it is open or closed. By looking at the eye and mouth open ratio for several consecutive frames, it is determined with >95% accuracy whether the driver is drowsy, distracted, or yawning. If any of these behaviors are noted, the device will prompt an audible warning to encourage the driver to focus on the road. The prototype was tested under a variety of lighting conditions from dark to bright light and on different subjects with and without glasses. This test data was used to determine the threshold for when the eye or mouth is determines open or closed. Additionally, the prototype’s settings are customizable for a primary driver to further improve the accuracy. The device connects to a smart phone and sends information with the time stamp of the distracted driver incident. This device can be used to prevent distracted or drowsy driving-related deaths, and is an inexpensive attachment that can easily be fitted into a preexisting vehicle.


2011 ◽  
Vol 133 (12) ◽  
Author(s):  
Siniša Krajnović ◽  
Anders Bengtsson ◽  
Branislav Basara

This paper presents large eddy simulations (LES) of flow around a simplified vehicle model oscillating around its vertical axis. The frequency of the Strouhal number St = 0.068 and a relatively small amplitude of the oscillation are chosen to be representative for the crosswind conditions of vehicles on the road. The results were found to agree well with data from previous experimental investigations. Furthermore, the differences in LES flows between quasi-steady and dynamic flow conditions are presented and underlying flow mechanisms are explored. The cause of the phenomena of hysteresis and phase shift was found in the inertia of the flow to adjust to sudden changes in the direction of the oscillation of the body.


2013 ◽  
Vol 380-384 ◽  
pp. 1729-1733
Author(s):  
Yan Hong Zhang

In this paper, the relationship between the number of entrance and exit, and traffic flow volume. When the number of entrance and exit is equal to 4 or greater than 4, and when the weaving section length is taken into consideration, the relationship has been studied in detail. For a given traffic circle, the road conditions in, around and out of the circle have been determined. We treat these calculation results as the reference criteria and construct two models. The one is regular critical space model and the other is two-left-turn phase control model. Finally, taken by the example of Lianban Circle in Xiamen, China, the above models have been tested and their strengths and weaknesses have been analyzed.


ASHA Leader ◽  
2006 ◽  
Vol 11 (5) ◽  
pp. 14-17 ◽  
Author(s):  
Shelly S. Chabon ◽  
Ruth E. Cain

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