scholarly journals Efficiency Analysis and Improvement of an Intelligent Transportation System for the Application in Greenhouse

Electronics ◽  
2019 ◽  
Vol 8 (9) ◽  
pp. 946 ◽  
Author(s):  
Tianfan Zhang ◽  
Weiwen Zhou ◽  
Fei Meng ◽  
Zhe Li
Keyword(s):  
Energy Consumption ◽  
Motion Control ◽  
Control Method ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Visual Navigation ◽  
Operating Efficiency ◽  
Load Factor ◽  
Mechatronic Systems ◽  
Related Factors

In view of the future lack of human resources due to the aging of the population, the automatic, Intelligent Mechatronic Systems (IMSs) and Intelligent Transportation Systems (ITSs) have broad application prospects. However, complex application scenarios and limited open design resources make designing highly efficient ITS systems still a challenging task. In this paper, the optimal load factor solving solution is established. By converting the three user requirements including working distance, time and load into load-related factors, the optimal result can be obtained among system complexity, efficiency and system energy consumption. A specialized visual navigation and motion control system has been proposed to simplify the path planning, navigation and motion control processes and to be accurately calculated in advance, thereby further improving the efficiency of the ITS system. The validity of the efficiency calculation formula and navigation control method proposed in this paper is verified. Under optimal conditions, the actual working mileage is expected to be 99.7%, and the energy consumption is 83.5% of the expected value, which provides sufficient redundancy for the system. In addition, the individual ITS reaches the rated operating efficiency of 95.86%; in other words, one ITS has twice the ability of a single worker. This proves the accuracy and efficiency of the designed ITS system.

scholarly journals Energy Saving Estimation of Athens Trolleybuses Considering Regenerative Braking and Improved Control Scheme

Resources ◽  
2018 ◽  
Vol 7 (3) ◽  
pp. 43 ◽  
Author(s):  
Nena Apostolidou ◽  
Nick Papanikolaou
Keyword(s):  
Energy Consumption ◽  
Energy Saving ◽  
Control Method ◽  
Direct Torque Control ◽  
Transportation Systems ◽  
Operating Conditions ◽  
Torque Control ◽  
Normal Operation ◽  
Regenerative Braking ◽  
Total Energy Consumption

In this work, the electromechanical system of the 8000-series of Athens trolleybuses, based on data provided by OSY S.A., is analyzed. Those data were used to develop a valid model in order to estimate the total energy consumption of the vehicle under any possible operating conditions. In addition, an effort is made to estimate the energy saving potential if the wasted energy—in the form of heat—during braking or downhill courses is recovered (regenerative braking) and retrofitted during normal operation. This process requires the installation of appropriate electrical apparatus to recover and temporarily store this energy amount. Moreover, due to the fact that the main engine of the system is an asynchronous electric machine, its driving scheme is also of interest. This study assumes the current driving scheme, that is the direct vector control (DVC), and proposes an alternative control method, the direct torque control (DTC). Energy consumption/saving calculations highlight the effectiveness of incorporating regenerative braking infrastructure in trolleybuses transportation systems. Finally, a sustainable hybrid energy storage unit that supports regenerative braking is proposed.

KNOWLEDGE BASED TRAFFIC SIGNAL CONTROL MODEL FOR SIGNALIZED INTERSECTION

Transport ◽  
2012 ◽  
Vol 27 (3) ◽  
pp. 263-267 ◽  
Author(s):  
Henrikas Pranevičius ◽  
Tadas Kraujalis
Keyword(s):  
Intelligent Transportation Systems ◽  
Control Method ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Traffic Signal ◽  
Signalized Intersection ◽  
Signal Control ◽  
Traffic Signal Control ◽  
Signal Timing ◽  
Traffic Conditions

Intelligent transportation systems have received increasing attention in academy and industry. Being able to handle uncertainties and complexity, expert systems are applied in vast areas of real life including intelligent transportation systems. This paper presents a traffic signal control method based on expert knowledge for an isolated signalized intersection. The proposed method has the adaptive signal timing ability to adjust its signal timing in response to changing traffic conditions. Based on the traffic conditions, the system determines to extend or terminate the current green signal group. Using the information from its traffic detectors of isolated intersection, the proposed controller gives optimal signals to adapt the phase lengths to the traffic conditions. A comparative analysis between proposed control algorithm, fuzzy logic (FLC) and fixed-timed (pre-timed) controllers has been made in traffic flows control, with varying traffic volume levels, by using simulation software ‘Arena’. Simulation results show that the proposed traffic signal control method (EKC) has better performance over fuzzy logic and conventional pre-time controllers under light and heavy traffic conditions.

Energy-Optimal, Direct-Phase Control of Brushless Motors for Robotic Drives

2020 ◽  
Author(s):  
Amin Ghorbanpour ◽  
Hanz Richter
Keyword(s):  
Energy Consumption ◽  
Motion Control ◽  
Optimization Problem ◽  
Control Method ◽  
Bldc Motor ◽  
Brushless Motors ◽  
Energy Regeneration ◽  
Quadratic Optimization Problem ◽  
Constrained Quadratic Optimization ◽  
Ultra Capacitor

Abstract In this work, simultaneous energy regeneration and motion control for robot manipulators with brushless direct current (BLDC) motors is considered. All joints of the robot are connected to regenerative drives powered from a single ultra-capacitor. A new voltage-based control method is developed to individually command each phase of the BLDC motor. Three independent regenerative drives are interconnected in a wye configuration, and each drives a phase of the motor. The objective is to determine the control inputs for each drive to minimize energy consumption from the ultra-capacitor for a given motion task. To this end, the problem is formulated as constrained quadratic optimization problem that gives the control inputs based on the desired torque generated by a virtual controller. An experimental evaluation is performed using a pendulum actuated by a BLDC motor. It is shown that the suggested control method can accomplish the motion task and it is capable of energy regeneration. The results show a reduction of about 40% in energy consumption for the condition of the study, relative to non-regenerative case.

Sustainable Energy Management in Intelligent Transportation

2022 ◽  
Author(s):  
Ying Gao ◽  
Tong Ren ◽  
Xia Zhao ◽  
Wentao Li
Keyword(s):  
Energy Consumption ◽  
Energy Management ◽  
Data Storage ◽  
Intelligent Transportation Systems ◽  
Field Tests ◽  
Intelligent Transportation ◽  
Analysis Data ◽  
Primary Energy ◽  
Transportation Systems ◽  
Intelligent Transport System

Intelligent transportation systems (ITS) are a collection of technologies that can enhance transport networks and public transit and individual decision-making about various elements of travel. ITS technologies comprise cutting-edge wireless, electronic and automated technology intending to improve safety, efficiency and convenience in surface transit. In certain cases, reducing energy usage has proven to be an ITS advantage. In this report, the primary energy advantages of a range of ITS systems established through models, pilot projects/field tests and extensive use are examined and summarized. In worldwide driving, the Internet of Things (IoT) solutions play a vital role. A new age of communication leading to ITS will be the communication between cars via IoT. IoT is a mixture of data and data analysis data storage and processing to manage the traffic system efficiently.Energy management, which is seen as an efficient, innovative approach to highly efficient energy generation plants. It simultaneously takes care of optimizing traditional sources of the IoT based intelligent transport system, helps to automate railways, roads, airways and shipways, which improve customer experience in the process. Following an evaluation of the situation, a proposal named energy management in intelligent transportation (EMIT) improves energy efficiency and economic efficiency in transportation. It improves energy management to reduce economic and ecological waste by decreasing global transport energy consumption. The sustainable development ratio is 85.7%, accidents detection ratio is 85.3%, electric vehicle infrastructure ratio is 83.6%, intelligent vehicle parking system acceptance ratio is 82.15%, and reduction ratio of energy consumption is 91.4%.

scholarly journals On the Study of Vehicle Density in Intelligent Transportation Systems

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Julio A. Sanguesa ◽  
Fernando Naranjo ◽  
Vicente Torres-Sanz ◽  
Manuel Fogue ◽  
Piedad Garrido ◽  
...  
Keyword(s):  
Communication Networks ◽  
Intelligent Transportation Systems ◽  
Vehicular Ad Hoc Networks ◽  
Ad Hoc ◽  
Signal Transmission ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Vehicular Communications ◽  
Related Factors ◽  
On The Road

Vehicular ad hoc networks (VANETs) are wireless communication networks which support cooperative driving among vehicles on the road. The specific characteristics of VANETs favor the development of attractive and challenging services and applications which rely on message exchanging among vehicles. These communication capabilities depend directly on the existence of nearby vehicles able to exchange information. Therefore, higher vehicle densities favor the communication among vehicles. However, vehicular communications are also strongly affected by the topology of the map (i.e., wireless signal could be attenuated due to the distance between the sender and receiver, and obstacles usually block signal transmission). In this paper, we study the influence of the roadmap topology and the number of vehicles when accounting for the vehicular communications capabilities, especially in urban scenarios. Additionally, we consider the use of two parameters: the SJ Ratio (SJR) and the Total Distance (TD), as the topology-related factors that better correlate with communications performance. Finally, we propose the use of a new density metric based on the number of vehicles, the complexity of the roadmap, and its maximum capacity. Hence, researchers will be able to accurately characterize the different urban scenarios and better validate their proposals related to cooperative Intelligent Transportation Systems based on vehicular communications.

Opportunities for Progressive Deployment of Intelligent Transportation Systems/Automated Highway System Technologies in Support of Commercial Vehicle Operations

1998 ◽  
Vol 1651 (1) ◽  
pp. 107-110 ◽  
Author(s):  
Bjorn Klingenberg
Keyword(s):  
Intelligent Transportation Systems ◽  
Commercial Vehicle ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Transportation Safety ◽  
Operating Efficiency ◽  
Department Of Transportation ◽  
Great Progress ◽  
Automated Highway ◽  
Highway System

The U.S. Department of Transportation has undertaken the Intelligent Vehicle Initiative (IVI) to improve transportation safety and productivity by accelerating the progressive deployment of intelligent transportation systems/automated highway system (ITS/AHS) technologies. Commercial vehicle operations (CVO) stand a unique chance to benefit from this initiative. Truck manufacturers and the trucking industry have made great progress in raising the standards of safety and operating efficiency over the past few years, but further significant advancements can be accomplished only by increased automation of vehicle controls and operations. That opportunity is addressed.

Quality indicator of the smart city transportation and logistics system

2020 ◽  
Vol 19 (11) ◽  
pp. 2116-2135
Author(s):  
G.V. Savin
Keyword(s):  
Intelligent Transportation Systems ◽  
Smart City ◽  
Urban Areas ◽  
Human Life ◽  
Life Quality ◽  
Intelligent Transportation ◽  
Transportation Systems ◽  
Logistics System ◽  
Organization And Management

Subject. The article considers functioning and development of process flows of transportation and logistics system of a smart city. Objectives. The study identifies factors and dependencies of the quality of human life on the organization and management of stream processes. Methods. I perform a comparative analysis of previous studies, taking into account the uniquely designed results, and the econometric analysis. Results. The study builds multiple regression models that are associated with stream processes, highlights interdependent indicators of temporary traffic and pollution that affect the indicator of life quality. However, the identified congestion indicator enables to predict the time spent in traffic jams per year for all participants of stream processes. Conclusions. The introduction of modern intelligent transportation systems as a component of the transportation and logistics system of a smart city does not fully solve the problems of congestion in cities at the current rate of urbanization and motorization. A viable solution is to develop cooperative and autonomous intelligent transportation systems based on the logistics approach. This will ensure control over congestion, the reduction of which will contribute to improving the life quality of people in urban areas.

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