Transit Operation Optimization in the Context of Connected and Automated Vehicles: A Case Study of Beijing

CICTP 2019 ◽  
2019 ◽  
Author(s):  
Xuanliang Shen ◽  
Xiaolei Ma ◽  
Zhao Zhang ◽  
Yuelong Su ◽  
Zhenning Dong
Keyword(s):  
Automated Vehicles ◽  
Operation Optimization ◽  
Transit Operation

scholarly journals Performance analysis of a reservoir in arid region Case study: Babar reservoir, Aurès region, Algeria

2018 ◽  
Vol 39 (1) ◽  
pp. 141-146 ◽  
Author(s):  
Fatima Z. Tebbi ◽  
Hadda Dridi ◽  
Mahdi Kalla
Keyword(s):  
Reservoir Operation ◽  
Arid Region ◽  
R Package ◽  
Performance Criteria ◽  
Stochastic Dynamic ◽  
Operation Optimization ◽  
Rule Curves ◽  
Demand Scenario

AbstractLong term and mid-term reservoir operation involves derivation of rule curves for optimal management of the available resource. The present work deals with reservoir operation in the Aurès arid region. As an example, Babar reservoir is selected to apply the proposed approach which estimates all the water balance terms, especially those which are random as water inflows. For each demand scenario a reservoir operation optimization model using Explicit Stochastic Dynamic Programming (ESDP) is performed, to derive optimal rule curves based on historical operating records (Jan 2002–Dec 2013) and using “Reservoir” R package®. Subsequently, risk analysis is conducted for these different demand scenarios rules by the RRV (reliability, resilience, vulnerability) metrics. Results show the advantage of using the “Reservoir” R package for a rapid and an easy analysis of the performance criteria jointly with the optimization algorithm to Re-operate Reservoir operation.

scholarly journals Developing an Analytical Model and Computing Tool for Optimizing Lapping Operations of Flat Objects Made of Alloyed Steels

Materials ◽  
2020 ◽  
Vol 13 (6) ◽  
pp. 1343 ◽  
Author(s):  
Tudor Deaconescu ◽  
Andrea Deaconescu
Keyword(s):  
Mathematical Model ◽  
Surface Roughness ◽  
Material Properties ◽  
Depth Of Cut ◽  
Operation Optimization ◽  
Abrasive Grains ◽  
Finishing Process ◽  
Real World Applications ◽  
The Mathematical Model

Lapping is a finishing process where loose abrasive grains contained in a slurry are pressed against a workpiece to reduce its surface roughness. To perform a lapping operation, the user needs to set the values of the respective lapping conditions (e.g., pressure, depth of cut, the rotational speed of the pressing lap plate, and alike) based on some material properties of the workpiece, abrasive grains, and slurry, as well as on the desired surface roughness. Therefore, a mathematical model is needed that establishes the relationships among the abovementioned parameters. The mathematical model can be used to develop a lapping operation optimization system, as well. To this date, such a model and system are not available mainly because the relationships among lapping conditions, material properties of abrasive grains and slurry, and surface roughness are difficult to establish. This study solves this problem. It presents a mathematical model establishing the required relationships. It also presents a system developed based on the mathematical model. In addition, the efficacy of the system is also shown using a case study. This study thus helps systematize lapping operations in regard to real-world applications.

scholarly journals A Case Study of Operation Optimization on A Renewable Energy Building by E-CPS Method: From Both Sides of Supply and Demand

2019 ◽  
Vol 158 ◽  
pp. 6145-6151 ◽  
Author(s):  
Shengyuan Zhong ◽  
Shuai Deng ◽  
Jun Zhao ◽  
Yongzhen Wang ◽  
Pengwei Su
Keyword(s):  
Renewable Energy ◽  
Supply And Demand ◽  
Operation Optimization

Study Behaviour of Passengers on Transit Operation

2011 ◽  
Vol 97-98 ◽  
pp. 1154-1157 ◽  
Author(s):  
Mohammad Hesam Hafezi ◽  
Amiruddin Ismail
Keyword(s):  
Waiting Time ◽  
Public Transportation ◽  
Traffic Congestion ◽  
Operation Time ◽  
Arrival Rate ◽  
Fleet Size ◽  
Transit Operation ◽  
Demand Patterns ◽  
Study Behaviour

Nowadays, delays problem are important issue in preparing schedule for public transportation. It is related to behaviour of passengers, behaviour of transportation means and interaction with traffic. Behaviour of passengers are including: demand patterns of passengers, fare payment and waiting time in station and in-vehicle. Behaviour of transportation means included fleet size and frequency of operation. The most interaction between public transportation and others traffic is in traffic congestion. In this paper, we studies different behaviour of passengers duration operation time in two points: in-station and in-vehicle. They are including: arrival rate of passengers, kinds of fare payment and waiting time. For illustrate behaviour of passengers on delays problem we survey they affects in bus operation. Hence, a case study based on an actual public bus operation in Tehran, Iran is used to demonstrate it.

scholarly journals Cost minimization and operation optimization model for strategic waste management decision plans: A case study

2021 ◽  
Vol 15 (2) ◽  
pp. 98-108
Author(s):  
U. Babalola Faith ◽  
O. Adelopo AbdulGaniyu ◽  
M. Aiyepola Boluwatito ◽  
T. Nubi Afolasade
Keyword(s):  
Waste Management ◽  
Optimization Model ◽  
Cost Minimization ◽  
Management Decision ◽  
Operation Optimization

scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

scholarly journals Digital Twin Simulation of Connected and Automated Vehicles with the Unity Game Engine

2021 ◽  
Author(s):  
Ziran Wang
Keyword(s):  
Cloud Computing ◽  
Adaptive Cruise Control ◽  
Physical World ◽  
Game Engine ◽  
Cruise Control ◽  
Automated Vehicles ◽  
Digital Twin ◽  
Digital World ◽  
Real Entity

A Digital Twin is defined as a digital replica of a real entity in the physical world. In this study, the Digital Twin simulation is developed for connected and automated vehicles (CAVs) by leveraging the Unity game engine. A Digital Twin simulation architecture is proposed, which contains the physical world and the digital world. Particularly, the digital world consists of three layers, where the Unity game objects are built to simulate the "hardware", the Unity scripting API are used to simulate the "software", and external tools (e.g., SUMO, MATLAB, python, and/or AWS) are leveraged to enhance the simulation functionalities. A case study of personazlied adaptive cruise control (P-ACC) is conducted to showcase the effectiveness of the proposed Digital Twin simulation, where the ACC system can be designed to satisfy each driver's preference with the help of cloud computing.

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