scholarly journals Networked model predictive traffic control with time varying optimization horizon: The Grenoble South Ring case study

2013 ◽  
Author(s):  
D. Bianchi ◽  
A. Ferrara ◽  
M.D. Di Benedetto
Keyword(s):  
Traffic Control ◽  
Time Varying

A Review- Risk Assessment of Runway Overrun Incursion

2021 ◽  
pp. 455-458
Author(s):  
Priyanka Peter ◽  
Prof. Vaibhav S. Umap
Keyword(s):  
Risk Assessment ◽  
Traffic Control ◽  
Air Traffic Control ◽  
Air Traffic ◽  
The Body ◽  
High Rise ◽  
Body Of Knowledge ◽  
Mechanical Faults ◽  
Runway Incursion

Aviation crashes all over the world have recently been on the high rise, stemming from negligence, mechanical faults, weather, ground control errors, pilot errors, taxing and maintenance crew errors as are probable reasons for such accidents. This case study models the probabilistic risk assessment of runway incursion data endeavored to determine the correlation in between the reported incursions that occurred at Nagpur airport between fiscal years 2005 and 2015 and the meteorological conditions, times of day, and presence of an air traffic control tower of Nagpur Airport. With runway incursions long-plaguing the safety of aviators, their passengers, and aviation refining the body of knowledge underpinning incursions coupled with ongoing prevention efforts aspire to diminish the annual incidence of incursions, increase safety, and save lives. In accordance with this mission, mining the Civil Organization (ICAO), and Federal Aviation Association (FAA) runway incursion databases and analyzing the resulting hours, and at airport with an air traffic control tower.

Early Warning Mechanism for the Surge of Passengers in Metro Systems Based on Automated Fare Collection Data: Case Study of Guangzhou, China

2019 ◽  
Vol 2673 (4) ◽  
pp. 917-929 ◽  
Author(s):  
Ning Huan ◽  
Enjian Yao ◽  
Binbin Li
Keyword(s):  
Early Warning ◽  
Traffic Control ◽  
Safety Management ◽  
Early Stage ◽  
Point Of View ◽  
Control Measures ◽  
Passenger Flow ◽  
Early Warning Mechanism ◽  
Metro Systems

Recently, surges of passengers caused by large gatherings, temporary traffic control measures, or other abnormal events have frequently occurred in metro systems. From the standpoint of the operation managers, the available information about these outside events is incomplete or delayed. Unlike regular peaks of commuting, those unforeseen surges pose great challenges to emergency organization and safety management. This study aims to assist managers in monitoring passenger flow in an intelligent manner so as to react promptly. Compared with the high cost of deploying multisensors, the widely adopted automated fare collection (AFC) system provides an economical solution for inflow monitoring from the application point of view. In this paper, a comprehensive framework for the early warning mechanism is established, including four major phases: data acquisition, preprocessing, off-line modeling, and on-line detection. For each station, passengers’ tapping-on records are gathered in real time, to be further transformed into a dynamic time series of inflow volumes. Then, a sequence decomposition model is formulated to highlight the anomaly by removing its inherent disturbances. Furthermore, a novel hybrid anomaly detection method is developed to monitor the variation of passenger flow, in which the features of inflow patterns are fully considered. The proposed method is tested by a numerical experiment, along with a real-world case study of Guangzhou metro. The results show that, for most cases, the response time for detection is within 5 min, which makes the surge phenomenon observable at an early stage and reminds managers to make interventions appropriately.

scholarly journals Destination Estimation for Bus Passengers Based on Data Fusion

2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Wusheng Liu ◽  
Qian Tan ◽  
Lisheng Liu
Keyword(s):  
Global Positioning System ◽  
Positioning System ◽  
Time Varying ◽  
Estimation Result ◽  
Bus Stop ◽  
Simulation Based ◽  
Global Positioning ◽  
Novel Method ◽  
Planning And Operation

The planning and operation of urban buses depend heavily on the time-varying origin-destination (OD) matrix for bus passengers. In most cities, however, only boarding information is recorded, while the alighting information is not available. This paper proposes a novel method to predict the destination of a single bus passenger based on bus smartcard data, metro smartcard data, and global positioning system (GPS) bus data. First, the attractiveness of each bus stop in a bus line was evaluated, considering the attractiveness of nearby metro stations. Then, the exploration and preferential return (EPR) model was employed to estimate the probability of a bus stop to be the alighting stop, i.e., the destination, of a passenger. The estimation result was obtained through a simulation based on the Monte Carlo (MC) algorithm. The effectiveness of our method was proved through a case study on the bus network in Shenzhen, China.

scholarly journals Structural analysis for dynamic model of time‐varying switch in bond graph – a case study of single phase switch converters

2017 ◽  
Vol 10 (7) ◽  
pp. 756-766
Author(s):  
Kuo‐Hsiung Tseng ◽  
Tuo‐Wen Chang ◽  
Ming‐Fu Hung ◽  
Kuan‐Wen Chen
Keyword(s):  
Structural Analysis ◽  
Dynamic Model ◽  
Single Phase ◽  
Bond Graph ◽  
Time Varying

Introducing Eco Friendly Urban Traffic Control Room

2017 ◽  
Vol 8 (2) ◽  
pp. 77-97
Author(s):  
Somasree Bhadra ◽  
Anirban Kundu ◽  
Sunirmal Khatua
Keyword(s):  
Traffic Control ◽  
Service Sector ◽  
Road Traffic ◽  
Urban Traffic ◽  
City Management ◽  
Control Room ◽  
Computing Environment ◽  
Efficient Manner ◽  
Urban Traffic Control

In this article, new services in Green Computing environment is introduced. Energy and power is saved in an efficient manner using proposed services. These services are still undefined to the researchers in most of the cases. A typical framework of hierarchical structure for typical software managed central urban traffic control room is considered as case study. Each type of services is shown with an example which is interrelated with central traffic control room scenario. The authors' aim is to produce an energy efficient and power savings method in computing environment. Urban Traffic Control Room is considered as a case study. This is because in today's world urban traffic management is one of the most burning issues of any smart city management. Use of complex yet efficient software in the urban traffic control room may aid in proper management of road traffic. Keeping in mind growing environmental concerns, efficient green system architecture needs to be in place to ensure high performance, reliability and security of such an important public service sector.

An integrated stochastic model and algorithm for multi-product newsvendor problems

2020 ◽  
Vol 11 (04) ◽  
pp. 2050027
Author(s):  
Zhaoman Wan ◽  
Saihua Zhu ◽  
Zhong Wan
Keyword(s):  
Gradient Algorithm ◽  
Selling Price ◽  
Time Varying ◽  
Limited Capacity ◽  
Threshold Values ◽  
Feasible Direction ◽  
Sensitivity Matrix ◽  
Robust Solution ◽  
Spectral Conjugate Gradient

In this paper, a multi-product newsvendor problem is formulated as a random nonlinear integrated optimization model by taking into consideration the selling price, the producing and outsourcing quantities, and the nonlinear budget constraint. Different from the existing models, the demands of products depend on the prices, as well as being time-varying due to random market fluctuation. In addition, outsourcing strategy is adopted to deal with possible shortage caused by the limited capacity. Consequently, the constructed model is involved with joint optimization of the producing and outsourcing quantities, and the selling prices of all the products. For this model with continuous random demands, we first transform it into a nonlinear programming problem by expectation method. Then, an efficient algorithm, called the feasible-direction-based spectral conjugate gradient algorithm, is developed to find a robust solution of the model. By case study and sensitivity analysis, some interesting conclusions are drawn as follows: (a) Budget is a critical constraint for optimizing the decision-making of the retailer, and there exist different threshold values of the budget for the substitute and complementarity scenarios. (b) The price sensitivity matrix seriously affects the maximal expected profit mainly through affecting the optimal outsourcing quantity.

scholarly journals A Novel Linear Time-Varying GM(1,N) Model for Forecasting Haze: A Case Study of Beijing, China

2019 ◽  
Vol 11 (14) ◽  
pp. 3832 ◽  
Author(s):  
Pingping Xiong ◽  
Jia Shi ◽  
Lingling Pei ◽  
Song Ding
Keyword(s):  
Linear Time ◽  
Dynamic Change ◽  
Time Varying ◽  
The Novel ◽  
Model Based ◽  
Number Sequences ◽  
The Government ◽  
Grey Number ◽  
Beijing China

Haze is the greatest challenge facing China’s sustainable development, and it seriously affects China’s economy, society, ecology and human health. Based on the uncertainty and suddenness of haze, this paper proposes a novel linear time-varying grey model (GM)(1,N) based on interval grey number sequences. Because the original GM(1,N) model based on interval grey number sequences has constant parameters, it neglects the dynamic change characteristics of parameters over time. Therefore, this novel linear time-varying GM(1,N) model, based on interval grey number sequences, is established on the basis of the original GM(1,N) model by introducing a linear time polynomial. To verify the validity and practicability of this model, this paper selects the data of PM10, SO2 and NO2 concentrations in Beijing, China, from 2008 to 2018, to establish a linear time-varying GM(1,3) model based on interval grey number sequences, and the prediction results are compared with the original GM(1,3) model. The result indicates that the prediction effect of the novel model is better than that of the original model. Finally, this model is applied to forecast PM10 concentration for 2019 to 2021 in Beijing, and the forecast is made to provide a reference for the government to carry out haze control.

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