scholarly journals The impact of real-time information on passengers’ value of bus waiting time

2018 ◽  
Vol 31 ◽  
pp. 18-34 ◽  
Author(s):  
Hui Lu ◽  
Peter Burge ◽  
Chris Heywood ◽  
Rob Sheldon ◽  
Peter Lee ◽  
...  
Keyword(s):  
Real Time ◽  
Waiting Time ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

scholarly journals The Performance of Challenges Faced by SME in Managing Real-Time Information in the Inventory Management Process

2019 ◽  
Vol 8 (12) ◽  
pp. 5614-5618
Keyword(s):  
Real Time ◽  
Inventory Management ◽  
Business Performance ◽  
Qualitative Method ◽  
Skilled Worker ◽  
Depth Interview ◽  
Real Time Information ◽  
The Impact ◽  
Time Information ◽  
Food Manufacturer

Managing real-time information is an important task for any organization regardless of the size. This is because real-time information is used as the basis for an organization to make decisions that will affect the business if the information obtained is inaccurate, slow and outdated. For SMEs, this is a great challenge as it faces capital constraints and outdated technological applications. Thus, the purpose of this study to examine the challenges faced by SMEs in managing the real-time information to their inventory management and the impact on the overall business performance. A qualitative method was adopted where the in-depth interview was using to extract the information. Based on the saturation principle, the respondent was selected specifically from the SMEs in food manufacturer based in Malacca Halal Hub area. The finding of this study has supported the previous study on the challenges and issue of real-time information facing by the SMEs. A notable finding in this research is that SMEs is employing a skilled worker to manage the absence of an information system to manage real-time information and still capable to generate a profit from the business. This study extended the previous finding and offer an opportunity for further exploration in this area.

Dynamic control strategy based on passenger choice behavior with real-time information

SIMULATION ◽  
2017 ◽  
Vol 95 (9) ◽  
pp. 809-822
Author(s):  
Wensi Wang ◽  
Zhihui Tian ◽  
Yonglei Jiang ◽  
Lan Wu ◽  
Jianqiao Gao
Keyword(s):  
Real Time ◽  
Waiting Time ◽  
Control Strategy ◽  
Choice Behavior ◽  
Dynamic Control ◽  
Holding Time ◽  
Level Model ◽  
Real Time Information ◽  
Time Information ◽  
Passenger Choice

Real-time control strategies are important methods for high-frequency transit to counteract the effects of bus bunching in passenger waiting time. This paper extends previous literature with the development of an optimization model for multiple lines in a corridor capable of executing a dynamic control strategy based on passenger choice behavior with real-time information. The bi-level model integrates “passenger perceptions,”“service selection,” and “control strategy” effectively. The upper level model is a control model with the objective of minimizing the total waiting time of passengers in the system composed of common lines to decide whether a bus arriving at the hub should be held and its holding time. The lower level model is an allocation model with the utilization of a Nested Logit model to study passenger choice behavior. In addition, a heuristic algorithm is introduced to solve the problem. The effectiveness of the model is evaluated with the data of two lines in Dalian city of China. The results show that the control strategy proposed in this paper outperforms the simple control strategy without passenger choice behavior, where the waiting time of passengers, the number of buses that need to hold, and bus holding time are all reduced.

Breathe Easy, There's an App for That: Using Information and Communication Technology to Avoid Air Pollution in Bogotá

2021 ◽  
Author(s):  
Allen Blackman ◽  
Bridget Hoffmann
Keyword(s):  
Air Pollution ◽  
Air Quality ◽  
Real Time ◽  
Avoidance Behavior ◽  
Ambient Air ◽  
Text Messages ◽  
Information And Communication ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Ambient air pollution is a leading cause of death in developing countries. In theory, using smartphone apps, text messages, and other personal information and communication technologies to disseminate real-time information about such pollution can boost avoidance behavior like wearing face masks and closing windows. Yet evidence on their effectiveness is limited. We conduct a randomized controlled trial to evaluate the impact of training university students in Bogotá, Colombia to use a newly available municipal government smartphone app that displays real-time information on air quality. The training increased participants acquisition of information about air quality, their knowledge about avoidance behavior, and their actual avoidance behavior. It also enhanced their concern about other environmental issues. These effects were moderated by participants characteristics. For example, the training was generally less effective among job holders.

scholarly journals Temporal Analysis of Influence of Resource Failures on Cyber-Physical Systems Based on Discrete Timed Petri Nets

2021 ◽  
Vol 11 (14) ◽  
pp. 6469
Author(s):  
Fu-Shiung Hsieh
Keyword(s):  
Petri Nets ◽  
Real Time ◽  
Cyber Physical Systems ◽  
Shop Floor ◽  
Real Problem ◽  
Timed Petri Nets ◽  
Physical Systems ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

Advancement of IoT and ICT provide infrastructure to manage, monitor and control Cyber-Physical Systems (CPS) through timely provision of real-time information from the shop floor. Although real-time information in CPS such as resource failures can be detected based on IoT and ICT, improper response to resource failures may cripple CPS and degrade performance. Effective operations of CPS relies on an effective scheme to evaluate the impact of resource failures, support decision making needed and take proper actions to respond to resource failures. This motivates us to develop a methodology to assess the impact of resource failures on operations of CPS and provide the decision support as needed. The goal of this study is to propose solution algorithms to analyze robustness of CPS with respect to resource failures in terms of the impact on temporal properties. Given CPS modeled by a class of discrete timed Petri nets (DTPNs), we develop theory to analyze robustness of CPS by transforming the models to residual spatial-temporal network (RSTN) models in which capacity loss due to resources is reflected. We formulate an optimization problem to determine the influence of resource failures on CPS based on RSTNs and analyze the feasibility to meet the order deadline. To study the feasibility to solve a real problem, we analyze the computational complexity of the proposed algorithms. We illustrate the proposed method by application scenarios. We conduct experiments to study efficiency and verify computational feasibility of the proposed method to solve a real problem.

scholarly journals On the impact of real-time information on field service scheduling

2012 ◽  
Vol 53 (2) ◽  
pp. 282-293 ◽  
Author(s):  
Ioannis Petrakis ◽  
Christian Hass ◽  
Martin Bichler
Keyword(s):  
Real Time ◽  
Service Scheduling ◽  
Field Service ◽  
Real Time Information ◽  
The Impact ◽  
Time Information
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