Modeling the Impact of Traffic Information Acquisition From Mobile Devices During the Primary Tour of the Day

2015 ◽  
Vol 19 (2) ◽  
pp. 125-133 ◽  
Author(s):  
Athena Tsirimpa
Keyword(s):  
Mobile Devices ◽  
Information Acquisition ◽  
Traffic Information ◽  
The Impact

The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area

2015 ◽  
pp. 174-191
Author(s):  
Athena Tsirimpa ◽  
Amalia Polydoropoulou
Keyword(s):  
Information Acquisition ◽  
Latent Variable ◽  
Traffic Information ◽  
Activity Scheduling ◽  
Variable Model ◽  
Travel Information ◽  
Traffic Conditions ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

The Impact of Traffic Information Acquisition on the Traffic Conditions of the Athens Greater Area

2014 ◽  
Vol 5 (2) ◽  
pp. 1-20 ◽  
Author(s):  
Athena Tsirimpa ◽  
Amalia Polydoropoulou
Keyword(s):  
Information Acquisition ◽  
Latent Variable ◽  
Traffic Information ◽  
Activity Scheduling ◽  
Variable Model ◽  
Travel Information ◽  
Traffic Conditions ◽  
Real Time Information ◽  
The Impact ◽  
Time Information

The main objective of this article is to gain fundamental understanding on the effect of real time information acquisition, on the traffic conditions of the Athens greater area. Activity scheduling is a dynamic process, where individuals often need to modify their schedule, as a result of new insights. Research so far hasn't analyzed the effect of traffic information acquisition, in activity scheduling, although several studies have been conducted to capture the factors that influence the rescheduling of activities. An integrated latent variable model has been estimated, that predicts the probability of rescheduling activities as a function of flexibility, mode choice constraints and travel information. The analysis of the results indicates that one of the biggest impacts of traffic information acquisition is reflected in the rescheduling of activities. Therefore, traffic information not only can significantly improve the travel experience of individuals but may directly affect the performance of the transportation system.

scholarly journals Information Acquisition and Its Incentives in an E-Commerce Supply Chain under the Offline Showroom Model

2021 ◽  
Vol 16 (5) ◽  
pp. 1791-1804
Author(s):  
Mengli Li ◽  
Xumei Zhang
Keyword(s):  
Supply Chain ◽  
Information Acquisition ◽  
Incentive Contracts ◽  
Demand Forecast ◽  
Competition Intensity ◽  
Demand Information ◽  
Optimal Information ◽  
Acquisition Strategy ◽  
The One ◽  
The Impact

Recently, the showroom model has developed fast for allowing consumers to evaluate a product offline and then buy it online. This paper aims at exploring the optimal information acquisition strategy and its incentive contracts in an e-commerce supply chain with two competing e-tailers and an offline showroom. Based on signaling game theory, we build a mathematical model by considering the impact of experience service and competition intensity on consumers’ demand. We find that, on the one hand, information acquisition promotes supply chain members to obtain demand information directly or indirectly, which leads to forecast revenue. On the other hand, information acquisition promotes supply chain members to distort optimal decisions, which results in signal cost. The optimal information acquisition strategy depends on the joint impact of forecast revenue, signal cost and demand forecast cost. Notably, in some conditions, the offline showroom will not acquire demand information even when its cost is equal to zero. We also design two different information acquisition incentive contracts to obtain Pareto improvement for all supply chain members.

scholarly journals Commuter Response to Traffic Information on an Incident

1998 ◽  
Vol 1621 (1) ◽  
pp. 36-42 ◽  
Author(s):  
Ronald Koo ◽  
Youngbin Yim
Keyword(s):  
San Francisco ◽  
Travel Behavior ◽  
San Francisco Bay Area ◽  
Traffic Information ◽  
Behavior Changes ◽  
Bay Area ◽  
Telephone System ◽  
Changes Over Time ◽  
The Impact ◽  
Insight Into

How traffic information is obtained and how it affects travel behavior when a major freeway is congested are presented and discussed. Immediately following a major highway incident south of San Francisco that caused congestion, a telephone survey was conducted of commuters who use the affected corridor of the highway. The behavior of commuters before and during their commute at the time of the incident was determined, including obtaining traffic information and how the information influenced changes in route, mode of travel, and departure time. The results of the survey suggest that traveler behavior is largely unaffected by individual incidents of congestion. Furthermore, although a fair proportion of commuters do obtain traffic information, they do not often modify their travel behavior in response. This study is one of several that collectively will provide insight into how travel behavior changes over time and allow the authors to assess the impact of TravInfo Traveler Advisory Telephone System in the San Francisco Bay Area.

scholarly journals The Impact of Mobile Learning on EFL Students’ Learning Behaviors and Perceptions: From Content Delivery to Blended Interaction

2021 ◽  
Vol 5 (4) ◽  
pp. 25
Author(s):  
Vo Thuy Linh ◽  
Nguyen Ngoc Vu
Keyword(s):  
Mobile Devices ◽  
Mobile Learning ◽  
Mobile Technology ◽  
Teaching And Learning ◽  
Theoretical Background ◽  
Modern Technology ◽  
Rapid Expansion ◽  
Efl Students ◽  
The Impact ◽  
Learning English

Mobile learning (M - learning) emerges as the essential mark of technological revolution 4.0 and the great development of modern technology. It has proved that their smart functions were accompanied by the rapid expansion of mobile devices to support learning of learners everywhere and every time. Although mobile technology is expected to apply suitably to teaching and learning, the capacity of English as a Foreign Language (EFL) students to use mobile devices to support their English learning needs to be thoroughly evaluated. This paper is to present how EFL learners at a Vietnam University can exploit mobile technology by questionnaire through a survey of 300 EFL students. The investigation took place during the second semester of the 2018 - 2019 school year. The quantitative approach has been used to gather and analyze data, and results have shown that EFL students are confident of learning English through mobile devices through their use of mobile technology. This shows that learning English by mobile devices is feasible and has got positive perceptions from the students. Furthermore, the research results are expected to contribute as a theoretical background as reference for future researches related to mobile learning applications.

scholarly journals The new automated daily mortality surveillance system in Portugal

2010 ◽  
Vol 15 (13) ◽  
Author(s):  
P J Nogueira ◽  
A Machado ◽  
E Rodrigues ◽  
B Nunes ◽  
L Sousa ◽  
...  
Keyword(s):  
Information Acquisition ◽  
Surveillance System ◽  
Warning System ◽  
Automated System ◽  
Mortality Data ◽  
Fast Method ◽  
Daily Mortality ◽  
Public Health Action ◽  
The Impact ◽  
Mortality Surveillance

The experience reported in an earlier Eurosurveillance issue on a fast method to evaluate the impact of the 2003 heatwave on mortality in Portugal, generated a daily mortality surveillance system (VDM) that has been operating ever since jointly with the Portuguese Heat Health Watch Warning System. This work describes the VDM system and how it evolved to become an automated system operating year-round, and shows briefly its potential using mortality data from January 2006 to June 2009 collected by the system itself. The new system has important advantages such as: rapid information acquisition, completeness (the entire population is included), lightness (very little information is exchanged, date of death, age, sex, place of death registration). It allows rapid detection of impacts (within five days) and allows a quick preliminary quantification of impacts that usually took several years to be done. These characteristics make this system a powerful tool for public health action. The VDM system also represents an example of inter-institutional cooperation, bringing together organisations from two different ministries, Health and Justice, aiming at improving knowledge about the mortality in the population.

Evaluating the Impact of Highway-Railway Grade Crossings on Travel Time Reliability on a Highway Network Level

2018 ◽  
Vol 2672 (10) ◽  
pp. 1-11 ◽  
Author(s):  
Zifeng Wu ◽  
Laurence R. Rilett ◽  
Yifeng Chen
Keyword(s):  
Travel Time ◽  
Traffic Information ◽  
Area Network ◽  
Travel Time Reliability ◽  
Highway Traffic ◽  
Time Data ◽  
Highway Network ◽  
Grade Crossings ◽  
The Impact ◽  
Series Systems

Highway-rail grade crossings (HRGCs) have a range of safety and operational impacts on highway traffic networks. This paper illustrates a methodology for evaluating travel-time reliability for the routes and networks affected by trains traveling through HRGCs. A sub-area network including three HRGCs is used as the study network, and a simulation model calibrated to local traffic conditions and signal preemption strategies using field data is used as the platform to generate travel time data for analysis. Time-dependent reliability intervals for route travel time are generated based on route travel-time means and standard deviations. OD level reliability is calculated using a generic reliability engineering approach for parallel and series systems. The route travel time reliability results can be provided as real-time traffic information to assist drivers’ route-choice decisions. The OD level reliability is a way to quantify the impact of HRGCs on highway network operation. This effort fills the gap of reliability research for HRGCs on the route and sub-area network level, and contributes to improving the efficiency of decision-making for both traffic engineers and drivers.

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