Evaluating the Impact of Real-Time Mobility and Travel Time Reliability Information on Truck Drivers’ Routing Decisions

2018 ◽  
Vol 2672 (9) ◽  
pp. 164-172 ◽  
Author(s):  
Xiaoqiang Kong ◽  
William L. Eisele ◽  
Yunlong Zhang ◽  
Daren B. H. Cline
Keyword(s):  
Decision Making ◽  
Travel Time ◽  
Real Time ◽  
Traffic Management ◽  
Truck Drivers ◽  
Decision Making Process ◽  
Travel Time Reliability ◽  
Travel Time Prediction ◽  
Binary Logistic Regression Model ◽  
The Impact

This study represents the first research to investigate the impacts of two critical determinants—level of congestion and travel time reliability—on routing decisions with two groups of truck drivers having different levels of awareness of the real-time and the historical traffic conditions on available routes. The research analyzed 14,538 global positioning system devices recording trips on the I-495 crossing through Maryland, Virginia, and Washington, DC, and 2,166 trips in the Dallas area, to explore how truck drivers make routing decisions based on real-time travel time and reliability information by applying a binary logistic regression model. Researchers found that for truck drivers who are not familiar with the historical traffic and travel time conditions on available routes, real-time congestion information is a significant factor in their routing decision-making process, while travel time reliability is not a major consideration. For frequent truck drivers who are familiar with the historical traffic and travel time conditions on available routes, travel time reliability is a significant factor in their routing decision-making process, and traffic congestion information is not a significant factor. These results bring more accuracy to travel time prediction and provide valuable insights into traffic management and reliability performance measures. Moreover, this research provides statistical evidence proving the potential value of delivering travel time reliability information to drivers, traffic management agencies, and navigation map developers.

scholarly journals Analysis and Implementation of Process Business Integration Systems in Consultant Service Companies

2019 ◽  
Author(s):  
Yumna Puspita ◽  
M. Malik
Keyword(s):  
Decision Making ◽  
Qualitative Research ◽  
Real Time ◽  
Business Process ◽  
Business Processes ◽  
Decision Making Process ◽  
Service Companies ◽  
Business System ◽  
Effectiveness And Efficiency ◽  
The Impact

This paper discusses the Analysis and Implementation of Process Business Integration Systems at Consultant Service Companies. This study took the case of a consulting service company in Indonesia with qualitative research and the process of collecting data through observation, interviews and trials. The consulting company divides the workintheformofprojectsaccordingtothenumberofclients.Businessprocessesthat are integrated into each project are very important to support project’s implementation activities and decision making that is fast, precise, and accurate. The impact of a system that is not integrated will reduce effectiveness and efficiency in the decision making process in the business. In addition, the management must know the progress of project’s activities in real time, detailed and timely, so that the management can make decisions quickly, precisely and accurately. Therefore, optimizing the company’s business system processes needs to be considered, so that the company’s business processes becomes effective and efficient. In this study, the author will optimize the system’s procedures before obtaining a project, implementing a project and after a project is done, and then providing a recommendation regarding the preparation of systems related to the business process.

scholarly journals The Impact of Social Media Use on Consumers’ Restaurant Consumption Experiences: A Qualitative Study

2021 ◽  
Vol 13 (12) ◽  
pp. 6581
Author(s):  
Jooyoung Hwang ◽  
Anita Eves ◽  
Jason L. Stienmetz
Keyword(s):  
Decision Making ◽  
Social Media ◽  
Selection Process ◽  
Decision Making Process ◽  
Structured Interviews ◽  
High Standards ◽  
Tourism And Hospitality Industry ◽  
Tourism And Hospitality ◽  
Search For Information ◽  
The Impact

Travellers have high standards and regard restaurants as important travel attributes. In the tourism and hospitality industry, the use of developed tools (e.g., smartphones and location-based tablets) has been popularised as a way for travellers to easily search for information and to book venues. Qualitative research using semi-structured interviews based on the face-to-face approach was adopted for this study to examine how consumers’ restaurant selection processes are performed with the utilisation of social media on smartphones. Then, thematic analysis was adopted. The findings of this research show that the adoption of social media on smartphones is positively related with consumers’ gratification. More specifically, when consumers regard that process, content and social gratification are satisfied, their intention to adopt social media is fulfilled. It is suggested by this study that consumers’ restaurant decision-making process needs to be understood, as each stage of the decision-making process is not independent; all the stages of the restaurant selection process are organically connected and influence one another.

scholarly journals Real-Time Measurement of Drilling Fluid Rheological Properties: A Review

Sensors ◽  
2021 ◽  
Vol 21 (11) ◽  
pp. 3592
Author(s):  
Naipeng Liu ◽  
Di Zhang ◽  
Hui Gao ◽  
Yule Hu ◽  
Longchen Duan
Keyword(s):  
Decision Making ◽  
Rheological Properties ◽  
Real Time ◽  
Drilling Fluid ◽  
Time Measurement ◽  
Decision Making Process ◽  
Rate Of Penetration ◽  
The Real ◽  
Real Time Measurement ◽  
Fluid Properties

The accurate and frequent measurement of the drilling fluid’s rheological properties is essential for proper hydraulic management. It is also important for intelligent drilling, providing drilling fluid data to establish the optimization model of the rate of penetration. Appropriate drilling fluid properties can improve drilling efficiency and prevent accidents. However, the drilling fluid properties are mainly measured in the laboratory. This hinders the real-time optimization of drilling fluid performance and the decision-making process. If the drilling fluid’s properties cannot be detected and the decision-making process does not respond in time, the rate of penetration will slow, potentially causing accidents and serious economic losses. Therefore, it is important to measure the drilling fluid’s properties for drilling engineering in real time. This paper summarizes the real-time measurement methods for rheological properties. The main methods include the following four types: an online rotational Couette viscometer, pipe viscometer, mathematical and physical model or artificial intelligence model based on a Marsh funnel, and acoustic technology. This paper elaborates on the principle, advantages, limitations, and usage of each method. It prospects the real-time measurement of drilling fluid rheological properties and promotes the development of the real-time measurement of drilling rheological properties.

scholarly journals Road Traffic Congestion Management Based on a Search-Allocation Approach

2017 ◽  
Vol 18 (1) ◽  
pp. 25-33 ◽  
Author(s):  
Jamal Raiyn
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Traffic Congestion ◽  
Traffic Management ◽  
Road Traffic ◽  
Smart Cities ◽  
Self Regulation ◽  
Congestion Management ◽  
Shortest Route ◽  
Road Traffic Congestion

Abstract This paper introduces a new scheme for road traffic management in smart cities, aimed at reducing road traffic congestion. The scheme is based on a combination of searching, updating, and allocation techniques (SUA). An SUA approach is proposed to reduce the processing time for forecasting the conditions of all road sections in real-time, which is typically considerable and complex. It searches for the shortest route based on historical observations, then computes travel time forecasts based on vehicular location in real-time. Using updated information, which includes travel time forecasts and accident forecasts, the vehicle is allocated the appropriate section. The novelty of the SUA scheme lies in its updating of vehicles in every time to reduce traffic congestion. Furthermore, the SUA approach supports autonomy and management by self-regulation, which recommends its use in smart cities that support internet of things (IoT) technologies.

Real time bus travel time prediction using k-NN classifier

2017 ◽  
Vol 11 (7) ◽  
pp. 362-372 ◽  
Author(s):  
B. Anil Kumar ◽  
R. Jairam ◽  
Shriniwas S. Arkatkar ◽  
Lelitha Vanajakshi
Keyword(s):  
Travel Time ◽  
Real Time ◽  
Travel Time Prediction ◽  
Time Prediction ◽  
Bus Travel Time

Is Hindsight Really 20/20?: The Impact of Outcome Information on the Decision-Making Process

2018 ◽  
Vol 17 (3) ◽  
pp. 285-296 ◽  
Author(s):  
Amanda Beltrani ◽  
Amanda L. Reed ◽  
Patricia A. Zapf ◽  
Randy K. Otto
Keyword(s):  
Decision Making ◽  
Decision Making Process ◽  
Outcome Information ◽  
The Impact

scholarly journals Examining the Impact of Adverse Weather on Travel Time Reliability of Urban Corridors in Shanghai

2020 ◽  
Vol 2020 ◽  
pp. 1-11
Author(s):  
Yajie Zou ◽  
Ting Zhu ◽  
Yifan Xie ◽  
Linbo Li ◽  
Ying Chen
Keyword(s):  
Travel Time ◽  
Weather Condition ◽  
Time Of Day ◽  
Weather Data ◽  
Time Variability ◽  
Travel Time Reliability ◽  
Time Data ◽  
Adverse Weather Condition ◽  
Adverse Weather ◽  
The Impact

Travel time reliability (TTR) is widely used to evaluate transportation system performance. Adverse weather condition is an important factor for affecting TTR, which can cause traffic congestions and crashes. Considering the traffic characteristics under different traffic conditions, it is necessary to explore the impact of adverse weather on TTR under different conditions. This study conducted an empirical travel time analysis using traffic data and weather data collected on Yanan corridor in Shanghai. The travel time distributions were analysed under different roadway types, weather, and time of day. Four typical scenarios (i.e., peak hours and off-peak hours on elevated expressway, peak hours and off-peak hours on arterial road) were considered in the TTR analysis. Four measures were calculated to evaluate the impact of adverse weather on TTR. The results indicated that the lognormal distribution is preferred for describing the travel time data. Compared with off-peak hours, the impact of adverse weather is more significant for peak hours. The travel time variability, buffer time index, misery index, and frequency of congestion increased by an average of 29%, 19%, 22%, and 63%, respectively, under the adverse weather condition. The findings in this study are useful for transportation management agencies to design traffic control strategies when adverse weather occurs.

scholarly journals Nature value: the evolution of this concept

2012 ◽  
Vol 36 (1) ◽  
pp. 9-15
Author(s):  
Sabrina Soares da Silva ◽  
Ricardo Pereira Reis ◽  
Patrícia Aparecida Ferreira
Keyword(s):  
Decision Making ◽  
Natural Resources ◽  
Environmental Degradation ◽  
Economic Valuation ◽  
Human Action ◽  
Decision Making Process ◽  
Environment Management ◽  
Goods And Services ◽  
Current Scenario ◽  
The Impact

More attention has been paid to environmental matters in recent years, mainly due to the current scenario of accentuated environmental degradation. The economic valuation of nature goods can contribute to the decision-making process in environment management, generating a more comprehensive informational base. This paper aims to present, in a historic perspective, the different concepts attributed to nature goods and were related to the current predominant perspectives of nature analyses. For this purpose, this paper presents the different concepts attributed to value since the pre-classical period, when nature were viewed as inert and passive providers of goods and services, this view legitimized nature's exploration without concern over the preservation and conservation of nature. The capacity of nature to absorb the impact of human action appears to be reaching its limit, considering the irreversibility, the irreproducibility and the possibility of collapse. The appropriate method for valuing natural resources is not known, but more important than the method is to respect and incorporate the particular characteristics of the nature goods into this process. These characteristics must be valuated in order to arrive at a more consistence approach to nature value and promote sustainability.

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