scholarly journals Analysis of highway performance under mixed connected and regular vehicle environment

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Zhao Zhang ◽  
Xianfeng (Terry) Yang
Keyword(s):  
Penetration Rate ◽  
Evaluation Criteria ◽  
Speed Control ◽  
Operational Performance ◽  
Connected Vehicle ◽  
Mixed Traffic ◽  
Highway Capacity ◽  
Content Type ◽  
Traffic Demand ◽  
Traffic Pattern

Purpose This study aims to study the connected vehicle (CV) impact on highway operational performance under a mixed CV and regular vehicle (RV) environment. Design/methodology/approach The authors implemented a mixed traffic flow model, along with a CV speed control model, in the simulation environment. According to the different traffic characteristics between CVs and RVs, this research first analyzed how the operation of CVs can affect highway capacity under both one-lane and multi-lane cases. A hypothesis was then made that there shall exist a critical CV penetration rate that can significantly show the benefit of CV to the overall traffic. To prove this concept, this study simulated the mixed traffic pattern under various conditions. Findings The results of this research revealed that performing optimal speed control to CVs will concurrently benefit RVs by improving highway capacity. Furthermore, a critical CV penetration rate should exist at a specified traffic demand level, which can significantly reduce the speed difference between RVs and CVs. The results offer effective insight to understand the potential impacts of different CV penetration rates on highway operation performance. Originality/value This approach assumes that there shall exist a critical CV penetration rate that can maximize the benefits of CV implementations. CV penetration rate (the proportion of CVs in mixed traffic) is the key factor affecting the impacts of CV on freeway operational performance. The evaluation criteria for freeway operational performance are using average travel time under different given traffic demand patterns.

scholarly journals Connected Vehicle as a Mobile Sensor for Real Time Queue Length at Signalized Intersections

Sensors ◽  
2019 ◽  
Vol 19 (9) ◽  
pp. 2059 ◽  
Author(s):  
Kai Gao ◽  
Farong Han ◽  
Pingping Dong ◽  
Naixue Xiong ◽  
Ronghua Du
Keyword(s):  
Neural Network ◽  
Real Time ◽  
Bp Neural Network ◽  
Queue Length ◽  
Penetration Rate ◽  
Connected Vehicles ◽  
Connected Vehicle ◽  
Mixed Traffic ◽  
Model Based ◽  
Sensing Model

With the development of intelligent transportation system (ITS) and vehicle to X (V2X), the connected vehicle is capable of sensing a great deal of useful traffic information, such as queue length at intersections. Aiming to solve the problem of existing models’ complexity and information redundancy, this paper proposes a queue length sensing model based on V2X technology, which consists of two sub-models based on shockwave sensing and back propagation (BP) neural network sensing. First, the model obtains state information of the connected vehicles and analyzes the formation process of the queue, and then it calculates the velocity of the shockwave to predict the queue length of the subsequent unconnected vehicles. Then, the neural network is trained with historical connected vehicle data, and a sub-model based on the BP neural network is established to predict the real-time queue length. Finally, the final queue length at the intersection is determined by combining the sub-models by variable weight. Simulation results show that the sensing accuracy of the combined model is proportional to the penetration rate of connected vehicles, and sensing of queue length can be achieved even in low penetration rate environments. In mixed traffic environments of connected vehicles and unconnected vehicles, the queuing length sensing model proposed in this paper has higher performance than the probability distribution (PD) model when the penetration rate is low, and it has an almost equivalent performance with higher penetration rate while the penetration rate is not needed. The proposed sensing model is more applicable for mixed traffic scenarios with much looser conditions.

Utilizing Lane-Based Strategy to Incorporate Mixed Traffic in Interchange Control for Connected and Autonomous Vehicles

2019 ◽  
Vol 2673 (5) ◽  
pp. 454-465 ◽  
Author(s):  
Majeed Algomaiah ◽  
Zhixia Li
Keyword(s):  
Autonomous Vehicles ◽  
Penetration Rate ◽  
Traffic Signals ◽  
Heavy Vehicle ◽  
Market Penetration ◽  
Mixed Traffic ◽  
Traffic Demand ◽  
Communication Range ◽  
Throughput And Delay ◽  
Lane Based

This work examines the next-generation interchange control system (NIC) that aims to control connected and autonomous vehicles (CAV) at interchanges with the consideration of different mixed traffic cases. The first objective of the paper is to test several parameters including traffic demand, heavy vehicle percentage, communication range, and advance stop line (ASL) to investigate their impact on throughput and delay. The second objective is to incorporate mixed traffic in the NIC, utilizing a lane-based strategy that is responsive to market penetration rates. The NIC coordinates vehicles to traverse the interchange terminal by using a reservation-based control strategy with a first-come-first-served (FCFS) reservation protocol. The algorithm of this system was modeled in the simulation software package VISSIM using a slightly modified real-world scenario of interchange. The evaluation of the system starts with testing some key variables when market penetration rate is 100%. The results demonstrate that the increase in traffic demand and heavy vehicle percentage affects the performance of the NIC by increasing the delay. Although the effects of communication range and advance stop location do not have clear patterns, the communication range of 600 ft and ASL of 100 ft indicate a relatively lower delay. Throughput and delay results reveal that the NIC outperforms traffic signals when the market penetration rate is 75%, whereas a 25% market penetration rate provides similar performance to traffic signals.

scholarly journals Variable Speed Limit and Ramp Metering for Mixed Traffic Flows: A Review and Open Questions

2021 ◽  
Vol 11 (6) ◽  
pp. 2574
Author(s):  
Filip Vrbanić ◽  
Edouard Ivanjko ◽  
Krešimir Kušić ◽  
Dino Čakija
Keyword(s):  
Traffic Control ◽  
Ramp Metering ◽  
Transport Infrastructure ◽  
Control Algorithms ◽  
Speed Limit ◽  
Mixed Traffic ◽  
Traffic Flows ◽  
Variable Speed ◽  
Variable Speed Limit ◽  
Traffic Demand

The trend of increasing traffic demand is causing congestion on existing urban roads, including urban motorways, resulting in a decrease in Level of Service (LoS) and safety, and an increase in fuel consumption. Lack of space and non-compliance with cities’ sustainable urban plans prevent the expansion of new transport infrastructure in some urban areas. To alleviate the aforementioned problems, appropriate solutions come from the domain of Intelligent Transportation Systems by implementing traffic control services. Those services include Variable Speed Limit (VSL) and Ramp Metering (RM) for urban motorways. VSL reduces the speed of incoming vehicles to a bottleneck area, and RM limits the inflow through on-ramps. In addition, with the increasing development of Autonomous Vehicles (AVs) and Connected AVs (CAVs), new opportunities for traffic control are emerging. VSL and RM can reduce traffic congestion on urban motorways, especially so in the case of mixed traffic flows where AVs and CAVs can fully comply with the control system output. Currently, there is no existing overview of control algorithms and applications for VSL and RM in mixed traffic flows. Therefore, we present a comprehensive survey of VSL and RM control algorithms including the most recent reinforcement learning-based approaches. Best practices for mixed traffic flow control are summarized and new viewpoints and future research directions are presented, including an overview of the currently open research questions.

Integrated quality environmental management implementation in food processing SMEs

2019 ◽  
Vol 31 (5) ◽  
pp. 740-757 ◽  
Author(s):  
Syed Ali Raza Shah ◽  
Khairur Rijal Jamaludin ◽  
Hayati Habibah Abdul Talib ◽  
Sha’ri Mohd Yusof
Keyword(s):  
Environmental Management ◽  
Food Processing ◽  
Success Factors ◽  
Process Management ◽  
Empirical Studies ◽  
Sampling Technique ◽  
Developed Countries ◽  
Operational Performance ◽  
Snowball Sampling ◽  
Content Type

Purpose The purpose of this paper is to identify the critical success factors (CSFs) of integrated quality environmental management (IQEM) and analyze their impact on operational performance (OP) and environmental performance (EP) in food processing Small and medium-sized enterprises (SMEs) in Pakistan. Design/methodology/approach The study is based on collecting data using a survey questionnaire through snowball sampling technique. A total of 302 food processing SMEs operating in Punjab, Pakistan, responded to the survey. SPSS version-23 and SmartPLS-3 were used for data analysis. Findings The literature review identified leadership (LS), employee management (EM), strategic planning (SP), information management (IM), process management (PM), supplier management (SM) and customer focus (CF) as CSFs of IQEM. The results of this study found a significant relationship of all identified CSFs with operational performance in food processing SMEs whereas EM, IM, PM and SM were insignificant with the EP in the food processing SMEs. Research limitations/implications Although this study has collected data from one province, the Punjab province, it still relevant in identifying the CSFs for IQEM implementation within food processing SMEs to improve performance. Originality/value Despite the wide spread of integrated systems practices in the developed countries, little attention has been placed to implement and assess the IQEM initiatives by organizations in the developing countries. Thus, this study identified CSFs of IQEM based on empirical studies and analyzed their impact on OP and EP of food processing SMEs.

Boards and governance of state-owned enterprises

2014 ◽  
Vol 14 (2) ◽  
pp. 238-251 ◽  
Author(s):  
Samuel Nana Yaw Simpson
Keyword(s):  
Corporate Governance ◽  
Public Sector ◽  
Boards Of Directors ◽  
Evaluation Criteria ◽  
Executive Directors ◽  
Middle Income ◽  
Content Type ◽  
And Performance ◽  
Legal Frameworks ◽  
State Enterprises

Purpose – This study aims to examine the structure, attributes, and performance of boards of directors of state-owned enterprises (SOEs) within the broader context of public sector governance. This is informed by the less attention given to the concept among public sector organizations despite efforts to make state enterprises more effective and efficient, especially in developing and middle income countries. Design/methodology/approach – Data was collected through questionnaires self-administered in 2010 to all 25 SOEs in Accra, Ghana, out of the 29 nationwide. Some key officials were interviewed and documentary evidence analyzed to achieve triangulation of data and results. Findings – Results show that state-owned enterprises have boards and comply with the minimal governance issues outlined the legal frameworks establishing them. However, they exhibit significant weaknesses in the areas of board performance evaluation, criteria for board appointment, the balance of executive directors and non-executive directors, and other board characteristics, indicating a departure from general practices. Practical implications – Findings suggest the need for a tailored corporate governance framework or code for state-owned enterprises in developing countries. Originality/value – Compared to the literature, this study provides insight on boards from the perspective of state enterprises in ensuring good corporate governance, particularly in the context of a middle income country (Ghana).

The X factor that can help to motivate Generation Y

2015 ◽  
Vol 23 (1) ◽  
pp. 32-34 ◽  
Author(s):  
S.S. Sreejith
Keyword(s):  
Information Technology ◽  
Performance Evaluation ◽  
Evaluation System ◽  
Evaluation Criteria ◽  
Recognition System ◽  
Information Technology Workers ◽  
Content Type ◽  
Performance Evaluation System ◽  
Evaluation Systems ◽  
Effective Performance

Purpose – Explains why performance evaluation designed for manufacturers is inappropriate for information technology organizations. Design/methodology/approach – Underlines the distinctiveness of the information technology workforce and provides the basis for an effective performance- evaluation system designed for these workers. Findings – Highlights the roles of consensus and transparency in setting and modifying evaluation criteria. Practical implications – Urges the need for a fair and open rewards and recognition system to run in parallel with reformed performance evaluation. Social implications – Provides a way of updating performance evaluation systems to take account of the move from manufacturing to information technology-based jobs in many developed and developing societies. Originality/value – Reveals how best to recognize, reward and assess the performance of information technology workers.

Ambidextrous leadership, entrepreneurial orientation, and operational performance

2017 ◽  
Vol 38 (2) ◽  
pp. 229-253 ◽  
Author(s):  
Trong Tuan Luu
Keyword(s):  
Operations Management ◽  
Entrepreneurial Orientation ◽  
Operational Performance ◽  
Content Type ◽  
Business Context ◽  
Organizational Social Capital ◽  
Software Companies ◽  
Predictive Role ◽  
Ambidextrous Leadership

Purpose The purpose of this paper is to investigate the role of ambidextrous leadership in fostering entrepreneurial orientation (EO) and operational performance. The research also seeks an insight into the moderating role that organizational social capital (OSC) plays on the relationship between ambidextrous leadership and EO. Design/methodology/approach The responses to the questionnaire survey were collected from 427 managers from software companies in Vietnam business context. Findings The data analysis verified the positive effect of ambidextrous leadership on EO, which was positively moderated by OSC. The research results also shed light on the predictive role of EO for the organization’s operational performance. Originality/value This research contributes to literature through identifying the convergence of entrepreneurship and operations management research streams, and the moderation role of OSC for the ambidextrous leadership-EO relationship.

A multi-attribute approach to select the best method for repairing river bridge columns

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Mitra Salmaninezhad ◽  
S. Mahmood Jazayeri Moghaddas
Keyword(s):  
Evaluation Criteria ◽  
Bridge Columns ◽  
Pier Scour ◽  
Content Type ◽  
Accuracy And Precision ◽  
Proposed Model ◽  
Research Findings ◽  
Multi Attribute Decision Making ◽  
Weighing Method

PurposePier scour is one of the main causes of damage to the columns of the river bridges. It is essential to select the best method among various repair methods based on different evaluation indices. However, there is no procedure for ranking these repair methods based on their attributes. The present study seeks to set an approach for this ranking.Design/methodology/approachIn this paper, a multi-attribute decision-making (MADM) model is presented for ranking the repair techniques, in which alternatives are examined using the most important evaluation criteria. In addition, a combination of entropy and eigenvector methods has been proposed for weighting these attributes. A case study is then used to demonstrate the applicability and the validity of the method.FindingsThe execution of the model using two multi-criteria methods yielded similar results, which confirms its accuracy and precision. Moreover, the research findings showed the consistency of the objective and subjective weighting methods and the conformity of the weights obtained for the attributes from the combination of these methods to the nature of the problem.Originality/valueThe selection of the proper method for repairing the bridge columns plays an essential role in success of the bridge restoration. The proposed model introduces an approach for ranking repair methods and selecting the best one that has not been presented so far. Also, the weighing method for attributes is an innovative method for ranking restoration methods that has been proven in a case study.

Value in vehicles: economic assessment of automotive data

2018 ◽  
Vol 20 (6) ◽  
pp. 513-527
Author(s):  
Alexander M. Soley ◽  
Joshua E. Siegel ◽  
Dajiang Suo ◽  
Sanjay E. Sarma
Keyword(s):  
Model Performance ◽  
Economic Assessment ◽  
Connected Vehicle ◽  
Data Generation ◽  
Content Type ◽  
Monetary Value ◽  
Vehicle Data ◽  
Data Market ◽  
Data Stewardship ◽  
Value Model

Purpose The purpose of this paper is to develop a model to estimate the value of information generated by and stored within vehicles to help people, businesses and researchers. Design/methodology/approach The authors provide a taxonomy for data within connected vehicles, as well as for actors that value such data. The authors create a monetary value model for different data generation scenarios from the perspective of multiple actors. Findings Actors value data differently depending on whether the information is kept within the vehicle or on peripheral devices. The model shows the US connected vehicle data market is worth between US$11.6bn and US$92.6bn. Research limitations/implications This model estimates the value of vehicle data, but a lack of academic references for individual inputs makes finding reliable inputs difficult. The model performance is limited by the accuracy of the authors’ assumptions. Practical implications The proposed model demonstrates that connected vehicle data has higher value than people and companies are aware of, and therefore we must secure these data and establish comprehensive rules pertaining to data ownership and stewardship. Social implications Estimating the value of data of vehicle data will help companies understand the importance of responsible data stewardship, as well as drive individuals to become more responsible digital citizens. Originality/value This is the first paper to propose a model for computing the monetary value of connected vehicle data, as well as the first paper to provide an estimate of this value.

scholarly journals Effective contracting for high operational performance in projects

2019 ◽  
Vol 39 (2) ◽  
pp. 294-325 ◽  
Author(s):  
Maria Kapsali ◽  
Jens K. Roehrich ◽  
Pervaiz Akhtar
Keyword(s):  
Comparative Analysis ◽  
Fuzzy Set ◽  
Design Methodology ◽  
Qualitative Comparative Analysis ◽  
Operational Performance ◽  
Future Research ◽  
Content Type ◽  
Contractual Incompleteness ◽  
Managerial Implications ◽  
Practical Implications

Purpose The purpose of this paper is to examine combinations of contract clauses in order to ascertain which combinations correlate to high operational performance (OP). Design/methodology/approach Two hypotheses were formulated from contracting theory and tested on data collected from 45 projects. Fuzzy set qualitative comparative analysis was used and validated with multiple regression and simulation. Findings The hypotheses were tested to determine whether combinations of classical, relational, and/or associational contract clauses correlate to high OP. The results show that whereas high OP correlates to combinations of relational and associational contract clauses, classical and relational clauses should not be combined. Research limitations/implications Directions are proposed to guide future research in order to produce a more nuanced testing of contractual complementarity. Practical implications The managerial implications of the findings include a more thorough understanding of the use of contract clauses and of which clauses managers should combine to achieve high OP. Originality/value This study contributes to the theory of contractual incompleteness and complementarity, specifically in the context of project contracting. The analysis produced two theoretical implications: first, that better performing contracts are created when combining relational and associational contract clauses; and second, that in projects, relational and classical contract clauses are not complementary with regards to realizing high OP.

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