scholarly journals Automated Lane Change Decision Making in Highway using a Hybrid Approach

2021 ◽  
Author(s):  
Ozan Çaldıran ◽  
Engin Baglayici ◽  
Morteza Dousti ◽  
Eren Mungan ◽  
Enes Bulut ◽  
...  
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Lane Change

Automated Lane Change Decision Making in Highway using a Hybrid Approach

2021 ◽  
Author(s):  
Ozan Çaldıran ◽  
Engin Baglayici ◽  
Morteza Dousti ◽  
Eren Mungan ◽  
Enes Bulut ◽  
...  
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Lane Change

scholarly journals Evaluating the Security Impact of Healthcare Web Applications Through Fuzzy Based Hybrid Approach of Multi-Criteria Decision-Making Analysis

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 135770-135783
Author(s):  
Alka Agrawal ◽  
Abhishek Kumar Pandey ◽  
Abdullah Baz ◽  
Hosam Alhakami ◽  
Wajdi Alhakami ◽  
...  
Keyword(s):  
Decision Making ◽  
Web Applications ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making

scholarly journals A Game Theory-Based Approach for Modeling Autonomous Vehicle Behavior in Congested, Urban Lane-Changing Scenarios

Sensors ◽  
2021 ◽  
Vol 21 (4) ◽  
pp. 1523
Author(s):  
Nikita Smirnov ◽  
Yuzhou Liu ◽  
Aso Validi ◽  
Walter Morales-Alvarez ◽  
Cristina Olaverri-Monreal
Keyword(s):  
Game Theory ◽  
Decision Making ◽  
Autonomous Vehicles ◽  
Autonomous Vehicle ◽  
Urban Traffic ◽  
Road User ◽  
Lane Change ◽  
Traffic Light ◽  
User Interactions ◽  
Lane Changing

Autonomous vehicles are expected to display human-like behavior, at least to the extent that their decisions can be intuitively understood by other road users. If this is not the case, the coexistence of manual and autonomous vehicles in a mixed environment might affect road user interactions negatively and might jeopardize road safety. To this end, it is highly important to design algorithms that are capable of analyzing human decision-making processes and of reproducing them. In this context, lane-change maneuvers have been studied extensively. However, not all potential scenarios have been considered, since most works have focused on highway rather than urban scenarios. We contribute to the field of research by investigating a particular urban traffic scenario in which an autonomous vehicle needs to determine the level of cooperation of the vehicles in the adjacent lane in order to proceed with a lane change. To this end, we present a game theory-based decision-making model for lane changing in congested urban intersections. The model takes as input driving-related parameters related to vehicles in the intersection before they come to a complete stop. We validated the model by relying on the Co-AutoSim simulator. We compared the prediction model outcomes with actual participant decisions, i.e., whether they allowed the autonomous vehicle to drive in front of them. The results are promising, with the prediction accuracy being 100% in all of the cases in which the participants allowed the lane change and 83.3% in the other cases. The false predictions were due to delays in resuming driving after the traffic light turned green.

scholarly journals The Optimal Setting of A/B Exam Papers without Item Pools: A Hybrid Approach of IRT and BGP

Mathematics ◽  
2020 ◽  
Vol 8 (8) ◽  
pp. 1290
Author(s):  
Zheng-Yun Zhuang ◽  
Chi-Kit Ho ◽  
Paul Juinn Bing Tan ◽  
Jia-Ming Ying ◽  
Jin-Hua Chen
Keyword(s):  
Decision Making ◽  
Item Response ◽  
Teaching Practice ◽  
Hybrid Approach ◽  
Psychological Factor ◽  
Three Dimensions ◽  
Data Driven ◽  
Item Pool ◽  
Optimal Setting ◽  
Item Pools

The administration of A/B exams usually involves the use of items. Issues arise when the pre-establishment of a question bank is necessary and the inconsistency in the knowledge points to be tested (in the two exams) reduces the exams ‘fairness’. These are critical for a large multi-teacher course wherein the teachers are changed such that the course and examination content are altered every few years. However, a fair test with randomly participating students should still be a guaranteed subject with no item pool. Through data-driven decision-making, this study collected data related to a term test for a compulsory general course for empirical assessments, pre-processed the data and used item response theory to statistically estimate the difficulty, discrimination and lower asymptotic for each item in the two exam papers. Binary goal programing was finally used to analyze and balance the fairness of A/B exams without an item pool. As a result, pairs of associated questions in the two exam papers were optimized in terms of their overall balance in three dimensions (as the goals) through the paired exchanges of items. These exam papers guarantee their consistency (in the tested knowledge points) and also ensure the fairness of the term test (a key psychological factor that motivates continued studies). Such an application is novel as the teacher(s) did not have a pre-set question bank and could formulate the fairest strategy for the A/B exam papers. The model can be employed to address similar teaching practice issues.

Optimal selection of design scheme in cloud environment: A novel hybrid approach of multi-criteria decision-making based on F-ANP and F-QFD

2020 ◽  
Vol 38 (3) ◽  
pp. 3371-3388 ◽  
Author(s):  
Jiashuang Fan ◽  
Suihuai Yu ◽  
Mingjiu Yu ◽  
Jianjie Chu ◽  
Baozhen Tian ◽  
...  
Keyword(s):  
Decision Making ◽  
Hybrid Approach ◽  
Multi Criteria Decision Making ◽  
Optimal Selection ◽  
Cloud Environment ◽  
Design Scheme ◽  
Selection Of
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