scholarly journals Decision making framework for autonomous vehicles driving behavior in complex scenarios via hierarchical state machine

2021 ◽  
Vol 1 (1) ◽  
Author(s):  
Xuanyu Wang ◽  
Xudong Qi ◽  
Ping Wang ◽  
Jingwen Yang
Keyword(s):  
Decision Making ◽  
Energy Efficiency ◽  
Real Time ◽  
Lower Layer ◽  
Middle Layer ◽  
Driving Behavior ◽  
State Machine ◽  
Multiple Criteria ◽  
Decision Strategy ◽  
Decision Making Framework

AbstractWith the development of autonomous car, a vehicle is capable to sense its environment more precisely. That allows improved drving behavior decision strategy to be used for more safety and effectiveness in complex scenarios. In this paper, a decision making framework based on hierarchical state machine is proposed with a top-down structure of three-layer finite state machine decision system. The upper layer classifies the driving scenario based on relative position of the vehicle and its surrounding vehicles. The middle layer judges the optimal driving behavior according to the improved energy efficiency function targeted at multiple criteria including driving efficiency, safety and the grid-based lane vacancy rate. The lower layer constructs the state transition matrix combined with the calculation results of the previous layer to predict the optimal pass way in the region. The simulation results show that the proposed driving strategy can integrate multiple criteria to evaluate the energy efficiency value of vehicle behavior in real time, and realize the selection of optimal vehicle driving strategy. With popularity of automatic vehicles in future, the driving strategy can be used as a reference to provide assistance for human drive or even the real-time decision-making of autonomous driving.

scholarly journals Online Learning Algorithms for the Real-Time Set-Point Tracking Problem

2021 ◽  
Vol 11 (14) ◽  
pp. 6620
Author(s):  
Arman Alahyari ◽  
David Pozo ◽  
Meisam Farrokhifar
Keyword(s):  
Decision Making ◽  
Power Systems ◽  
Real Time ◽  
Demand Response ◽  
Tracking Problem ◽  
Smart Meters ◽  
Set Point ◽  
Point Tracking ◽  
Power Set ◽  
Decision Making Framework

With the recent advent of technology within the smart grid, many conventional concepts of power systems have undergone drastic changes. Owing to technological developments, even small customers can monitor their energy consumption and schedule household applications with the utilization of smart meters and mobile devices. In this paper, we address the power set-point tracking problem for an aggregator that participates in a real-time ancillary program. Fast communication of data and control signal is possible, and the end-user side can exploit the provided signals through demand response programs benefiting both customers and the power grid. However, the existing optimization approaches rely on heavy computation and future parameter predictions, making them ineffective regarding real-time decision-making. As an alternative to the fixed control rules and offline optimization models, we propose the use of an online optimization decision-making framework for the power set-point tracking problem. For the introduced decision-making framework, two types of online algorithms are investigated with and without projections. The former is based on the standard online gradient descent (OGD) algorithm, while the latter is based on the Online Frank–Wolfe (OFW) algorithm. The results demonstrated that both algorithms could achieve sub-linear regret where the OGD approach reached approximately 2.4-times lower average losses. However, the OFW-based demand response algorithm performed up to twenty-nine percent faster when the number of loads increased for each round of optimization.

A Locational Decision Making Framework for Shipbreaking under Multiple Criteria

2016 ◽  
Vol 7 (1) ◽  
pp. 76-97 ◽  
Author(s):  
Joshin John ◽  
Sushil Kumar
Keyword(s):  
Decision Making ◽  
Indian Subcontinent ◽  
Business Environment ◽  
Multiple Criteria ◽  
Decision Making Process ◽  
Multiple Factors ◽  
Locational Decision ◽  
Decision Making Framework ◽  
Work Done ◽  
Relevant Factors

The decision making process for shipbreaking is complicated and is dependent on multiple factors. However, due to the vastly unorganized nature of shipbreaking industry in major shipbreaking locations, there is little work done to the best of the authors' knowledge, wherein these factors are mapped, weighed and integrated in the form of a comprehensive decision making framework. In recent years, although there have been significant efforts by researchers to capture the process of shipbreaking and recycling in literature, a comprehensive decision support system that encapsulates the multiple criteria for shipbreaking in a quantifiable form, is yet to be developed. This paper attempts to bridge this gap, by formulating a decision making framework, particularly for selecting the shipbreaking facility and the extent of recycling subsequent to ship disassembly, using AHP methodology. The framework considers the relevant factors, and is useful not only for shipping companies and cash brokers for decision making, but also provides insights vis-à-vis the migrating pattern of shipbreaking industry, particularly from Indian subcontinent to China, as observed in the contemporary business environment.

A Locational Decision Making Framework for Shipbreaking Under Multiple Criteria

2018 ◽  
pp. 504-527
Author(s):  
Joshin John ◽  
Sushil Kumar
Keyword(s):  
Decision Making ◽  
Decision Support ◽  
Indian Subcontinent ◽  
Business Environment ◽  
Multiple Criteria ◽  
Multiple Factors ◽  
Locational Decision ◽  
Decision Making Framework ◽  
Work Done ◽  
Relevant Factors

The decision making process for shipbreaking is complicated and is dependent on multiple factors. However, due to the vastly unorganized nature of shipbreaking industry in major shipbreaking locations, there is little work done to the best of the authors' knowledge, wherein these factors are mapped, weighed and integrated in the form of a comprehensive decision making framework. In recent years, although there have been significant efforts by researchers to capture the process of shipbreaking and recycling in literature, a comprehensive decision support system that encapsulates the multiple criteria for shipbreaking in a quantifiable form, is yet to be developed. This paper attempts to bridge this gap, by formulating a decision making framework, particularly for selecting the shipbreaking facility and the extent of recycling subsequent to ship disassembly, using AHP methodology. The framework considers the relevant factors, and is useful not only for shipping companies and cash brokers for decision making, but also provides insights vis-à-vis the migrating pattern of shipbreaking industry, particularly from Indian subcontinent to China, as observed in the contemporary business environment.

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