• Title/Summary/Keyword: 주행전략

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A study of the activation from strategic perspectives based on autonomous vehicle issues and problem solving (자율주행자동차의 이슈 및 문제해결에 기반한 전략적 관점에서의 활성화 방안 연구)

  • Jo, Jae-Wook
    • Journal of Digital Convergence
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    • v.19 no.10
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    • pp.241-246
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    • 2021
  • Although there have been many studies on laws and systems for the proliferation of autonomous vehicles, studies on the activation of autonomous vehicles from a strategic perspective are insufficient. This study examines the issues and problem solving methods of autonomous vehicles. Based on this, plans to activate autonomous vehicles from a strategic point of view are proposed. In order to solve the issues and problems of autonomous vehicles, it is necessary to clearly establish legal and institutional standards based on the reinforcement of the safety of autonomous vehicles. In the event of a traffic accident, who is responsible for the accident and responsibility for compensation should be prioritized. Diffusion strategies are established according to the level of autonomous driving for the activation of autonomous vehicles in strategic perspective. In addition, governmental support policies should be used as triggers for initial activation, and marketing mix strategies should be implemented based on segmentation, targeting, and positioning strategies.

Development of Dilemma Situations and Driving Strategies to Secure Driving Safety for Automated Vehicles (자율주행자동차 주행안전성 확보를 위한 딜레마 상황 정의 및 운전 전략 도출)

  • Park, Sungho;Jeong, Harim;Kim, Yejin;Lee, Myungsoo;Han, Eum
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.6
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    • pp.264-279
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    • 2021
  • Most automated vehicle evaluation scenarios are developed based on the typical driving situations that automated vehicles will face. However, various situations occur during actual driving, and sometimes complex judgments are required. This study is to define a situation that requires complex judgment for safer driving of an automated vehicle as a dilemma situation, and to suggest a driving strategy necessary to secure driving safety in each situation. To this end, we defined dilemma situations based on the automated vehicle ethics guidelines, the criteria for recognition of error rate in automobile accidents, and suggestions from the automated vehicle developers. In addition, in the defined dilemma situations, the factors affecting movement for establishing driving strategies were explored, and the priorities of factors affecting driving according to the Road Traffic Act and driving strategies were derived accordingly.

Traffic Operation Strategy for the Mixed Traffic Flow on Autonomous Vehicle Pilot Zone: Focusing on Pangyo Zero City (자율주행차 혼재 시 시범운행지구 교통운영전략 수립: 판교제로시티를 중심으로)

  • Donghyun Lim;Woosuk Kim;Jongho Kim;Hyungjoo Kim
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.22 no.1
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    • pp.172-191
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    • 2023
  • This study was undertaken to strategize the mixed traffic operation of autonomous vehicles in the pilot zone. This was achieved by analyzing the changes expected when autonomous vehicles are mixed in the autonomous vehicle pilot zone. Although finding a safe and efficient traffic operation strategy is required for the pilot zone to serve as a test bed for autonomous vehicles, there is no available operation strategy based on the mixture of autonomous vehicles. In order to presents a traffic operation strategies for each period of autonomous vehicle introduction, traffic efficiency and safety analysis was performed according to the autonomous vehicle market percentage rate. Based on the analysis results, the introduction stage was divided into introductory stage, transition period, and stable period based on the autonomous vehicle market share of 30% and 70%. This study presents the following traffic operation strategies. Considering the traffic flow operation strategy, we suggest the advancement of the existing road infrastructure at the introductory stage, and operating an autonomous driving lane and the mileage system during the transition period. We also propose expanding the operation of autonomous driving lanes and easing the speed limit during the stable period. In the traffic safety strategy, we present a manual and legal system for responding to autonomous vehicle accidents in the introductory stage, an analysis of the causes of autonomous vehicle accidents and the implementation of preventive policies in the transition period, and the advancement of the autonomous system and the reinforcement of the security system during the stable period. Through the traffic operation strategy presented in this study, we foresee the possibility of preemptively responding to the changes of traffic flow and traffic safety expected due to the mixture of autonomous vehicles in the autonomous vehicle pilot zone in the future.

Study on Establishment of Development Strategy for K-City Based on Analysis of Domestic and Overseas Automated Vehicle Testbeds (국내외 자율주행차 테스트베드 분석 기반 K-City 발전 전략 수립에 관한 연구)

  • Kim, Yejin;Park, Sangmin;Kim, Inyoung;Ko, Hangeom;Cho, Seongwoo;Yun, llsoo
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.20 no.4
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    • pp.28-46
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    • 2021
  • 85-90% of the causes of traffic accidents are human factors, and autonomous vehicles with little free running distance can be an alternative to prevent traffic accidents caused by human factors. However, securing safety of autonomous vehicles should be preceded in order to reduce traffic accident damage through the introduction of autonomous vehicles. Therefore, it is necessary to verify whether the vehicle can respond appropriately to changes in the road and traffic environment through repeated and reproduced test runs in an environment similar to the actual road. In this study, K-City's development strategies for upgrading, differentiating, and systematic development were established by comparing and analyzing the current status of domestic and foreign testbeds and business environment analysis. Furthermore, we derive challenge tasks to achieve each strategy.

Driving Methology for Smart Transportation under Longitudinal and Curved Section of Freeway (스마트교통시대의 종단 및 횡단 복합도로선형 구간에서의 가감속 시나리오별 최적주행 방법론)

  • Yoon, Jin su;Bae, Sang hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.16 no.3
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    • pp.73-82
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    • 2017
  • As of December 2016, the number of registered automobiles in Korea exceeds 21million. As a result, greenhouse gas emission by transportation sector are increasing every year. It was concluded that the development of the driving strategy considering the driving behavior and the road conditions, which are known to affect the fuel efficiency and the greenhouse gas emissions, could be the most effective fuel economy improvement. Therefore, this study aims to develop a fuel efficient driving strategy in a complex linear section with uphill and curved sections. The road topography was designed according to 'Rules about the Road Structure & Facilities Standards'. Various scenarios were selected. After generating the speed profile, it was applied to the Comprehensive Modal Emission Model and fuel consumption was calculated. The scenarios with the lowest fuel consumption were selected. After that, the fuel consumption of the manual driver's driving record and the selected optimal driving strategy were compared and analyzed for verification. As a result of the analysis, the developed optimal driving strategy reduces fuel consumption by 21.2% on average compared to driving by manual drivers.

Fuzzy Logic and Behavior Control Strategy for Autonomous Mobile Robot Mapping (자동이동로봇궤적을 위한 퍼지논리와 행동제어전략)

  • Jin Hyun-Soo
    • Proceedings of the Korean Institute of Intelligent Systems Conference
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    • 2005.04a
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    • pp.213-216
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    • 2005
  • 자동주행을 위한 반자동 이동로봇의 실험능력을 배양시키기 위하여 주행능력과 세상지도정보를 모으고 그 능력에 대한 지식정보를 배가시키는데 관심을 두고 있다. 중심 사항은 환경을 거쳐 나가면서 환경의 지도를 만들 수 있는 이동 로봇의 본래의 불확실성을 다루는데 필요한 타당한 이유를 제시한다. 문제점을 더욱 간단한 임무로써 분할시킴으로써 주행과 이동성을 가능케하는 충분한 수준의 지식정보를 보여주는 이동 로봇을 발전시킬 수 있다. 본 논문에서는 자동 주행 참지향 능력배양을 위한 반자동 행동제어 시스템의 기본골격에다 퍼지논리를 적용시키는 전략에 대해 논의한다.

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A Methodology to Establish Operational Strategies for Truck Platoonings on Freeway On-ramp Areas (고속도로 유입연결로 구간 화물차 군집운영전략 수립 방안 연구)

  • LEE, Seolyoung;OH, Cheol
    • Journal of Korean Society of Transportation
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    • v.36 no.2
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    • pp.67-85
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    • 2018
  • Vehicle platooning through wireless communication and automated driving technology has become realized. Platooning is a technique in which several vehicles travel at regular intervals while maintaining a minimum safety distance. Truck platooning is of keen interest because it contributes to preventing truck crashes and reducing vehicle emissions, in addition to the increase in truck flow capacity. However, it should be noted that interactions between vehicle platoons and adjacent manually-driven vehicles (MV) significantly give an impact on the performance of traffic flow. In particular, when vehicles entering from on-ramp attempt to merge into the mainstream of freeway, proper interactions by adjusting platoon size and inter-platoon spacing are required to maximize traffic performance. This study developed a methodology for establishing operational strategies for truck platoonings on freeway on-ramp areas. Average speed and conflict rate were used as measure of effectiveness (MOE) to evaluate operational efficiency and safety. Microscopic traffic simulation experiments using VISSIM were conducted to evaluate the effectiveness of various platooning scenarios. A decision making process for selecting better platoon operations to satisfy operations and safety requirements was proposed. It was revealed that a platoon operating scenario with 50m inter-platoon spacing and the platoon consisting of 6 vehicles outperformed other scenarios. The proposed methodology would effectively support the realization of novel traffic management concepts in the era of automated driving environments.

Comparison of Control Strategies for Military Series-Type HEVs in Terms of Fuel Economy Based on Vehicle Simulation (시뮬레이션을 이용한 군용 직렬형 HEV 의 주행 전략에 따른 연비 성능 비교에 관한 연구)

  • Jung, Dae-Bong;Kim, Hyung-Jun;Kang, Hyung-Mook;Park, Jae-Man;Min, Kyoung-Doug;Seo, Jung-Il
    • Transactions of the Korean Society of Mechanical Engineers B
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    • v.36 no.1
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    • pp.31-36
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    • 2012
  • Military vehicles, compared to conventional vehicles, require higher driving performance, quieter operation, and longer driving distances with minimal fuel supplies. The series hybrid electric vehicle can be driven with no noise and has high initial startup performance, because it uses only a traction motor that has a high startup torque to drive the vehicle. Moreover, the fuel economy can be improved if the vehicle is hybridized. In series hybrid electric vehicles, the electric generation system, which consists of an engine and a generator, supplies electric energy to a battery or traction motor depending on the vehicle driving state and battery state of charge (SOC). The control strategy determines the operation of the generation system. Thus, the fuel economy of the series hybrid electric vehicle relies on the control strategy. In this study, thermostat, power-follower, and combined strategies were compared, and a 37% improvement in the fuel economy was implemented using the combined control strategy suggested in this study.

Investigation of Impacts of Truck Lane Restrictions on Multilane Highways Using Micro Traffic Simulation (미시적 시뮬레이션을 이용한 화물차 차로이용제한 영향분석)

  • Yang, Choong-Heon;Son, Young-Tae;Kwon, Yong-Suk
    • International Journal of Highway Engineering
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    • v.9 no.4
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    • pp.75-82
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    • 2007
  • This study was performed to investigate impacts of truck lane restrictions on multilane highways on traffic flow variables such as average speed, the frequency of lane changes, and change in traffic volume and also to verify whether or not different lane restriction scenarios were proper. Two types of hypothetical highway networks and OD demands were developed for traffic simulation models in order to conduct the experimental study. Three types of scenarios were also developed according to the number of restricted lanes for trucks. The PARAMICS microscopic traffic simulation software package was used as the primary analytical tool. Statistical analysis was conducted with simulation outputs. Results showed that truck lane restrictions may lead to positive impacts on traffic flow on multilane highways. In addition, this study demonstrated that the number of restricted lanes can be very an important factor to lead successful implementation of truck lane restrictions.

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Development of Optimized Driving Model for decreasing Fuel Consumption in the Longitudinal Highway Section (고속도로 종단지형을 고려한 연료 효율적 최적주행전략 모형 개발)

  • Choi, Ji-eun;Bae, Sang-hoon
    • The Journal of The Korea Institute of Intelligent Transport Systems
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    • v.14 no.6
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    • pp.14-20
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    • 2015
  • The Korea ministry of land, infrastructure and transport set the goal of cutting greenhouse gas emissions from the transport sector by 34.3% relative to the business as usual scenario by 2020. In order to achieve this goal, support is being given to education and information regarding eco-driving. As a practical measure, however, a vehicle control strategy for decreasing fuel consumptions and emissions is necessary. Therefore, this paper presents an optimized driving model in order to decrease fuel consumption. Scenarios were established by driving mode. The speed profile for each scenario applied to Comprehensive Modal Emission Model and then each fuel consumption was estimated. Scenarios and speed variation with the least fuel consumption were derived by comparing the fuel consumptions of scenarios. The optimized driving model was developed by the derived the results. The speed profiles of general driver were collected by field test. The speed profile of the developed model and the speed profile of general driver were compared and then fuel consumptions for each speed profile were analyzed. The fuel consumptions for optimized driving were decreased by an average of 11.8%.