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      KCI등재 SCIE SCOPUS

      TRAJECTORY PLANNING ALGORITHM USING GAUSS PSEUDOSPECTRAL METHOD BASED ON VEHICLE-INFRASTRUCTURE COOPERATIVE SYSTEM

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      https://www.riss.kr/link?id=A106972012

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      다국어 초록 (Multilingual Abstract)

      Vehicle-infrastructure cooperative systems can potentially enhance both traffic safety and efficiency by conducting coordinated control through the interactive strategy between the vehicles and the infrastructure. In this study, the interactive strate...

      Vehicle-infrastructure cooperative systems can potentially enhance both traffic safety and efficiency by conducting coordinated control through the interactive strategy between the vehicles and the infrastructure. In this study, the interactive strategy of a vehicle infrastructure cooperative system is designed. Lane change maneuver is a conventional behavior in driving. Thus, this paper proposes a trajectory planning algorithm based on a Gauss pseudo-spectral method that is applied to the intelligent vehicle-infrastructure cooperative system in the lane change scenario. A road side unit calculates the planning trajectory using collected vehicle information and sensor data and then sends the trajectory planning advice to the designated vehicle. The Gauss pseudo-spectral method is used to obtain the planning trajectory, which effectively helps solve the discontinuous optimization problems in partial conditions. It transforms the optimal control problem of dynamic systems into a nonlinear programming problem using the orthogonal collocation method to discretize the objective function and various constraints of the optimization problem. Furthermore, the ssuential quadratic programming method is used to solve the problem numerically. The effectiveness of the proposed method and interactive strategy are demonstrated through simulations and experimental results.

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      참고문헌 (Reference)

      1 Gill, P. E., "User's Guide for SNOPT Version 7: Software for Large-scale Nonlinear Programming"

      2 You, F., "Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system" 42 (42): 5932-5946, 2015

      3 Hong, B. X., "Trajectory optimization of solid launch vehicle based on hp-adaptive pseudospectral method" 30 (30): 18-31, 2012

      4 Blincoe, L., "The economic and societal impact of motor vehicle crashes" 66 (66): 194-196, 2015

      5 Gong, Q., "Spectral algorithm for pseudospectral methods in optimal control" 31 (31): 460-471, 2008

      6 Gill, P. E., "SNOPT : An SQP algorithm for large-scale constrained optimization" 47 (47): 99-131, 2005

      7 Ruiming, W., "Research on Trajectory Planning of Wheeled Mobile Robot" Harbin University of Science and Technology 2018

      8 Han, P., "Re-entry trajectory optimization using an hp-adaptive radau pseudospectral method" 22 (22): 1623-1636, 2013

      9 Zhang, W., "Path planning for rapid large-angle maneuver of satellites based on the gauss pseudospectral method" 2016 : 2016

      10 Zichao, H., "Path planning and cooperative control for automated vehicle platoon using hybrid automata" 20 (20): 959-974, 2018

      1 Gill, P. E., "User's Guide for SNOPT Version 7: Software for Large-scale Nonlinear Programming"

      2 You, F., "Trajectory planning and tracking control for autonomous lane change maneuver based on the cooperative vehicle infrastructure system" 42 (42): 5932-5946, 2015

      3 Hong, B. X., "Trajectory optimization of solid launch vehicle based on hp-adaptive pseudospectral method" 30 (30): 18-31, 2012

      4 Blincoe, L., "The economic and societal impact of motor vehicle crashes" 66 (66): 194-196, 2015

      5 Gong, Q., "Spectral algorithm for pseudospectral methods in optimal control" 31 (31): 460-471, 2008

      6 Gill, P. E., "SNOPT : An SQP algorithm for large-scale constrained optimization" 47 (47): 99-131, 2005

      7 Ruiming, W., "Research on Trajectory Planning of Wheeled Mobile Robot" Harbin University of Science and Technology 2018

      8 Han, P., "Re-entry trajectory optimization using an hp-adaptive radau pseudospectral method" 22 (22): 1623-1636, 2013

      9 Zhang, W., "Path planning for rapid large-angle maneuver of satellites based on the gauss pseudospectral method" 2016 : 2016

      10 Zichao, H., "Path planning and cooperative control for automated vehicle platoon using hybrid automata" 20 (20): 959-974, 2018

      11 Donahue, J., "Long-term recurrent convolutional networks for visual recognition and description" 39 (39): 677-691, 2017

      12 Ran, B., "Intelligent Road Infrastructure System (IRIS): Systems and Methods"

      13 Rodemerk, C., "Development of a general criticality criterion for the risk estimation of driving situations and its application to a maneuver-based lane change assistance system" 2012

      14 Yang, G., "Cooperative same-direction automated lane-changing based on vehicle-to-vehicle communication" 34 (34): 120-129, 2017

      15 Hou, H., "Convergence of a gauss pseudospectral method for optimal control" 2015

      16 Ran, B., "Connected Automated Vehicle Highway Systems and Methods"

      17 Snider, J. M., "Automatic Steering Methods for Autonomous Automobile Path Tracking" Carnegie Mellon University 2009

      18 Habel, L. C., "Asymmetric lane change rules for a microscopic highway traffic model" 8751 : 620-629, 2014

      19 Mishra, P. K., "An improved radial basis-pseudospectral method with hybrid Gaussian-cubic kernels" 80 : 162-171, 2017

      20 Darby, C. L., "An hpadaptive pseudospectral method for solving optimal control problems" 32 (32): 476-502, 2011

      21 Wang, N., "Adaptive robust online constructive fuzzy control of a complex surface vehicle system" 46 (46): 1511-1523, 2015

      22 Li, Y. F., "A vehicular collision warning algorithm based on the time-tocollision estimation under connected environment" 2016

      23 Lee, K., "A novel P-norm correction method for lightweight topology optimization under maximum stress constraints" 171 : 18-30, 2016

      24 Liu, N., "A deep spatial contextual longterm recurrent convolutional network for saliency detection" 27 (27): 3264-3274, 2018

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      학술지 이력

      학술지 이력
      연월일 이력구분 이력상세 등재구분
      2023 평가예정 해외DB학술지평가 신청대상 (해외등재 학술지 평가)
      2020-01-01 평가 등재학술지 유지 (해외등재 학술지 평가) KCI등재
      2011-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2009-01-01 평가 등재학술지 유지 (등재유지) KCI등재
      2006-01-01 평가 등재학술지 선정 (등재후보2차) KCI등재
      2005-06-10 학술지명변경 한글명 : 한국자동차공학회 영문논문집 -> International Journal of Automotive Technology
      외국어명 : International Journal of Automotive Tech -> International Journal of Automotive Technology
      KCI등재후보
      2005-01-01 평가 등재후보 1차 PASS (등재후보1차) KCI등재후보
      2004-01-01 평가 SCIE 등재 (신규평가) KCI등재후보
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      기준연도 WOS-KCI 통합IF(2년) KCIF(2년) KCIF(3년)
      2016 1.14 0.53 0.85
      KCIF(4년) KCIF(5년) 중심성지수(3년) 즉시성지수
      0.71 0.62 0.534 0.03
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