cicv_evaluate_master-multiple_eval/result/report_mul-0617.json

{"sceneNumber": "共测试2个用例", "testMileageSum": "1.36公里", "testDurationSum": "1分36秒", "algorithmComprehensiveScore": 96.58, "algorithmLevel": "优秀", "details": {"efficient": {"name": "高效性", "weight": "20.0%", "score": 96.58, "level": "优秀", "scoreList": [100, 88.81], "levelDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "details": {"efficientDrive": {"name": "行驶", "score": 84.88, "level": "良好", "gradeDistribution": {"优秀": 50, "良好": 0, "一般": 50, "较差": 0}, "indexes": {"averageSpeed": {"name": "平均速度", "average": 47.14, "max": 64.34, "min": 64.34, "number": 1, "range": "[30, inf)"}}, "builtin": {"averageSpeed": {"name": "平均速度", "data": [64.34, 29.94], "markLine": ["30"]}}, "custom": {}, "description1": "平均速度指标表现不佳，存在1个不合格用例，需要改进算法在这些用例中的表现；。"}, "efficientStop": {"name": "停车", "score": 100.0, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"stopDuration": {"name": "停车平均时长", "average": 0.0, "max": 0.0, "min": 0.0, "number": 0, "range": "[0, 5]"}, "stopCount": {"name": "停车次数", "average": 0.0, "max": 0.0, "min": 0.0, "number": 0, "range": "[0, 1]"}}, "builtin": {"stopDuration": {"name": "停车平均时长", "data": [0.0, 0.0], "markLine": ["5"]}, "stopCount": {"name": "停车次数", "data": [0.0, 0.0], "markLine": ["1"]}}, "custom": {}, "description1": "停车平均时长和停车次数指标表现良好，平均值在合理范围内且不存在不合格用例；。"}}, "description1": "车辆行驶效率高；", "description2": "算法应该优化车辆的规划控制逻辑，提高算法的通行效率。"}, "compliance": {"name": "合规性", "weight": "20.0%", "score": 100.0, "level": "优秀", "scoreList": [100, 100], "levelDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "details": {"deduct3": {"name": "中等违规（扣3分）", "score": 100.0, "level": "优秀", "indexes": {"pressSolidLine": {"name": "压实线", "times": 0}}}, "deduct6": {"name": "危险违规（扣6分）", "score": 100.0, "level": "优秀", "indexes": {"runRedLight": {"name": "闯红灯", "times": 0}, "overspeed20_50": {"name": "超速20%-50%", "times": 0}}}, "deduct12": {"name": "重大违规（扣12分）", "score": 100.0, "level": "优秀", "indexes": {"overspeed50": {"name": "超速50%以上", "times": 0}}}, "deduct1": {"name": "轻微违规（扣1分）", "score": 100.0, "level": "优秀", "indexes": {"overspeed10": {"name": "超速，但未超过10%", "times": 0}, "overspeed10_20": {"name": "超速10%-20%", "times": 0}}}}, "description1": "车辆在本轮测试中无违反交通法规行为；", "description2": "共有2个用例，其中0个用例出现违规行为。"}, "function": {"name": "功能性", "weight": "20.0%", "noObjectCar": false, "score": 99.13, "level": "优秀", "scoreList": [99.15, 99.1], "levelDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "details": {"functionLKA": {"name": "LKA", "score": 99.15, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"laneDistance": {"name": "车道内偏移行驶时，与近侧车道线的横向距离", "average": 1.08, "max": 1.08, "min": 1.08, "range": "[0.9, inf)"}, "centerDistanceFrequency": {"name": "横向相对位置震荡频率", "average": 0.0, "max": 0.0, "min": 0.0, "range": "[0, 0.2]"}, "centerDistanceRange": {"name": "横向相对位置震荡极差", "average": 0.0, "max": 0.0, "min": 0.0, "range": "[0, 0.8]"}}, "builtin": {"laneDistance": {"name": "车道内偏移行驶时，与近侧车道线的横向距离", "data": [1.08], "markLine": ["0.9"]}, "centerDistanceFrequency": {"name": "横向相对位置震荡频率", "data": [0.0], "markLine": ["0.2"]}, "centerDistanceRange": {"name": "横向相对位置震荡极差", "data": [0.0], "markLine": ["0.8"]}}, "custom": {}, "description1": "车道内偏移行驶时，与近侧车道线的横向距离、横向相对位置震荡频率和横向相对位置震荡极差指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，车道内偏移行驶时，与近侧车道线的横向距离指标位于合理区间的占比为100.0%，横向相对位置震荡频率指标位于合理区间的占比为100.0%，横向相对位置震荡极差指标位于合理区间的占比为100.0%。"}, "functionICA": {"name": "ICA-0612", "score": 99.1, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"ica_speed_deviation_0612": {"name": "跟车速度偏差", "average": 18.17, "max": 18.17, "min": 18.17, "range": "[0, 20.0]"}, "ica_distance_deviation_0612": {"name": "跟车距离偏差", "average": 2.17, "max": 2.17, "min": 2.17, "range": "[0, 10.0]"}, "ica_stop_distance_0612": {"name": "跟停最短距离", "average": 16.54, "max": 16.54, "min": 16.54, "range": "[4.0, inf)"}, "ica_response_time_0612": {"name": "跟车启动响应时间", "average": "-", "max": "-", "min": "-", "range": "[0, 1.2]"}, "center_distance_expectation_0612": {"name": "车道中心线横向距离分布期望", "average": "-", "max": "-", "min": "-", "range": "[0, 0.5]"}, "center_distance_standard_deviation_0612": {"name": "车道中心线横向距离分布标准差", "average": "-", "max": "-", "min": "-", "range": "[0, 0.5]"}, "center_distance_max_0612": {"name": "车道中心线横向距离极大值", "average": 0.45, "max": 0.45, "min": 0.45, "range": "[0, 0.5]"}, "center_distance_min_0612": {"name": "车道中心线横向距离极小值", "average": "-", "max": "-", "min": "-", "range": "[0, 0.5]"}}, "builtin": {}, "custom": {"ica_speed_deviation_0612": {"name": "跟车速度偏差", "data": [18.17], "markLine": [20.0]}, "ica_distance_deviation_0612": {"name": "跟车距离偏差", "data": [2.17], "markLine": [10.0]}, "ica_stop_distance_0612": {"name": "跟停最短距离", "data": [16.54], "markLine": [4.0]}, "ica_response_time_0612": {"name": "跟车启动响应时间", "data": [], "markLine": [1.2]}, "center_distance_expectation_0612": {"name": "车道中心线横向距离分布期望", "data": [], "markLine": [0.5]}, "center_distance_standard_deviation_0612": {"name": "车道中心线横向距离分布标准差", "data": [], "markLine": [0.5]}, "center_distance_max_0612": {"name": "车道中心线横向距离极大值", "data": [0.45], "markLine": [0.5]}, "center_distance_min_0612": {"name": "车道中心线横向距离极小值", "data": [], "markLine": [0.5]}}, "description1": "跟车速度偏差、跟车距离偏差、跟停最短距离、跟车启动响应时间、车道中心线横向距离分布期望、车道中心线横向距离分布标准差、车道中心线横向距离极大值和车道中心线横向距离极小值指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，跟车速度偏差指标位于合理区间的占比为100.0%，跟车距离偏差指标位于合理区间的占比为100.0%，跟停最短距离指标位于合理区间的占比为100.0%，跟车启动响应时间指标位于合理区间的占比为100%，车道中心线横向距离分布期望指标位于合理区间的占比为100%，车道中心线横向距离分布标准差指标位于合理区间的占比为100%，车道中心线横向距离极大值指标位于合理区间的占比为100.0%，车道中心线横向距离极小值指标位于合理区间的占比为100%。"}}, "description1": "算法在LKA和ICA-0612上表现优秀；", "description2": "算法在LKA和ICA-0612功能上的表现满足设计指标要求。"}, "safe": {"name": "安全性", "weight": "20.0%", "noObjectCar": false, "score": 98.28, "level": "优秀", "scoreList": [80, 98.38], "levelDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "details": {"safeDistance": {"name": "距离类型", "score": 88.72, "level": "良好", "gradeDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "indexes": {"LonSD": {"name": "LonSD", "average": 1.74, "max": 1.74, "min": 1.74, "rate": "0.0%", "range": "[1, inf)"}, "LatSD": {"name": "LatSD", "average": 3.2, "max": 3.2, "min": 3.2, "rate": "0.0%", "range": "[1, inf)"}}, "builtin": {"LonSD": {"name": "LonSD", "data": [1.74], "markLine": ["1"]}, "LatSD": {"name": "LatSD", "data": [3.2], "markLine": ["1"]}}, "custom": {}, "description1": "LonSD和LatSD指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，LonSD指标位于合理区间的占比为100.0%，LatSD指标位于合理区间的占比为100.0%。"}, "safeTime": {"name": "时间类型", "score": 87.64, "level": "良好", "gradeDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "indexes": {"TTC": {"name": "TTC", "average": 3.76, "max": 3.76, "min": 3.76, "rate": "0.0%", "range": "[2.86, inf)"}, "MTTC": {"name": "MTTC", "average": 0.32, "max": 0.32, "min": 0.32, "rate": "0.0%", "range": "[0.3, inf)"}, "THW": {"name": "THW", "average": 2.98, "max": 2.98, "min": 2.98, "rate": "0.0%", "range": "[0.4, inf)"}}, "builtin": {"TTC": {"name": "TTC", "data": [3.76], "markLine": ["2.86"]}, "MTTC": {"name": "MTTC", "data": [0.32], "markLine": ["0.3"]}, "THW": {"name": "THW", "data": [2.98], "markLine": ["0.4"]}}, "custom": {}, "description1": "TTC、MTTC和THW指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，TTC指标位于合理区间的占比为100.0%，MTTC指标位于合理区间的占比为100.0%，THW指标位于合理区间的占比为100.0%。"}, "safeProbability": {"name": "概率类型", "score": 90.0, "level": "优秀", "gradeDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "indexes": {"collisionRisk": {"name": "碰撞风险概率", "average": 0.35, "max": 0.35, "min": 0.35, "rate": "0.0%", "range": "[0, 10]"}, "collisionSeverity": {"name": "碰撞严重程度", "average": 0.48, "max": 0.48, "min": 0.48, "rate": "0.0%", "range": "[0, 10]"}}, "builtin": {"collisionRisk": {"name": "碰撞风险概率", "data": [0.35], "markLine": ["10"]}, "collisionSeverity": {"name": "碰撞严重程度", "data": [0.48], "markLine": ["10"]}}, "custom": {}, "description1": "碰撞风险概率和碰撞严重程度指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，碰撞风险概率指标位于合理区间的占比为100.0%，碰撞严重程度指标位于合理区间的占比为100.0%。"}, "safeAcceleration": {"name": "加速度类型", "score": 90.0, "level": "优秀", "gradeDistribution": {"优秀": 50, "良好": 50, "一般": 0, "较差": 0}, "indexes": {"DRAC": {"name": "DRAC", "average": 1.7, "max": 1.7, "min": 1.7, "rate": "0.0%", "range": "[0, 10]"}, "BTN": {"name": "BTN", "average": 1.08, "max": 1.08, "min": 1.08, "rate": "0.0%", "range": "[0, 10]"}, "STN": {"name": "STN", "average": 1.31, "max": 1.31, "min": 1.31, "rate": "0.0%", "range": "[0, 10]"}}, "builtin": {"DRAC": {"name": "DRAC", "data": [1.7], "markLine": ["10"]}, "BTN": {"name": "BTN", "data": [1.08], "markLine": ["10"]}, "STN": {"name": "STN", "data": [1.31], "markLine": ["10"]}}, "custom": {}, "description1": "DRAC、BTN和STN指标表现良好，平均值在合理范围内且不存在不合格用例；。", "description2": "经计算可知，DRAC指标位于合理区间的占比为100.0%，BTN指标位于合理区间的占比为100.0%，STN指标位于合理区间的占比为100.0%。"}}, "description1": "车辆在本轮测试中无碰撞风险；", "description2": "算法在安全性维度上的表现满足设计指标要求。"}, "comfort": {"name": "舒适性", "weight": "20.0%", "score": 100.0, "level": "优秀", "scoreList": [100, 100], "levelDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "details": {"comfortLat": {"name": "横向舒适性", "score": 100.0, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"zigzag": {"name": "画龙", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}, "shake": {"name": "晃动", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}}, "builtin": {"zigzag": {"name": "画龙", "data": [100.0, 100.0]}, "shake": {"name": "晃动", "data": [100.0, 100.0]}}, "custom": {}, "description1": "画龙和晃动指标最低分超过设计指标要求，算法在2个用例中均表现良好；。", "description2": "经计算可知，算法在画龙指标上表现良好的概率为100.0%，在晃动指标上表现良好的概率为100.0%。"}, "comfortLon": {"name": "纵向舒适性", "score": 100.0, "level": "优秀", "gradeDistribution": {"优秀": 100, "良好": 0, "一般": 0, "较差": 0}, "indexes": {"cadence": {"name": "顿挫", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}, "slamBrake": {"name": "急刹", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}, "slamAccelerate": {"name": "急加速", "avgScore": 100.0, "maxScore": 100.0, "minScore": 100.0, "avgNumber": "0.00", "avgDuration": "0.00", "avgStrength": "0.00"}}, "builtin": {"cadence": {"name": "顿挫", "data": [100.0, 100.0]}, "slamBrake": {"name": "急刹", "data": [100.0, 100.0]}, "slamAccelerate": {"name": "急加速", "data": [100.0, 100.0]}}, "custom": {}, "description1": "顿挫、急刹和急加速指标最低分超过设计指标要求，算法在2个用例中均表现良好；。", "description2": "经计算可知，算法在顿挫指标上表现良好的概率为100.0%，在急刹指标上表现良好的概率为100.0%，在急加速指标上表现良好的概率为100.0%。"}}, "description1": "乘客在本轮测试中体验舒适；", "description2": "算法在舒适性维度上的表现满足设计指标要求"}}, "algorithmResultDescription": "综上所述，算法在各个维度的表现俱佳。"}