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Network Analysis of Road Traffic Crash and Rescue Operations in Federal Capital City
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作者 Mamman Saba Jibril David Sesugh Aule +1 位作者 Badiatu Danladi Garba Taye Oluwafemi Adewuyi 《International Journal of Geosciences》 CAS 2023年第1期36-51,共16页
Abuja is witnessing an upsurge of victims from Road Traffic Crash (RTC) which is mostly due to the attendant rapid increase in the volume of vehicles, traffic jams, bad driving, over speeding, insufficient road signs ... Abuja is witnessing an upsurge of victims from Road Traffic Crash (RTC) which is mostly due to the attendant rapid increase in the volume of vehicles, traffic jams, bad driving, over speeding, insufficient road signs and bad conditions of vehicles that ply the roads. The problem is compounded by a lack of early emergency response. Geographic Information System (GIS) based travel time model was applied in the street network analysis to identify RTC black spots that are outside the close reach of Federal Road Safety Commission (FRSC) rescue points/health facilities in Federal Capital City (FCC). Five minutes, Ten minutes and Fifteen minutes travel times were used as the impedance factor. Remote Sensing and GIS techniques were used to carry out network analysis. This was achieved by conducting the closest facility operation in the ArcGIS network analyst extension using the time of travel from each FRSC zebra point location to the RTC black spot zones/health facility. The results were presented on road network maps and bar graphs. The areas where quick response and medical facilities are insufficient were identified. It was concluded that the available health centres can sufficiently service RTC black spots in FCC, but the FRSC zebra points are insufficient which renders rescue operations inefficient and thereby exposes RTC victims to more danger. In order to ensure that there is sufficient coverage for response times, it was suggested that additional zebra points be created. 展开更多
关键词 Network Analysis Health Facilities zebra points RTC GIS FCC Remote Sensing
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The Spatial Patterns of Road Traffic Crash Black Spots and Emergency Facilities in Federal Capital City
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作者 Mamman Saba Jibril David Sesugh Aule Badiatu Danladi Garba 《Journal of Geoscience and Environment Protection》 2023年第2期121-134,共14页
This study aimed at determining the spatial patterns of Road Traffic Crash (RTC) black spots, Federal Road Safety Commission (FRSC) zebra points and emergency health care facilities in Federal Capital City (FCC). The ... This study aimed at determining the spatial patterns of Road Traffic Crash (RTC) black spots, Federal Road Safety Commission (FRSC) zebra points and emergency health care facilities in Federal Capital City (FCC). The aim was to provide stakeholders with information that will aid their understanding of accident prone locations and accessible rescue possibilities for accident victims on the roads in FCT. GPS Map 76S Mark (GARMIN) was used to locate and pick coordinates of data in the study area. A total of 16 possible emergency health care facilities, seventy (70) RTC black spots and Five Zebra point locations were obtained from FRSC. ArcGIS 10.0 was used to compute the data by plotting the coordinates to produce maps of the spatial relationship and to carry out Nearest Neighbour Analysis (NNA). The result was further used to determine the spatial patterns of RTC black spots as well as patterns of the emergency facilities. Generally, the result shows that the spatial trend is turning towards dispersion. However, there is less than 1% likelihood that the dispersed patterns could be the result of random chance. It was recommended that, the Federal Road Safety Commission should be staffed with trained professionals that can be responsible for accident data surveillance and analysis using geospatial techniques. 展开更多
关键词 ACCIDENT Black Spot EMERGENCY Pattern Spatial zebra point
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车载激光点云斑马线提取方法研究
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作者 王耀 赵静 周琳 《黑龙江科学》 2024年第4期62-65,69,共5页
针对城市道路斑马线测量困难、既有基于点云数据识别提取斑马线方法存在较多弊端的问题,以车载激光扫描点云数据为基础,利用车载扫描系统点云扫描线对斑马线角点提取算法进行优化设计,通过OTSU算法分离斑马线点云,分别采用“扫描线数量... 针对城市道路斑马线测量困难、既有基于点云数据识别提取斑马线方法存在较多弊端的问题,以车载激光扫描点云数据为基础,利用车载扫描系统点云扫描线对斑马线角点提取算法进行优化设计,通过OTSU算法分离斑马线点云,分别采用“扫描线数量-水平距离”频率分布直方图、移动判别窗口,结合RANSAC算法对斑马线长短边进行提取作业,通过斑马线长短边几何关系对斑马线角点坐标进行精确提取,依托实际工程项目对算法提取准确性进行分析验证,将斑马线角点提取结果与人工实测数据进行对比分析,通过中误差和距离均方根误差综合验证了斑马线角点提取算法的可靠性,为城市运营道路斑马线、标示线等道路特征线快速采集更新提供了新型技术方法。 展开更多
关键词 点云数据 斑马线角点 直线拟合 扫描线
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一种车载激光点云中斑马线角点提取算法
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作者 朱二巧 《遥感信息》 CSCD 北大核心 2021年第2期59-63,共5页
斑马线是城市管理与建设的重要基础设施,斑马线的自动识别与提取在城市基础地理信息更新中具有重要意义。针对人工测定斑马线角点效率低下的问题,以车载激光扫描点云数据为研究对象,提出了一种基于点云扫描线的斑马线角点自动提取算法... 斑马线是城市管理与建设的重要基础设施,斑马线的自动识别与提取在城市基础地理信息更新中具有重要意义。针对人工测定斑马线角点效率低下的问题,以车载激光扫描点云数据为研究对象,提出了一种基于点云扫描线的斑马线角点自动提取算法。首先,基于人机交互方式提取目标点云,结合OTSU算法计算最优点云回波反射强度二值化分割阈值,初步分离出斑马线点云;其次,以扫描线为研究单元,采用直方图统计分析方法筛选位于斑马线长边边缘处的若干点,对其进行RANSAC直线拟合,获取长边直线方程;然后,创建移动窗口对扫描线进行动态检索并设置相应的判别条件,获取斑马线短边直线方程;最后,根据斑马线的矩形特征实现斑马线角点的精细提取。与传统人工测量方式相比,该算法具有提取精度高和计算时间少的优点。 展开更多
关键词 点云 扫描线 斑马线 角点提取 直线拟合
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