机译:通过使用Google Street View众包公交车站地标位置来改善盲人的公共交通可达性:扩展分析
Department of Computer Science, University of Maryland, College Park, 20742 MD;
Jacobs Technion-Cornell Institute, Cornell Tech, 111 8th Ave. New York NY 10011;
Computer Science Department, University of Washington, 185 W Stevens Way NE, Seattle, WA 98195;
Computer Science Department, University of Washington, 185 W Stevens Way NE, Seattle, WA 98195;
Department of Computer Science, University of Maryland, College Park, 20742 MD;
Department of Computer Science, University of Maryland, College Park, 20742 MD;
Department of Computer Science, University of Maryland, College Park, 20742 MD;
Computer Science Department, University of Washington, 185 W Stevens Way NE, Seattle, WA 98195;
Computer Science Department, University of Washington, 185 W Stevens Way NE, Seattle, WA 98195;
Department of Computer Science, University of Maryland, College Park, 20742 MD;
Crowdsourcing accessibility; accessible bus stops; Google Street View; Mechanical Turk; low-vision and blind users; remote data collection; bus stop auditing;
机译:衡量新公共交通服务对时空可访问性的影响:俄亥俄州哥伦布跨境系统重新设计及新巴士快速交通分析
机译:中国特大城市外围移民区的公交状况如何?中国上海周边大型居民区的俘虏运输车手和动态模态可及性差距分析
机译:扩展公共交通可达性模型以识别交通位置
机译:StopFinder:通过众包改善盲人公共交通乘客的体验
机译:公共空间,公共交通和盲人的可达性:俄勒冈州波特兰市必须教给我们什么。
机译:使用深度学习来识别带有横臂的公用事业杆并根据Google Street View图像估算其位置
机译:通过谷歌街景观众包公交车站标志性地点,改善盲人乘客的公共交通可达性
机译:利用基于网络的乘客反馈改善公共交通服务。过境合作研究计划TRCp 179。