Robust Crowdsensing for Intelligent Road Services

智能交通系统(ITS)的成功依赖于它们为司机和市政当局提供准确的实时信息的能力。在由司机更新交通拥堵信息的导航系统中，众包已被证明是有效的。用于智能道路服务的强大的路面感测提供了一个框架，用于收集基于人群的信息，监测路况和危险；以及基于司机的信息，包括驾驶风格、偏好、技能和经验，以建立具有代表性的司机档案。我们建议的系统iDriveSense集成了车辆和驾驶员智能手机中可用的传感器技术，以提供先进、强大的定位和对车辆动态和驾驶员行为的准确监控。健壮性是通过在两个级别上进行校准和交叉引用来实现的：驱动程序级别和云多驱动程序级别。四名博士生和四名硕士研究生将接受全面的培训，在那里，司机以及汽车制造和软件行业的需求不断增长。通过在Android和iOS平台下设计和实现移动应用程序、实时嵌入式系统设计、硬件集成和软件开发的实践经验，将获得智能交通、道路监控、驾驶员档案建立、GPS和惯性导航等技术方面的专业知识。对更安全道路的需求在加拿大和全球范围内都产生了对这种技能的需求。我们的研究团队包括我们的工业合作伙伴、安大略省滑铁卢的智能机电系统公司(IMS)的专业知识。IMS已经成为开发iLane®和DriveSync®等车载互联汽车解决方案的世界领先者。我们的研究将通过启用基于可达性和条件的道路标签并提供个性化警报来改善加拿大道路上的所有司机的道路安全，从而减少道路拥堵和交通事故。

The success of intelligent transportation systems (ITS) relies on their ability to provide drivers and municipalities with accurate real-time information. Crowdsourcing has been shown effective in navigation systems where traffic congestion information is updated by drivers. Robust Crowdsensing for Intelligent Road Services presents a framework to collect crowd-based information, monitoring road conditions and hazards; and, driver-based information, including driving style, preferences, skills and experience, to build representative driver profiles. Our proposed system, iDriveSense, integrates sensor technologies available in both the vehicles and the driver smartphones to provide advanced, robust localization and accurate monitoring of vehicle dynamics and driver behaviour. Robustness is achieved through calibration and cross-referencing on two levels: a driver level and a cloud multi-driver level. Four PhD and four MSc students will receive comprehensive training where there is increasing demand from drivers and from the automobile manufacturing and software sectors. Expertise in the technologies of intelligent transportation, road monitoring, driver profile building, GPS and inertial navigation will be gained through hands-on experience in designing and realizing mobile applications under Android and iOS platforms, real-time embedded system design, hardware integration and software development. The necessity for safer roads has created a demand for this skill-set both in Canada and globally. Our research team includes the expertise of our industrial partner, Intelligent Mechatronic Systems Inc. (IMS) of Waterloo, ON. IMS has emerged as a world leader in developing in-vehicle connected-car solutions like iLane® and DriveSync®.Our research will reduce congestion and accidents on roads by enabling road labeling based on accessibility and conditions and providing personalized alerts to improve road safety for all drivers on Canadian roads.