I-Corps: Mobile Life Guard

越来越多的车载娱乐和智能手机(短信、聊天、音乐、视频)的使用增加了司机的分心程度，给道路安全带来了新的挑战。但是，人们相信，手机也可以通过感知、分享和向其他司机提供反馈来帮助改善道路安全。首先，三个安全因素有助于道路上的安全：司机、车辆和道路。正在申请专利的Mobile Life Guard在一款全面的产品中包含了所有这些类别。拟议的产品涉及移动智能手机与其传感器之间的交互，以及用于评估当前驾驶员行为和车辆数据的OBD-II设备。移动救生卫士(MLG)系统使用智能手机上提供的最低限度的信息和功能，实现了一套关于司机、车辆、环境和交通状况的安全信息传输，在车辆到操作员和车辆到车辆的模式下；该团队最初计划在手机中使用Android操作系统，在车辆中使用IBDII端口。目前，该团队已经开发了几个多维安全评分，以量化驾驶行为和路况。拟议中的产品寻求通过智能手机实现其中一些具有较软时效性要求的应用程序(例如，前方交通缓慢或前方车辆滞留警告)，而不需要部署车载基础设施。当消费者开车时，手机可以感知并与附近的司机分享驾驶概况、车辆功能和基础设施状况(例如道路、天气)。特别是，以前的研究是关于如何通过手机将路况和危险传达给邻近的司机的技术(例如，告诉后面的司机因为减速带现在减速)。基于各种智能手机应用程序的部署，虽然让用户下载应用程序相对容易，但很难保持长期运行该应用程序和共享数据的兴趣。拟议的i-Corps项目的一个主要目标是确定最初具有最高市场开发和渗透潜力的能力的子集。最初的目标客户群是老年和青少年司机。I-Corps团队计划直接从以下各方收到反馈：i)交通行业合作伙伴，ii)公路安全保险协会(IIHS)的代表，以及iii)为汽车制造商提供系统的一流系统供应商。新的车载视听技术(开放式API)的引入、通过OBDII获取车辆信息以及智能手机中的多个传感器的引入，为提高道路安全创造了海平面的机会。该团队计划使用车辆和手机的试验台来有效和准确地测量司机的行为，并确定可能的改进措施。总而言之，智能优点是：i)使用移动电话和OBDII对驾驶员状态进行实时建模，ii)向邻近车辆实时明确地通知和警报，iii)为驾驶员提供实时指导，以实现最佳油耗、节能定位和速度跟踪，iv)主动预测有关车辆状况、路况、危险和结构的信息，最后v)性能分析和驾驶员在回路中的新指标。为了实现上述目标，拟议的产品要求计算机科学、机械工程、土木工程、电气工程、神经科学和通信研究之间的跨学科合作。

The increased use of in-vehicle entertainment and smart phones (texting, talking, music, videos) increases the level of distraction of drivers and introduce new challenges for safety on the road. But, it is believed that mobile phones can also help improve road safety by sensing, sharing, and providing feedback to fellow drivers. Three first order, safety factors contribute to safety on the road: the driver, the vehicle, and the road. Mobile Life Guard, patent pending, includes all these categories in a comprehensive product. The proposed product involves the interaction between a mobile smartphone and its sensors, and an OBD-II device to assess current driver behavior and vehicle data. The Mobile Life Guard (MLG) system enables a suite of capabilities for safe information transfer on driver, vehicle, environment and traffic conditions in a vehicle-to-operator and vehicle-to-vehicle mode using minimum information and capabilities available on smartphones; initially the team plans to use the Android operating system in the phone and IBDII port in the vehicle. Currently the team has developed several multi-dimensional safety scores quantifying driving behavior and road conditions. The proposed product seeks to enable some of these applications with softer timeliness requirements (e.g., 'slow traffic ahead' or 'stranded vehicle ahead' warnings) through smartphones -- without the need to deploy in-vehicle infrastructure. As consumers drive around, the phone can sense and share the driving profile, vehicle functions, and infrastructure conditions (e.g., road, weather) with nearby drivers. In particular, previous research resulted on techniques on how the road conditions and hazards can be communicated by the cell phone to the neighboring drivers (e.g., tell the driver behind that slowing down now because of a speed bump). Based on the deployment of various smartphone applications, while it is relatively easy to have users download an application, it is difficult to sustain the interest in running the application over a long period of time and share the data. A primary goal of the proposed I-Corps project is to identify the subsets of the capabilities that initially have the highest potential for market development and penetration. Initial target customer groups are elderly and teenage drivers. I-Corps team plans to receive feedback directly with: i) transportation industry partners, ii) representatives from Insurance Institute for Highway Safety (IIHS) and iii) first-tier system suppliers that provide systems for vehicle manufacturers.The introduction of new in-vehicle audio and visual technologies (open APIs), access to vehicle information through OBDII and multiple sensors in smart phones creates sea-level opportunities for improving the safety on the road. The team plans to use a test bed of vehicles and mobile phones to effectively and accurately measure driver behavior and identify possible improvements. In summary, the intellectual merit components are: i) Real-time driver state modeling using mobile phones and OBDII, ii) Real-time unambiguous notifications and alerts to the neighboring vehicles iii) Real-time guidance to the driver for optimal fuel consumption, energy-efficient localization, and speed tracking, iv) Proactively predicting information about vehicle-condition, road-condition, hazards and construction, and finally v) Performance analysis and new metrics for driver-in-the-loop. To achieve the above objectives, the proposed product calls for interdisciplinary work among computer science, mechanical engineering, civil engineering, electrical engineering, neuroscience and communication studies.