CityDrive: A map-generating and speed-optimizing driving system
CityDrive: A map-generating and speed-optimizing driving system
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DOI：
10.1109/infocom.2014.6848139
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发表时间：
2014-07
期刊：
影响因子：
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通讯作者：
Yiran Zhao;Yang Zhang;Tuo Yu;Tianyuan Liu;Xinbing Wang;Xiaohua Tian;Xue Liu
中科院分区：
文献类型：
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作者：
Yiran Zhao;Yang Zhang;Tuo Yu;Tianyuan Liu;Xinbing Wang;Xiaohua Tian;Xue Liu
在地球仪上已经有许多交通灯控制系统，但是基础设施和维护的高成本阻碍了它们的广泛部署。然而，由车载设备实现的速度咨询系统要便宜得多，也更容易部署。这类系统面临的第一个挑战是获取复杂交叉口的交通信号时刻表。第二个挑战是获取地图信息并计算距离。面对这些挑战，我们设计并实施了一个名为CityDrive的速度咨询驾驶系统，该系统利用智能手机广泛参与的传感器和GPS数据，为驾驶员提供适当的速度建议，以便他们在绿色阶段到达十字路口。CityDrive首先生成一个道路地图，然后推断交通信号时间表，只使用智能手机和服务器。CityDrive并没有消除交叉路口的停车，但它试图最大限度地提高车辆在绿色阶段巡航通过交叉路口的概率。仿真和真实的测试均表明，这种连续的速度咨询服务有效地平滑了交通流，并显著降低了能耗。
There have been many traffic light control systems around the globe, but the high cost of infrastructure and maintenance hinders their wide deployment. However, speed-advisory systems enabled by on-vehicle devices are much cheaper and easier to deploy. The first challenge of such systems is to get the traffic signal schedule in complex intersections. The second challenge is to get map information and calculate the distance. Facing these challenges we devise and implement a speed-advisory driving system called CityDrive, which harnesses the sensor and GPS data from a wide participation of smartphones to suggest proper speed for drivers so that they arrive at intersections in green phase. CityDrive first generates a road map and then infers traffic signal schedules, using only smartphones and a server. CityDrive does not eliminate stops at intersections, but it tries to maximize the probability that vehicles cruise through intersections in green phase. Both simulation and real test show that this continuous speed advisory service effectively smoothes traffic flow and significantly reduces energy consumption.