Configurable virtual traffic detection system under predictive signal states

    公开(公告)号:US10733883B1

    公开(公告)日:2020-08-04

    申请号:US16449064

    申请日:2019-06-21

    Abstract: Computer-implemented predictions of upcoming traffic control signal states or state changes can be used to improve convenience, safety, and fuel economy. Such information can be used advantageously by a human operator, or by an autonomous or semi-autonomous vehicle control system. User (for example, driver) requests for a signal change may be implemented in traffic control systems, with all due care. User requests are validated and compared to traffic signal state change predictions. Only when appropriate conditions are met, the user request is used to generate a “synthetic call” to the applicable traffic signal controller (TSC). The new synthetic call substitutes for the usual call signal which arises from a fixed physical hardware detection system such as an inductive loop in the pavement.

    Using connected vehicle data to optimize traffic signal timing plans

    公开(公告)号:US10559201B1

    公开(公告)日:2020-02-11

    申请号:US16268352

    申请日:2019-02-05

    Abstract: A fleet of vehicles (“connected vehicles”) are equipped to wirelessly transmit data in real time, the data including at least an identifier of the vehicle, a GPS location, and a timestamp. Preferably, messages may be sent from the vehicles approximately once per second. This “probe data” from operating vehicles is analyzed to assemble vehicle operation data over a collection period of say, a few weeks. The data is analyzed for a specific signalized intersection. In an embodiment, a preferred process is to leverage the connected vehicle probe data to figure out the traffic volume for a target time period and location, and then optimize the corresponding timing plan for that time period for the subject signal/lane/phase. Target time periods may be on the order of 15 minutes, 30 minutes or an hour, although the exact time period is not critical.

    HYBRID DISTRIBUTED PREDICTION OF TRAFFIC SIGNAL STATE CHANGES
    9.
    发明申请
    HYBRID DISTRIBUTED PREDICTION OF TRAFFIC SIGNAL STATE CHANGES 有权
    交通信号状态变化的混合分布预测

    公开(公告)号:US20160284215A1

    公开(公告)日:2016-09-29

    申请号:US15179850

    申请日:2016-06-10

    Abstract: Computer-implemented predictions of upcoming traffic control signal states or state changes can be used to improve driver convenience, safety, and fuel economy. Such information can be used advantageously by a human operator, or by an autonomous or semi-autonomous vehicle control system. Predictions can be computed with suitable machines installed in a vehicle, in cooperation with a remote back-end server system. The prediction computations in the vehicle may be supported by data communicated to the vehicle computing machinery over various wireless communications, including telecom systems, DSRC, etc.

    Abstract translation: 计算机实现的即将到来的交通控制信号状态或状态变化的预测可用于提高驾驶员的便利性,安全性和燃油经济性。 这样的信息可以由人类操作者或自主或半自主的车辆控制系统有利地使用。 可以通过与远程后端服务器系统配合来安装在车辆中的合适的机器来计算预测。 车辆中的预测计算可以由通过各种无线通信(包括电信系统,DSRC等)传送给车辆计算机的数据来支持。

Patent Agency Ranking