ADAPTIVE TRAFFIC MANAGEMENT SYSTEM

Abstract

An adaptive traffic management system includes a plurality of traffic lights positioned at a plurality of roadway intersections. Associated with each intersection is one or more sensors to detect traffic flow. A control system is connected to the traffic lights and the sensors and based upon data received and predetermined weights for various situations generates a signal timing plan that operates the traffic lights. The control system also may be connected to multiple sources, wearables, and/or in-vehicle sensors that are also used to generate the signal timing plan and operate the traffic lights.

Claims

1. An adaptive traffic management system, comprising: a plurality of traffic lights positioned at a plurality of roadway intersections; at least one sensor associated with each of the plurality of roadway intersections to detect traffic flow; a control system connected to the plurality of traffic lights and the at least one sensor; wherein, based upon the information received from the at least one sensor and predetermined weights for multiple situations, the control system generates a signal timing plan and operates the plurality of traffic lights based upon the signal timing plan.

2. The system of claim 1 wherein the signal timing plan is further based upon information from multiple sources that are connected to the control system.

3. The system of claim 1 wherein the signal timing plan is further based upon wearables that are in proximity to a given one of the plurality of roadway intersections and connected to the control system.

4. The system of claim 1 wherein the signal timing plan is further based upon in-vehicle sensors that are in proximity to a given one of the plurality of roadway intersections and connected to the control system.

5. The system of claim 1 further comprising a plurality of modes of operation that include default weights.

6. The system of claim 1 wherein the control system determines and provides route-guidance to a vehicle to minimize traffic stress.

7. The system of claim 1 wherein the control system uses artificial intelligence.

8. The system of claim 1 wherein the control system uses traffic theory principles.

Description

BRIEF DESCRIPTION OF THE DRAWINGS

[0015] FIG. 1 is a schematic view of an adaptive traffic signal control system;

[0016] FIG. 2 is a plan view of a signal timing plan;

[0017] FIG. 3 is a plan view of a signal timing plan; and

[0018] FIG. 4 is a plan view of a signal timing plan.

DETAILED DESCRIPTION OF THE PREFERRED EMBODIMENTS

[0019] Referring to the Figures, an adaptive traffic management system 10 includes a plurality of traffic lights 12 positioned at a plurality of roadway intersections. Associated with each intersection is one or more sensors 14 to detect traffic flow. The sensors 14 include, but are not limited to cameras, inductive loop detectors, radars, magnetometers, motion sensors, radio frequency identification (RFID), E-Z pass tag, or the like.

[0020] In addition to the sensors 14, data is automatically collected from multiple sources 33 and used by a control system 16 to estimate change of traffic demand and quality of operations at an intersection. Examples of the multiple sources 33 include weather predictions/reports in the region, twitter feeds talking about an upcoming event, and complaint logs that explain a problem faced by commuters.

[0021] Both the traffic lights 12 and sensors 14 are connected to the control system 16 to a traffic management control center 18. The control system 16 includes a processor 20, software 22, memory 24, a display 26, and an input device 28. The control system 16 could also be connected to wearables 30 and/or in-vehicle sensors 32 that are in proximity of a given signalized intersection.

[0022] Using the software 22 of the input device 28, a technician 34 enters weights 36, for problems/situations 38 that exist in the system 10 to generate a signal timing plan 39. The weights 36, for problems/situations 38 are of any type. In one example, at one intersection a side street delay may be given a cost per vehicle weight of 0.2 $/vehicle and a main street delay given a weight of 0.5 $/vehicle. These values can be changed by the technician. These values can also be converted into more understandable classes such as high, medium, and low dial that can be operated by the technician. In another example, the weight 36 is a function, such as a step function where based on rules/criteria weights 36 are changed by the system 10 at different levels. In yet another example, weights 36 are changed spatially, temporally, by specific times, and/or events. More specifically, a higher weight 36 is given for delays on a busy side street and a lower weight 36 to a rarely used side street, or different weights 36 assigned for morning peak, afternoon peak, late night, or events such as sporting events or concerts.

[0023] The system 10 also has several modes 40 of operation. The modes 40 are of any type and have default weights 36 that promote the mode's objective. Examples of modes 40 include, but are not limited to, a mode to minimize public complaints, another to promote emission minimization, one to handle special events, incidents, weather, and the like.

[0024] Another mode 40 example is to promote a minimization in driver stress. For this mode 40, through the wearable 30 and/or vehicle sensor 32 a driver's heart rate, galvanic skin-conductance and other physiological parameters are transmitted to the control system 16. Based upon analysis, weights are assigned for different areas such as at an intersection based on a detected stress/anxiety level. In this mode both long-term observation of stress/anxiety at intersections will be used to associate a weight 36 for optimization and real-time measurements are used for short term adaptations. Default weights for all modes 40 are calculated by the control system using data from multiple sources and not just from sensors present near an intersection.

[0025] Based upon the weights 36 assigned by the technician 34 and/or the default weights 36 calculated by the control system 16, the control system 16 operates the traffic lights 12. In addition to controlling the traffic lights 12, the control system 16 determines and provides route-guidance 42 derived from data to minimize motorized and non-motorized traffic stress. The route-guidance 42 for minimal stress routes are provided through a stand-alone mobile application or used as a stream consumed by existing route-guidance services.

[0026] While technicians 34 assign weights 36, the control system 16 also uses artificial intelligence and traffic theory principles to generate signal timing plans 39, default weights 36 for modes 40, and route-guidance 42.

[0027] From the above discussion and accompanying figures and claims it will be appreciated that the adaptive traffic control system 10 offers many advantages over the prior art. It will be appreciated further by those skilled in the art that other various modifications could be made to the device without parting from the spirit and scope of this invention. All such modifications and changes fall within the scope of the claims and are intended to be covered thereby. It should be understood that the examples and embodiments described herein are for illustrative purposes only and that various modifications or changes in the light thereof will be suggested to persons skilled in the art and are to be included in the spirit and purview of this application.