Abstract: A traffic management system for multi-lane roads that manages all traffic on dedicated lanes to achieve much higher rates of traffic flow compared to existing freeways. Managed lanes consist entirely of platoons of autonomous vehicles that have a regular, repeating structure. Intra-platoon and inter-platoon spacing is tightly controlled to increase vehicle density. Vehicle speeds differ on different lanes, which greatly simplifies lane changes since vehicles can wait until an open slot on an adjacent lane lines up with the vehicle before changing lanes, thereby eliminating traffic disruption. Trucks may be allowed only on certain lanes, so that cars-only lanes can move at higher speeds with tighter vehicle packing. Platoons in each lane consist of a fixed number of slots of fixed length; vehicles may occupy one or more slots. An unmanaged lane is reserved for manually drive vehicles and for vehicles entering and exiting the road.

Abstract: A method of managing traffic lights that generates waves of unimpeded traffic in both directions of a roadway. The roadway is divided into an even number of zones of equal length, which are divided into two groups of alternating zones. A traffic speed and a traffic light duration are selected so that the zone length equals the traffic speed times the light duration. Initially all lights in all zones of one group are set to green, and all lights in all zones of the other group are set to red; then lights are switched in the next cycle to red for the first group and green for the other group. This pattern repeats. The arrangement of alternating zones and the relationship between zone length, speed, and light duration allows vehicles moving in either direction at the specified speed to encounter only green lights, enabling dramatic reductions in travel time.

Abstract: A method of managing traffic lights that generates waves of unimpeded traffic in both directions of a roadway. The roadway is divided into an even number of zones of equal length, which are divided into two groups of alternating zones. A traffic speed and a traffic light duration are selected so that the zone length equals the traffic speed times the light duration. Initially all lights in all zones of one group are set to green, and all lights in all zones of the other group are set to red; then lights are switched in the next cycle to red for the first group and green for the other group. This pattern repeats. The arrangement of alternating zones and the relationship between zone length, speed, and light duration allows vehicles moving in either direction at the specified speed to encounter only green lights, enabling dramatic reductions in travel time.

Abstract: A traffic management system for multi-lane roads that manages all traffic on dedicated lanes to achieve much higher rates of traffic flow compared to existing freeways. Managed lanes consist entirely of platoons of autonomous vehicles that have a regular, repeating structure. Intra-platoon and inter-platoon spacing is tightly controlled to increase vehicle density. Vehicle speeds differ on different lanes, which greatly simplifies lane changes since vehicles can wait until an open slot on an adjacent lane lines up with the vehicle before changing lanes, thereby eliminating traffic disruption. Trucks may be allowed only on certain lanes, so that cars-only lanes can move at higher speeds with tighter vehicle packing. Platoons in each lane consist of a fixed number of slots of fixed length; vehicles may occupy one or more slots. An unmanaged lane is reserved for manually drive vehicles and for vehicles entering and exiting the road.

Abstract: A traffic management system that assigns vehicles to lanes of a multi-lane road based on a measured driver comfort level (DCL) factor associated with each vehicle that reflects how comfortable the vehicle's driver is with shorter following distances at high speeds. An illustrative DCL may be defined as the square of the vehicle's velocity divided by the inter-vehicle spacing. By preventing high DCL drivers from mixing with low DCL drivers on the same lane, the system improves traffic flow and stability and reduces the likelihood of traffic jams. The system may obtain vehicle velocity and following distance data from vehicle sensors and use this data to calculate a vehicle's DCL. When a vehicle enters a roadway managed by the system, the system obtains the vehicle's DCL and transmit a message to the vehicle's navigation system to guide the vehicle to the desired lane.

Abstract: A situational awareness analysis and fatigue management system including a processor that receives input data from a user, generates a set of algorithms from the input data, calculates outputs of each of the set of algorithms, and generates and displays a dynamic assessment situational awareness (DASA) diagram of the user as a function of situational awareness performance and wakefulness hours of the user from the calculated output. Using the DASA diagram, the processor identifies situational awareness longevity conditions of the user to perform a task, forecasts advanced fatigue conditions of the user based on the identified situational awareness longevity conditions and identifies improvements of situational awareness performance of the user to perform the task. The processor displays the identified situational awareness longevity conditions, the forecast of advanced fatigue conditions and the improvements of situational awareness performance of the user to perform the task to one or more second users.

Abstract: A situational awareness analysis and fatigue management system including a processor that receives input data from a user, generates a set of algorithms from the input data, calculates outputs of each of the set of algorithms, and generates and displays a dynamic assessment situational awareness (DASA) diagram of the user as a function of situational awareness performance and wakefulness hours of the user from the calculated output. Using the DASA diagram, the processor identifies situational awareness longevity conditions of the user to perform a task, forecasts advanced fatigue conditions of the user based on the identified situational awareness longevity conditions and identifies improvements of situational awareness performance of the user to perform the task. The processor displays the identified situational awareness longevity conditions, the forecast of advanced fatigue conditions and the improvements of situational awareness performance of the user to perform the task to one or more second users.

Abstract: A situational awareness analysis and fatigue management system including a processor that receives input data from a user, generates a set of algorithms from the input data, calculates outputs of each of the set of algorithms, and generates and displays a dynamic assessment situational awareness (DASA) diagram of the user as a function of situational awareness performance and wakefulness hours of the user from the calculated output. Using the DASA diagram, the processor identifies situational awareness longevity conditions of the user to perform a task, forecasts advanced fatigue conditions of the user based on the identified situational awareness longevity conditions and identifies improvements of situational awareness performance of the user to perform the task. The processor displays the identified situational awareness longevity conditions, the forecast of advanced fatigue conditions and the improvements of situational awareness performance of the user to perform the task to one or more second users.