Road Surface Condition Estimating Device and Method

• US 20120078572A1
• Filed: 09/08/2011
• Published: 03/29/2012
• Est. Priority Date: 09/29/2010
• Status: Abandoned Application

• Current Assignee: Hitachi, Ltd.
• Original Assignee: Hitachi, Ltd.
• Inventors: Bando, Mikio, Kawamata, Yukihiro, Aoki, Toshiyuki
• Application Number:
  US13/228,126
• Publication Number:
  US 20120078572A1
• Time in Patent Office: Days
• US Class Current: 702/150
• CPC Class Codes: G08G 1/0112 from the vehicle, e.g. floating car data [FCD]

Abstract

A road surface condition estimating device includes an undulation estimating portion for estimating undulations on the trajectory of a traveling vehicle from behavioral information about plural vehicles collected during travel of the vehicles, and a rut estimating portion for estimating undulations of ruts relative to the trajectories of the vehicles from the trajectories of traveling vehicles and from the behavioral information about the vehicles. The behavioral information includes information about positions, postures, and speeds of travel of the vehicles. Undulations on the trajectory of each traveling vehicle found by the undulation estimating portion and undulations of ruts relative to the trajectory of the traveling vehicle are superimposed for each vehicle to find road surface conditions, which are delivered to the vehicles.

Claims

1. A road surface condition estimating device having a vehicle information acquisition unit which acquires behavioral information about behavior of plural vehicles collected during their travel, the collected information including information about positions, postures, and travel speeds of the vehicles, and an all vehicle trajectory database which stores trajectories of positions traveled by the vehicles, said road surface condition estimating device comprising:

undulation estimating unit which estimates undulations on the trajectories of the positions traveled by the vehicles from the behavioral information about the vehicles; and

a rut estimating unit which estimates undulations of ruts relative to the trajectories of the vehicles from the trajectories of the positions traveled by the vehicles and from the behavioral information about the vehicles;

wherein undulations on the trajectory of each traveling vehicle found by the undulation estimating unit and undulations of ruts relative to the trajectory of the traveling vehicle found by the rut estimating unit are superimposed for each vehicle to find road surface conditions and the found conditions are delivered to the vehicles.

2. The road surface condition estimating device of claim 1, wherein said rut estimating portion has a vehicle behavior estimating unit which estimates behavior including turns or rapid acceleration or deceleration of the vehicles from said behavioral information obtained during travel of the vehicles and an undulation estimating unit which estimates undulations of ruts created by behavior of the vehicles from an undulation variation rate owing to the difference between an amount of undulation estimated from the behavior of the vehicles and a previously found amount of undulation.

3. The road surface condition estimating device of claim 2, wherein said rut estimating unit has a measurement-estimated difference maximum likelihood estimating unit which calculates the difference between the amount of undulation estimated from behavior of each vehicle and an amount of undulation found previously and finding an undulation variation rate that is an amount of undulation produced by a single run of a vehicle.

4. The road surface condition estimating device of claim 3, wherein, when any amount of undulation estimated from behavior of a vehicle cannot be obtained, said measurement-estimated difference maximum likelihood estimating unit performs calculations on the assumption that the undulation variation rate is constant.

5. A method of estimating road surface conditions which obtains behavioral information about plural vehicles collected during travel of the vehicles, storing trajectories of positions traveled by the vehicles, and finding road surface conditions, said behavioral information including information about positions, postures, and travel speeds of the vehicles, said method comprising the steps of:

estimating undulations on the trajectories of positions traveled by the vehicles from the behavioral information about the vehicles;

estimating undulations of ruts relative to the trajectories of the vehicles from the trajectories of the positions traveled by the vehicles and from the behavioral information about the vehicles; and

superimposing the undulations on the trajectories of the traveling vehicles and the undulations of the ruts relative to the trajectories of the traveling vehicle to find road surface conditions and distributing the road surface conditions to the vehicles.

6. The method of estimating road surface conditions as set forth in claim 5, wherein said step of estimating undulations of ruts includes estimating behavior of the vehicles including turns or rapid acceleration or deceleration of the vehicles from the behavioral information obtained during travel of the vehicles and estimating undulations of ruts produced by behavior of the vehicles from an undulation variation rate owing to the difference between an amount of undulation estimated from the behavior of the vehicles and a previously found amount of undulation.

7. The method of estimating road surface conditions as set forth in claim 6, wherein said step of estimating undulations of ruts includes calculating the difference between an amount of undulation estimated from behavior of the vehicles and a previously found amount of undulation and finding an undulation variation rate that is an amount of undulation produced by a single run of a vehicle.

8. The method of estimating road surface conditions as set forth in claim 7, wherein in said step of finding an undulation variation rate, calculations are performed on the assumption that the undulation variation rate is constant provided that any amount of undulation estimated from behavior of the vehicles cannot be obtained.