Prosecution Insights
Last updated: May 29, 2026
Application No. 18/851,726

INFORMATION PROCESSING APPARATUS, CONTROL TERMINAL, INFORMATION PROCESSING METHOD, AND NON-TRANSITORY COMPUTER-READABLE STORAGE MEDIUM STORING A COMPUTER PROGRAM

Non-Final OA §103
Filed
Sep 27, 2024
Priority
Mar 28, 2022 — JP 2022-051635 +1 more
Examiner
TRIVEDI, ATUL
Art Unit
3661
Tech Center
3600 — Transportation & Electronic Commerce
Assignee
Sumitomo Electric Industries, Ltd.
OA Round
1 (Non-Final)
91%
Grant Probability
Favorable
1-2
OA Rounds
3m
Est. Remaining
99%
With Interview

Examiner Intelligence

Grants 91% — above average
91%
Career Allowance Rate
780 granted / 856 resolved
+39.1% vs TC avg
Moderate +8% lift
Without
With
+8.5%
Interview Lift
resolved cases with interview
Fast prosecutor
1y 11m
Avg Prosecution
25 currently pending
Career history
881
Total Applications
across all art units

Statute-Specific Performance

§101
0.8%
-39.2% vs TC avg
§103
77.2%
+37.2% vs TC avg
§102
5.0%
-35.0% vs TC avg
§112
0.5%
-39.5% vs TC avg
Black line = Tech Center average estimate • Based on career data from 856 resolved cases

Office Action

§103
Notice of Pre-AIA or AIA Status The present application, filed on or after March 16, 2013, is being examined under the first inventor to file provisions of the AIA . Claim Rejections - 35 USC § 103 In the event the determination of the status of the application as subject to AIA 35 U.S.C. 102 and 103 (or as subject to pre-AIA 35 U.S.C. 102 and 103) is incorrect, any correction of the statutory basis (i.e., changing from AIA to pre-AIA ) for the rejection will not be considered a new ground of rejection if the prior art relied upon, and the rationale supporting the rejection, would be the same under either status. The following is a quotation of 35 U.S.C. 103 which forms the basis for all obviousness rejections set forth in this Office action: A patent for a claimed invention may not be obtained, notwithstanding that the claimed invention is not identically disclosed as set forth in section 102, if the differences between the claimed invention and the prior art are such that the claimed invention as a whole would have been obvious before the effective filing date of the claimed invention to a person having ordinary skill in the art to which the claimed invention pertains. Patentability shall not be negated by the manner in which the invention was made. Claims 1-14 are rejected under 35 U.S.C. 103 as being unpatentable over Morioka, et al., US 2009/0322561 A1, in view of Umehara, et al., US 2017/0270785 A1. As per Claim 1, Morioka teaches an information processing apparatus (¶¶ 63-65) comprising: an acquisition circuit configured to acquire probe information of a probe vehicle passing through an inflow pass leading to an intersection (¶¶ 64-65); and a control circuit configured to execute dynamic control of determining, for each of predetermined control periods, a signal control parameter to be applied to the intersection (¶¶ 45-46, 60-61), wherein the signal control parameter includes a split to be applied to the intersection (¶¶ 74, 79-86; between “green light time” and “red light time”), and the dynamic control includes split dynamic control of updating the split in accordance with a traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information (¶¶ 87-88; based on “an analytical flow-based queuing model”). Morioka does not expressly teach that the intersection is an intersection not subjected to remote control by a central apparatus. Umehara teaches that the intersection is an intersection not subjected to remote control by a central apparatus (¶ 120; an intersection under “independent control”). At the time of the invention, a person of skill in the art would have thought it obvious to run the control process of Zhang on an intersection not subjected to remote control by a central apparatus, as Umehara teaches, in order to enable localized control of traffic light cycle times based on instantaneous vehicle and pedestrian traffic flows. As per Claim 2, Morioka teaches that the traffic indicator of the inflow pass includes a first traffic indicator from which saturation of the inflow pass is determinable, and that the control circuit is configured to increase a split of the inflow pass on a condition that saturation of the inflow pass has been detected in accordance with the first traffic indicator (¶¶ 112-113; after determining “saturated flow and under-saturated flow”). As per Claim 3, Morioka teaches that the condition for increasing the split of the inflow pass further includes that any inflow pass other than the inflow pass is not saturated (¶¶ 122-123; “in under-saturated traffic flow conditions”). As per Claim 4, Morioka teaches that the control circuit is configured to decrease the increased split of the inflow pass on a condition that a tendency of the detected saturation to be relieved has been detected (¶ 125). As per Claim 5, Morioka teaches that the control circuit is configured to decrease the increased split of the inflow pass on a condition that any inflow pass other than the inflow pass has turned to saturation (¶¶ 135-136). As per Claim 6, Morioka teach that the saturation of the inflow pass is over-saturation of the inflow pass (¶ 112; above the saturated flow curve in Figure 5), and the first traffic indicator is at least one of an average travel time in a wait-for-signal-to-change section of the inflow pass, a delay time per vehicle in the wait-for-signal-to-change section of the inflow pass (¶ 64; for “minimising waiting time and minimising delay”), or a queue length in the wait-for-signal-to-change section of the inflow pass (¶¶ 74-75). As per Claim 7, Morioka teaches that the saturation of the inflow pass is near-saturation of the inflow pass (¶¶ 112-113), and that the first traffic indicator is a demand rate of the inflow pass (¶¶ 108-109; as “average traffic flow rate” would indicate). As per Claim 8, Morioka does not expressly teach that the signal control parameter includes an offset to be applied to the intersection and an intersection on an upstream side of the intersection, and the dynamic control includes offset dynamic control of updating the offset in accordance with the traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information. Umehara teaches that the signal control parameter includes an offset to be applied to the intersection and an intersection on an upstream side of the intersection (¶¶ 84-85), and the dynamic control includes offset dynamic control of updating the offset in accordance with the traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information (¶ 161). See Claim 1 above for the rationale based on obviousness, motivations and reasons to combine. As per Claim 9, Morioka teaches that the traffic indicator of the inflow pass includes a second traffic indicator from which whether the intersection on the upstream side has queue spillback is determinable (¶¶ 89-91; based on measuring “the queuing rate”), and the control circuit is configured to adopt an offset of delaying a cycle of the intersection on the upstream side in response to detecting the queue spillback in accordance with the second traffic indicator (¶ 112; as “a decision point for switching” adjusts). As per Claim 10, Morioka teaches that the second traffic indicator is at least one of a queue length in a wait-for-signal-to-change section of the inflow pass (¶¶ 74-75, 89-91) or an end position of the wait-for-signal-to-change section of the inflow pass, the end position being specified based on image data captured by the probe vehicle (¶ 63; as taken from “video cameras”). As per Claim 11, Morioka teaches that the control circuit is configured to, when the probe information acquired in a current control period has an insufficient number of pieces of data, execute the dynamic control by using complementary probe information set in advance (¶ 75; despite “the impoverished data available from loop detectors”). As per Claim 12, Morioka teaches a control terminal connected to a traffic signal controller (¶¶ 63-65) of an intersection, the control terminal comprising: a communication circuit configured to receive probe information of a probe vehicle passing through an inflow pass leading to the intersection (¶¶ 64-65); and a control circuit configured to execute dynamic control of determining, for each of predetermined control periods, a signal control parameter to be applied to the intersection (¶¶ 45-46, 60-61), wherein the signal control parameter includes a split to be applied to the intersection (¶¶ 74, 79-86; between “green light time” and “red light time”), and the dynamic control includes split dynamic control of updating the split in accordance with a traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information (¶¶ 87-88; based on “an analytical flow-based queuing model”). Morioka does not expressly teach an intersection not subjected to remote control by a central apparatus. Umehara teaches an intersection not subjected to remote control by a central apparatus (¶ 120; an intersection under “independent control”). See Claim 1 above for the rationale based on obviousness, motivations and reasons to combine. As per Claim 13, Morioka teaches an information processing method (¶¶ 64-66) comprising: acquiring probe information of a probe vehicle passing through an inflow pass leading to an intersection (¶¶ 64-65); and executing dynamic control of determining, for each of predetermined control periods, a signal control parameter to be applied to the intersection (¶¶ 45-46, 60-61), the signal control parameter includes a split to be applied to the intersection (¶¶ 74, 79-86; between “green light time” and “red light time”), and the dynamic control includes split dynamic control of updating the split in accordance with a traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information (¶¶ 87-88; based on “an analytical flow-based queuing model”). Morioka does not expressly teach that the intersection is an intersection not subjected to remote control by a central apparatus. Umehara teaches that the intersection is an intersection not subjected to remote control by a central apparatus (¶ 120; an intersection under “independent control”). See Claim 1 above for the rationale based on obviousness, motivations and reasons to combine. As per Claim 14, Morioka teaches a non-transitory computer-readable storage medium storing a computer program for causing a computer to function as an information processing apparatus (¶¶ 3, 63-65) comprising: an acquisition circuit configured to acquire probe information of a probe vehicle passing through an inflow pass leading to an intersection (¶¶ 63-65); and a control circuit configured to execute dynamic control of determining, for each of predetermined control periods, a signal control parameter to be applied to the intersection (¶¶ 45-46, 60-61), the signal control parameter includes a split to be applied to the intersection (¶¶ 74, 79-86; between “green light time” and “red light time”), and the dynamic control includes split dynamic control of updating the split in accordance with a traffic indicator of the inflow pass, the traffic indicator being calculated from the probe information (¶¶ 87-88; based on “an analytical flow-based queuing model”). Morioka does not expressly teach that the intersection is an intersection not subjected to remote control by a central apparatus. Umehara teaches that the intersection is an intersection not subjected to remote control by a central apparatus (¶ 120; an intersection under “independent control”). See Claim 1 above for the rationale based on obviousness, motivations and reasons to combine. Conclusion Any inquiry concerning this communication or earlier communications from the examiner should be directed to ATUL TRIVEDI whose telephone number is (313)446-4908. The examiner can normally be reached Mon-Fri; 9:00 AM-5:00 PM EST. Examiner interviews are available via telephone, in-person, and video conferencing using a USPTO supplied web-based collaboration tool. To schedule an interview, applicant is encouraged to use the USPTO Automated Interview Request (AIR) at http://www.uspto.gov/interviewpractice. If attempts to reach the examiner by telephone are unsuccessful, the examiner’s supervisor, Peter Nolan can be reached at (571) 270-7016. The fax phone number for the organization where this application or proceeding is assigned is 571-273-8300. Information regarding the status of published or unpublished applications may be obtained from Patent Center. Unpublished application information in Patent Center is available to registered users. To file and manage patent submissions in Patent Center, visit: https://patentcenter.uspto.gov. Visit https://www.uspto.gov/patents/apply/patent-center for more information about Patent Center and https://www.uspto.gov/patents/docx for information about filing in DOCX format. For additional questions, contact the Electronic Business Center (EBC) at 866-217-9197 (toll-free). If you would like assistance from a USPTO Customer Service Representative, call 800-786-9199 (IN USA OR CANADA) or 571-272-1000. ATUL TRIVEDI Primary Examiner Art Unit 3661 /ATUL TRIVEDI/Primary Examiner, Art Unit 3661
Read full office action

Prosecution Timeline

Sep 27, 2024
Application Filed
Jan 15, 2026
Non-Final Rejection mailed — §103 (current)

Precedent Cases

Applications granted by this same examiner with similar technology

Patent 12637098
Vehicle and Control Method Thereof
2y 2m to grant Granted May 26, 2026
Patent 12637103
METHOD AND APPARATUS WITH AUTONOMOUS DRIVING DECISION LEARNING
2y 2m to grant Granted May 26, 2026
Patent 12640038
SYSTEMS AND METHODS FOR PREDICTING COLLISION PROBABILITIES ASSOCIATED WITH ROADWAY INTERSECTIONS
1y 7m to grant Granted May 26, 2026
Patent 12617385
PREDICTION APPARATUS AND PREDICTION METHOD FOR AT LEAST ONE BRAKE SYSTEM COMPONENT OF A BRAKE SYSTEM OF A VEHICLE
2y 8m to grant Granted May 05, 2026
Patent 12617412
SYSTEM AND METHODS FOR DETECTING ABNORMAL FOLLOWING VEHICLES
2y 2m to grant Granted May 05, 2026
Study what changed to get past this examiner. Based on 5 most recent grants.

Strategy Recommendation AI-generated — please review before filing

Get a prosecution strategy drawn from examiner precedents, rejection analysis, and claim mapping.
Typically takes 5-10 seconds — AI-generated, attorney review required before filing

Prosecution Projections

1-2
Expected OA Rounds
91%
Grant Probability
99%
With Interview (+8.5%)
1y 11m (~3m remaining)
Median Time to Grant
Low
PTA Risk
Based on 856 resolved cases by this examiner. Grant probability derived from career allowance rate.

Sign in with your work email

Enter your email to receive a magic link. No password needed.

Personal email addresses (Gmail, Yahoo, etc.) are not accepted.

Free tier: 3 strategy analyses per month