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Adaptive Transit Signal Priority Based on Reinforcement Learning, Connected Vehicles, and Software in the Loop Simulation
Adaptive Transit Signal Priority Based on Reinforcement Learning, Connected Vehicles, and Software in the Loop Simulation
상세정보
- 자료유형
- 학위논문 서양
- 최종처리일시
- 20260202105532
- ISBN
- 9798263344214
- DDC
- 519.7
- 서명/저자
- Adaptive Transit Signal Priority Based on Reinforcement Learning, Connected Vehicles, and Software in the Loop Simulation
- 발행사항
- [Sl] : Georgia Institute of Technology, 2025
- 발행사항
- Ann Arbor : ProQuest Dissertations & Theses, 2025
- 형태사항
- 277 p
- 주기사항
- Source: Dissertations Abstracts International, Volume: 87-05, Section: A.
- 주기사항
- Advisor: Hunter, Michael;Guin, Angshuman.
- 학위논문주기
- Thesis (Ph.D.)--Georgia Institute of Technology, 2025.
- 초록/해제
- 요약1.1 BackgroundAccording to National Transit Summaries and Trends (NTST) published by Federal Transit Administration (FTA), urban transit systems provided 6.9 billion passenger trips in the year 2023 with 3.26 billion of these being bus trips (Federal Transit Administration 2023). Transit provides a means of travel to choice riders and to segments of the population who are unable to drive due to physical (age, disability) and financial disadvantages. According to the transit capacity and quality of service manual (TCQSM), passengers evaluate the transit quality of service based on travel time, availability (coverage, frequency, etc.), service delivery (reliability, comfort, etc.) safety, and security. Transit agencies evaluate the quality of service based on economics (ridership and cost efficiency), and transit impacts (economic, mobility, and environmental). While motorists use metrics of congestion impacts such as volume to capacity ratios and average system speed and delay (Transportation Research Board and National Academies of Sciences Engineering and Medicine 2013).To improve bus transit quality of service, transit agencies must evaluate priorities to allocate their limited resources to invest in (a) new road and transit infrastructure including construction of dedicated bus lanes, bus stations, and queue jumps, (b) increasing and modernizing fleet, and (c) new technologies including dispatch and monitoring, transit signal priority (TSP), and passenger information systems. Investments in new technologies like TSP may result in significant service improvements for less capital investment compared to large transit infrastructure projects. TSP is the subject of this dissertation.Traffic signals are traffic control devices that assign the right-of-way in time to different vehicular and pedestrian movements at an intersection. Properly designed traffic signals allow orderly movement of traffic, increase the traffic handling capacity of intersections, and improve safety by reducing the number and severity of conflicts (United States Department of Transportation and Federal Highway Administration 2009). On arterials, urban streets, and other facilities such as interchanges that have paired intersections, signal coordination allows traffic flow progression of one or more directional movements through adjacent intersections. Traffic signals most commonly work by assigning conflicting movements right-of-way in a defined cyclic sequence. The timing of each movement is estimated from the set objectives, including minimizing delay, queue length, maximizing throughput, maintaining coordination, and maintaining a safe operation.TSP alters the normal timing operation by extending the priority phase, shortening nonpriority phases, rotating phase sequence, or inserting a special phase to allow a transit vehicle to pass through the intersection (Koonce 2008). TSP is different from signal preemption, which the Manual on Uniform Control Devices (MUTCD) defines as the "the transfer of normal operation of traffic control signals to a special control mode of operation" (United States Department of Transportation and Federal Highway Administration 2009). Preemption is necessitated to give right of way to emergency vehicles such as ambulances and fire engines and to clear the intersection space ahead of train or boat crossing. Signal preemption has a higher priority than signal priority with the former requiring skipping of all conflicting phases and imposing no limits on the green extension for the preempted movement until the preempted vehicle has exited the intersection (Koonce 2008).
- 일반주제명
- Mathematical programming
- 일반주제명
- Software
- 일반주제명
- Control algorithms
- 일반주제명
- Preemption
- 일반주제명
- Buses
- 일반주제명
- Neural networks
- 일반주제명
- Traffic control
- 일반주제명
- Traffic flow
- 일반주제명
- Mass transit
- 일반주제명
- Dynamic link libraries
- 일반주제명
- Markov analysis
- 일반주제명
- Vehicles
- 일반주제명
- Transportation
- 기본자료저록
- Dissertations Abstracts International. 87-05A.
- 전자적 위치 및 접속
- 로그인 후 원문을 볼 수 있습니다.
MARC
008260126s2025 us c eng d■001000017360475
■00520260202105532
■006m o d
■007cr#unu||||||||
■020 ▼a9798263344214
■035 ▼a(MiAaPQ)AAI32309910
■035 ▼a(MiAaPQ)GeorgiaTech77909
■040 ▼aMiAaPQ▼cMiAaPQ
■0820 ▼a519.7
■1001 ▼aKwesiga, Dickness Kakitahi.
■24510▼aAdaptive Transit Signal Priority Based on Reinforcement Learning, Connected Vehicles, and Software in the Loop Simulation
■260 ▼a[Sl]▼bGeorgia Institute of Technology▼c2025
■260 1▼aAnn Arbor▼bProQuest Dissertations & Theses▼c2025
■300 ▼a277 p
■500 ▼aSource: Dissertations Abstracts International, Volume: 87-05, Section: A.
■500 ▼aAdvisor: Hunter, Michael;Guin, Angshuman.
■5021 ▼aThesis (Ph.D.)--Georgia Institute of Technology, 2025.
■520 ▼a1.1 BackgroundAccording to National Transit Summaries and Trends (NTST) published by Federal Transit Administration (FTA), urban transit systems provided 6.9 billion passenger trips in the year 2023 with 3.26 billion of these being bus trips (Federal Transit Administration 2023). Transit provides a means of travel to choice riders and to segments of the population who are unable to drive due to physical (age, disability) and financial disadvantages. According to the transit capacity and quality of service manual (TCQSM), passengers evaluate the transit quality of service based on travel time, availability (coverage, frequency, etc.), service delivery (reliability, comfort, etc.) safety, and security. Transit agencies evaluate the quality of service based on economics (ridership and cost efficiency), and transit impacts (economic, mobility, and environmental). While motorists use metrics of congestion impacts such as volume to capacity ratios and average system speed and delay (Transportation Research Board and National Academies of Sciences Engineering and Medicine 2013).To improve bus transit quality of service, transit agencies must evaluate priorities to allocate their limited resources to invest in (a) new road and transit infrastructure including construction of dedicated bus lanes, bus stations, and queue jumps, (b) increasing and modernizing fleet, and (c) new technologies including dispatch and monitoring, transit signal priority (TSP), and passenger information systems. Investments in new technologies like TSP may result in significant service improvements for less capital investment compared to large transit infrastructure projects. TSP is the subject of this dissertation.Traffic signals are traffic control devices that assign the right-of-way in time to different vehicular and pedestrian movements at an intersection. Properly designed traffic signals allow orderly movement of traffic, increase the traffic handling capacity of intersections, and improve safety by reducing the number and severity of conflicts (United States Department of Transportation and Federal Highway Administration 2009). On arterials, urban streets, and other facilities such as interchanges that have paired intersections, signal coordination allows traffic flow progression of one or more directional movements through adjacent intersections. Traffic signals most commonly work by assigning conflicting movements right-of-way in a defined cyclic sequence. The timing of each movement is estimated from the set objectives, including minimizing delay, queue length, maximizing throughput, maintaining coordination, and maintaining a safe operation.TSP alters the normal timing operation by extending the priority phase, shortening nonpriority phases, rotating phase sequence, or inserting a special phase to allow a transit vehicle to pass through the intersection (Koonce 2008). TSP is different from signal preemption, which the Manual on Uniform Control Devices (MUTCD) defines as the "the transfer of normal operation of traffic control signals to a special control mode of operation" (United States Department of Transportation and Federal Highway Administration 2009). Preemption is necessitated to give right of way to emergency vehicles such as ambulances and fire engines and to clear the intersection space ahead of train or boat crossing. Signal preemption has a higher priority than signal priority with the former requiring skipping of all conflicting phases and imposing no limits on the green extension for the preempted movement until the preempted vehicle has exited the intersection (Koonce 2008).
■590 ▼aSchool code: 0078.
■650 4▼aMathematical programming
■650 4▼aSoftware
■650 4▼aControl algorithms
■650 4▼aPreemption
■650 4▼aBuses
■650 4▼aNeural networks
■650 4▼aTraffic control
■650 4▼aTraffic flow
■650 4▼aMass transit
■650 4▼aDynamic link libraries
■650 4▼aMarkov analysis
■650 4▼aVehicles
■650 4▼aTransportation
■690 ▼a0800
■690 ▼a0501
■690 ▼a0796
■690 ▼a0709
■71020▼aGeorgia Institute of Technology.
■7730 ▼tDissertations Abstracts International▼g87-05A.
■790 ▼a0078
■791 ▼aPh.D.
■792 ▼a2025
■793 ▼aEnglish
■85640▼uhttp://www.riss.kr/pdu/ddodLink.do?id=T17360475▼nKERIS▼z이 자료의 원문은 한국교육학술정보원에서 제공합니다.


