GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy | Paper Citation Record

Observation 52fa2085-cc97-4a13-b9cd-00ba48b6b83c · outbound

This paper cites Combining traffic assignment and traffic signal control for online traffic flow optimization,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Combining traffic assignment and traffic signal control for online traffic flow optimization,

Reference 1

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Observation dbc6a70b-8805-437e-8388-5583a9f063dc · outbound

This paper cites Lowrie, Roads, and T.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Lowrie, Roads, and T

Reference 2

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Observation 12473568-4604-4c0a-9161-38476b1f4403 · outbound

This paper cites Deep learning,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Deep learning,

Reference 3

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Observation e54b49e8-5d1b-4bc9-899e-0a8230863a93 · outbound

This paper cites Sur- vey on the internet of vehicles: Network architectures and applications,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Sur- vey on the internet of vehicles: Network architectures and applications,

Reference 4

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Observation b09a57c8-8c7e-4427-bad7-1e7943160713 · outbound

This paper cites Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Toward a thousand lights: Decentralized deep reinforcement learning for large-scale traffic signal control,

Reference 5

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Observation 16f620f7-26ac-4e7e-b13b-ddb2a56dfeca · outbound

This paper cites Colight: Learning network-level cooperation for traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Colight: Learning network-level cooperation for traffic signal control,

Reference 6

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Observation d9ceb224-f798-42e5-8dc3-217fa8fb2639 · outbound

This paper cites Presslight: Learning max pressure control to coordinate traffic signals in arterial network,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Presslight: Learning max pressure control to coordinate traffic signals in arterial network,

Reference 7

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Observation f919419d-e82d-4573-8177-f87f8dc47bc0 · outbound

This paper cites Deep reinforcement learning for intelligent transportation systems: A survey,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Deep reinforcement learning for intelligent transportation systems: A survey,

Reference 8

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Observation f305a4a6-4972-4115-b611-ad80f1e9c0ef · outbound

This paper cites Reward Design with Language Models.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Reward Design with Language Models

Reference 9

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Observation 21294e82-c294-4ba1-b0f5-c756a749896b · outbound

This paper cites Inverse reward design,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Inverse reward design,

Reference 10

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Observation c5a0755f-b723-45d0-b03d-f3d230746b35 · outbound

This paper cites Evolution Strategies as a Scalable Alternative to Reinforcement Learning.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Evolution Strategies as a Scalable Alternative to Reinforcement Learning

Reference 11

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Observation 82fbcbbd-9a30-4c34-9384-a876778abbbf · outbound

This paper cites Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Explainable artificial intelligence (xai): What we know and what is left to attain trustworthy artificial intelligence,

Reference 12

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Observation 893f846b-f5e3-4a09-a5fd-f86414be153b · outbound

This paper cites Interpretation of neural networks is fragile,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Interpretation of neural networks is fragile,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:06.984426Z

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Observation 2dd19d85-8d60-48ad-b94c-eff5b87f415f · outbound

This paper cites Extracting decision tree from trained deep reinforcement learning in traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Extracting decision tree from trained deep reinforcement learning in traffic signal control,

Reference 14

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Observation 84208fc3-10b1-4ed5-be3e-a340b2586db6 · outbound

This paper cites ’why did you do that?’ explainable intelligent robots,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy ’why did you do that?’ explainable intelligent robots,

Reference 15

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Observation 7bdad0c5-0b1d-4fd2-a34b-ca5d421cc4e4 · outbound

This paper cites Explainable artifi- cial intelligence by genetic programming: A survey,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Explainable artifi- cial intelligence by genetic programming: A survey,

Reference 16

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Observation 996affbf-6edb-43c8-8ea9-d5a92699ed29 · outbound

This paper cites Genetic programming as a means for programming comput- ers by natural selection,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Genetic programming as a means for programming comput- ers by natural selection,

Reference 17

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Observation 25605330-07cb-4e41-b71a-e5aaa5c5e3cb · outbound

This paper cites Learning traffic signal control via genetic programming,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Learning traffic signal control via genetic programming,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:05.765261Z

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Observation ab9e89f0-39e3-4928-92d6-b20a77048314 · outbound

This paper cites Diagnosing Reinforcement Learning for Traffic Signal Control.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Diagnosing Reinforcement Learning for Traffic Signal Control

Reference 19

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Observation 9ec3e269-1b4c-49a4-a09a-1b3358b939da · outbound

This paper cites Intellilight: A reinforcement learning approach for intelligent traffic light control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Intellilight: A reinforcement learning approach for intelligent traffic light control,

Reference 20

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Observation e391e2b0-3e73-4814-a299-fb7adc28dec6 · outbound

This paper cites Learning phase competition for traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Learning phase competition for traffic signal control,

Reference 21

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Observation 4709c714-7c58-4151-af51-f98a7396a43f · outbound

This paper cites Traffic signal settings,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Traffic signal settings,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:05.051120Z

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Observation a6ce7044-8f7c-4e38-8574-b440d88658cc · outbound

This paper cites Efficient Pressure: Improving efficiency for signalized intersections.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Efficient Pressure: Improving efficiency for signalized intersections

Reference 23

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Observation fac49873-6f14-46d1-bfe8-bdef86a4462a · outbound

This paper cites Vissim: A microscopic simulation tool to evaluate actuated signal control including bus priority,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Vissim: A microscopic simulation tool to evaluate actuated signal control including bus priority,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:04.748398Z

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Observation 5fa6f385-264e-4a43-b79f-a59bac06c57b · outbound

This paper cites A real-time traffic signal control system: architecture, algorithms, and analysis,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy A real-time traffic signal control system: architecture, algorithms, and analysis,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:04.421087Z

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Observation 673a1379-b03c-419e-a8b1-a25bfab86143 · outbound

This paper cites Traffic signal timing manual.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Traffic signal timing manual

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:04.027987Z

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Observation 4fdb00d4-e048-40bd-a099-4661a45bdb66 · outbound

This paper cites The scoot on-line traffic signal optimisation technique,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy The scoot on-line traffic signal optimisation technique,

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:54.779796Z

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Observation c1fde1eb-0ed1-4b60-8da4-59188ef67f22 · outbound

This paper cites Automatic design of optimal actuated traffic signal plans with active transit priority,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Automatic design of optimal actuated traffic signal plans with active transit priority,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:03.771661Z

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Observation 5cda06a9-4844-4f87-af96-dd82813a7f8c · outbound

This paper cites Traffic signals,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Traffic signals,

Reference 29

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Observation b7720d2a-bea6-4657-b718-0c2f172a250d · outbound

This paper cites an unresolved cited work.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Unresolved cited work

Reference 30

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Observation 6dc1509d-98c0-4939-8f7f-788c13b08ce9 · outbound

This paper cites Signal multiobjective optimization for urban traffic network,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Signal multiobjective optimization for urban traffic network,

Reference 31

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Observation 7d99a931-7bff-4ce3-b890-06547e906bbb · outbound

This paper cites Novel traffic signal timing adjustment strategy based on genetic algorithm,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Novel traffic signal timing adjustment strategy based on genetic algorithm,

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:02.624888Z

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Observation 6edc724e-b13e-437d-86d1-aab11b59516c · outbound

This paper cites Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Multi-objective optimization of urban road intersection signal timing based on particle swarm optimization algorithm,

Reference 33

Resolution: verified exact; doi, observed 2026-08-05T17:36:58.255361Z

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Observation 96c886be-8aa1-41a3-8be4-4e719345cea8 · outbound

This paper cites Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Evolvable traffic signal control for intersection congestion alleviation with enhanced particle swarm optimisation,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:02.353588Z

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Observation 57e178b4-5935-42e8-9e06-a75f3b840d96 · outbound

This paper cites A differential evolution algorithm-based traffic control model for signalized intersections,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy A differential evolution algorithm-based traffic control model for signalized intersections,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:02.105962Z

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Observation 3086c1f0-d4dc-4cb1-a43c-21b4481ad3c3 · outbound

This paper cites A multiobjective bilevel programming model for environ- mentally friendly traffic signal timings,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy A multiobjective bilevel programming model for environ- mentally friendly traffic signal timings,

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:01.866891Z

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Observation 7ea596fe-ef14-4c73-adae-89053f860ff9 · outbound

This paper cites Ant colony optimization approach for optimizing traffic signal timings,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Ant colony optimization approach for optimizing traffic signal timings,

Reference 37

Resolution: malformed identifier; doi_truncated, observed 2026-08-05T17:36:58.097576Z

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Observation 7cb2454f-9caa-408e-8b61-7a6ba8ebd1c1 · outbound

This paper cites Traffic signal optimization using ant colony algorithm,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Traffic signal optimization using ant colony algorithm,

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:01.582053Z

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Observation 36058a36-2b11-45fa-a548-bfe2386d6719 · outbound

This paper cites The max-pressure controller for arbitrary networks of signalized intersections,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy The max-pressure controller for arbitrary networks of signalized intersections,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:01.454257Z

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Observation 7851345e-598d-4bf5-ae65-d14d2feb5b25 · outbound

This paper cites Safelight: A rein- forcement learning method toward collision-free traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Safelight: A rein- forcement learning method toward collision-free traffic signal control,

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:01.331338Z

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Observation 111122db-28c6-422e-acd6-7bc13255f6a1 · outbound

This paper cites Reinforcement learning with function approximation for traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Reinforcement learning with function approximation for traffic signal control,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:01.129825Z

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Observation 6f7e1008-e092-42d4-a986-01bcca2b0abd · outbound

This paper cites Multiagent rein- forcement learning for urban traffic control using coordination graphs,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Multiagent rein- forcement learning for urban traffic control using coordination graphs,

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.990069Z

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Observation 51120be0-5074-4efd-86ee-3a43723b44a8 · outbound

This paper cites Coordinated deep reinforcement learners for traffic light control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Coordinated deep reinforcement learners for traffic light control,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.818870Z

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Observation e15387db-8ef7-42bd-8b61-ed1f2fcfc23c · outbound

This paper cites Multi-agent reinforcement learning for traffic light control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Multi-agent reinforcement learning for traffic light control,

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.701132Z

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Observation d124a37f-56d0-4ad0-b7a0-4cbb5eba8e84 · outbound

This paper cites Learning heuristics with different rep- resentations for stochastic routing,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Learning heuristics with different rep- resentations for stochastic routing,

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.526588Z

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Observation b0b74bb7-1236-4cc2-afd8-323e7a50b6c6 · outbound

This paper cites Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Survey on genetic programming and machine learning techniques for heuristic design in job shop scheduling,

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.376592Z

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Observation 1ae907cb-4260-492a-a358-9b461b3fae0b · outbound

This paper cites Zhang, S.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Zhang, S

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.200707Z

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Observation 575da7e1-054e-4f1b-b5bf-71cb63910f5b · outbound

This paper cites Genetic programming for production scheduling: a survey with a unified framework,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Genetic programming for production scheduling: a survey with a unified framework,

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:56.650877Z

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Observation 7c792643-e68a-476c-a442-d213c42b5285 · outbound

This paper cites Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Niching genetic programming to learn actions for deep reinforcement learning in dynamic flexible scheduling,

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:37:00.032837Z

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Observation 246d4544-2133-467b-9979-d3eeee21761a · outbound

This paper cites Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Genetic programming and reinforcement learning on learning heuristics for dynamic scheduling: A preliminary comparison,

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.826202Z

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Observation 6c2bd764-fa38-46d5-9cfb-db2140750491 · outbound

This paper cites A genetic programming approach for the traffic signal control problem with epigenetic modifications,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy A genetic programming approach for the traffic signal control problem with epigenetic modifications,

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.651534Z

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Observation ed26cbcf-34b4-4232-b636-4d71e0fd4971 · outbound

This paper cites Evolving adaptive traffic signal controllers for a real scenario using genetic programming with an epigenetic mechanism,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Evolving adaptive traffic signal controllers for a real scenario using genetic programming with an epigenetic mechanism,

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.483852Z

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Observation 18eaa3fb-c72d-4981-b852-cebb6e2d436d · outbound

This paper cites A survey and comparison of tree generation algorithms,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy A survey and comparison of tree generation algorithms,

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.318707Z

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Observation 647d7605-9466-495a-b74e-96f952b64c9c · outbound

This paper cites Expression might be enough: Representing pressure and demand for reinforcement learning based traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Expression might be enough: Representing pressure and demand for reinforcement learning based traffic signal control,

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.171336Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4852d1ba-70a2-4edd-b7e1-e936798b8f36 · outbound

This paper cites Towards scalable dynamic traffic assignment with streaming agents: A decentralized control approach using genetic programming,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Towards scalable dynamic traffic assignment with streaming agents: A decentralized control approach using genetic programming,

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:59.037850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 93aec3b9-922a-467f-86d2-d7780f4b5560 · outbound

This paper cites Learning to communicate among agents for large-scale dynamic path planning with genetic programming hyperheuristic,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Learning to communicate among agents for large-scale dynamic path planning with genetic programming hyperheuristic,

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:58.877059Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 2792e8a7-a25e-4fa6-8f91-c28640f5dd66 · outbound

This paper cites Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Cityflow: A multi-agent reinforcement learning environment for large scale city traffic scenario,

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:57.447355Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d34f708-3078-4a55-8579-4587bebd6246 · outbound

This paper cites Tinylight: Adaptive traffic signal control on devices with extremely limited resources,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Tinylight: Adaptive traffic signal control on devices with extremely limited resources,

Reference 58

Resolution: verified exact; doi, observed 2026-08-05T17:36:57.935811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 74719c9f-f970-4f64-9dfa-9f51b0bd3ed9 · outbound

This paper cites Smart traffic control system using atmega328 micro controller and arduino software,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Smart traffic control system using atmega328 micro controller and arduino software,

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:58.731771Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 09703ebf-61b1-408f-9f15-a5d32a3b914b · outbound

This paper cites � -light: Programmatic interpretable reinforcement learning for resource-limited traffic signal control,.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy � -light: Programmatic interpretable reinforcement learning for resource-limited traffic signal control,

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T17:36:58.595762Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 33159900-4212-4698-bf97-c36603671e1c · outbound

This paper cites Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding.

GPLight+: A Genetic Programming Method for Learning Symmetric Traffic Signal Control Policy Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-05T17:36:57.778091Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Reference resolution

Outbound references

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