# CIVENGR 678: Advanced Traffic Modeling and Computer Simulation | UW–Madison [View on UW Courses](https://uwcourses.com/courses/CIVENGR_678) ## Dataset ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ### repository twangodev/uwcourses ### schema version 6 ### importer version 7 ### projection id 94468b7d4154126ca413937bb4738a6d21e0c2277f6fa397a6078ad80a32384f ### observed at 2026-09-07T15:55:43.033547+00:00 ### built at 2026-09-10T23:19:01.870283+00:00 ### courses 8951 ### current instructors 5754 ### limited false ### terms * 1272 * 1264 * 1262 * 1254 * 1252 * 1244 * 1242 * 1234 * 1232 * 1224 * 1222 * 1212 * 1204 * 1202 * 1194 * 1192 * 1184 * 1182 * 1174 * 1172 * 1164 * 1162 * 1154 * 1152 * 1144 * 1142 * 1134 * 1132 * 1124 * 1122 * 1114 * 1112 * 1104 * 1102 * 1094 * 1092 * 1084 * 1082 * 1074 * 1072 ### term 1272 ### departments | subject | count | | --------- | ----- | | AAE | 90 | | ABT | 20 | | ACCTIS | 36 | | ACTSCI | 14 | | AFAERO | 10 | | AFRICAN | 87 | | AFROAMER | 71 | | AGROECOL | 21 | | AMERIND | 53 | | ANAT\&PHY | 7 | | ANATOMY | 2 | | ANESTHES | 8 | | ANSCI | 57 | | ANTHRO | 95 | | ART | 125 | | ARTED | 10 | | ARTHIST | 121 | | ASIALANG | 129 | | ASIAN | 109 | | ASIANAM | 28 | | ASTRON | 38 | | ATMOCN | 69 | | BIOCHEM | 51 | | BIOCORE | 10 | | BIOLOGY | 14 | | BIOMDSCI | 18 | | BME | 66 | | BMI | 41 | | BMOLCHEM | 10 | | BOTANY | 69 | | BSE | 44 | | C\&ESOC | 73 | | CBE | 48 | | CHEM | 101 | | CHICLA | 52 | | CIVENGR | 133 | | CLASSICS | 47 | | CNP | 10 | | CNSRSCI | 50 | | COMARTS | 137 | | COMPBIO | 15 | | COMPLIT | 11 | | COMPSCI | 138 | | COUNPSY | 78 | | CRB | 19 | | CS\&D | 71 | | CSCS | 40 | | CURRIC | 193 | | DANCE | 93 | | DERM | 8 | | DS | 88 | | DYSCI | 35 | | ECE | 155 | | ECON | 145 | | EDPOL | 114 | | EDPSYCH | 97 | | ELPA | 70 | | EMA | 53 | | EMERMED | 17 | | ENGL | 206 | | ENTOM | 40 | | ENVIRST | 148 | | EP | 15 | | EPD | 67 | | ESL | 16 | | F\&WECOL | 60 | | FAMMED | 22 | | FINANCE | 50 | | FOLKLORE | 40 | | FOODSCI | 43 | | FRENCH | 63 | | GEN\&WS | 145 | | GENBUS | 72 | | GENECSLR | 17 | | GENETICS | 60 | | GEOG | 113 | | GEOSCI | 83 | | GERMAN | 82 | | GLE | 48 | | GNS | 38 | | GREEK | 27 | | HDFS | 41 | | HEBR-BIB | 13 | | HEBR-MOD | 10 | | HISTORY | 233 | | HISTSCI | 56 | | HONCOL | 13 | | ILS | 43 | | INFOSYS | 9 | | INTEGART | 7 | | INTEGSCI | 22 | | INTER-AG | 18 | | INTER-HE | 11 | | INTER-LS | 22 | | INTEREGR | 16 | | INTLBUS | 21 | | INTLST | 50 | | ISYE | 83 | | ITALIAN | 53 | | JEWISH | 56 | | JOURN | 88 | | KINES | 128 | | LACIS | 26 | | LANDARC | 61 | | LATIN | 24 | | LAW | 120 | | LEGALST | 48 | | LINGUIS | 35 | | LIS | 89 | | LITTRANS | 78 | | LSC | 52 | | M\&ENVTOX | 7 | | MARKETNG | 62 | | MATH | 153 | | MDGENET | 8 | | ME | 130 | | MEDHIST | 43 | | MEDICINE | 60 | | MEDIEVAL | 32 | | MEDPHYS | 39 | | MEDSC-M | 29 | | MEDSC-V | 41 | | MHR | 68 | | MICROBIO | 45 | | MILSCI | 16 | | MM\&I | 22 | | MOLBIOL | 6 | | MS\&E | 59 | | MUSIC | 165 | | MUSPERF | 126 | | NAVSCI | 20 | | NE | 44 | | NEURODPT | 11 | | NEUROL | 7 | | NEURSURG | 4 | | NTP | 11 | | NURSING | 111 | | NUTRSCI | 65 | | OBS\&GYN | 18 | | OCCTHER | 39 | | ONCOLOGY | 14 | | OPHTHALM | 5 | | OTM | 43 | | PATH | 34 | | PATH-BIO | 29 | | PEDIAT | 26 | | PHARMACY | 31 | | PHILOS | 77 | | PHMCOL-M | 11 | | PHMPRAC | 45 | | PHMSCI | 60 | | PHYASST | 37 | | PHYSICS | 88 | | PHYSIOL | 3 | | PHYTHER | 37 | | PLANTSCI | 52 | | PLPATH | 35 | | POLISCI | 192 | | POPHLTH | 58 | | PORTUG | 33 | | PSYCH | 101 | | PSYCHIAT | 22 | | PUBAFFR | 54 | | PUBLHLTH | 23 | | RADIOL | 11 | | REALEST | 41 | | RELIGST | 90 | | RHABMED | 9 | | RMI | 24 | | RP\&SE | 102 | | S\&APHM | 17 | | SCANDST | 73 | | SLAVIC | 89 | | SOC | 149 | | SOCWORK | 87 | | SOILSCI | 46 | | SPANISH | 83 | | SRMED | 21 | | STAT | 94 | | STDYABRD | 52 | | STS | 8 | | SURGERY | 25 | | SURGSCI | 33 | | THEATRE | 91 | | URBRPL | 60 | | UROLOGY | 5 | | ZOOLOGY | 89 | ## course ### run id 20260907T155543-ce3781c4 ### semester 1272 ### observed at 2026-09-07 15:55:43.033547+00:00 ### record version id a080f67114be6849037cdc6fcbc8e0e4e2499b2d746dc2a5fa72cf4fe4f475f1 ### course id CIVENGR 678 ### course uid course\_a040ba24ca95286d78e7f636 ### catalog version id 0f890ae1f3ecab55c280f7e253b701be7ce0d91bebd1c46acdcbfa5e44e71171 ### course number 678 ### subjects * CIVENGR ### title ADVANCED TRAFFIC MODELING AND COMPUTER SIMULATION ### description Theoretical and practical perspectives of traffic flow modeling with a focus on micro-simulation. Simulation software, such as CORSIM, VISSIM, and PARAMICS. Develop and calibrate a set of base models of existing conditions, extend the models to include design alternatives (generally using traffic demands projected for future years), and then generate conclusions on the basis of the modeling results. ### requirements text CIV ENGR 370, graduate/professional standing, or member of Engineering Guest Students ### credit offering ids None recorded. ### llm job id enrich-8b774950c2b6adfdc46d1b82 ### llm output id abcd5f42429f5eb02b9526d443ccc097dbbe1f3b2b95489069f70cb8ad39b5d7 ### llm model nvidia/Qwen3.6-35B-A3B-NVFP4 ### llm model revision 1355db6a052410cfd62085d94b58866fd0f2c3c5 ### llm task version 14 ### llm search status valid ### llm summary CIVENGR 678 covers advanced traffic flow modeling and micro-simulation using software like CORSIM and VISSIM. ### llm topics * Traffic flow modeling and micro-simulation. * Simulation software (CORSIM, VISSIM, PARAMICS). * Design alternatives and future traffic demand projections. ### llm skills * Develop and calibrate traffic simulation models. * Extend models to evaluate design alternatives. * Generate conclusions from modeling results. ### llm assumed background * Foundations in transportation engineering, including supply/demand characteristics and system planning. ### llm search phrases * traffic flow micro-simulation * CORSIM VISSIM PARAMICS calibration * advanced traffic modeling * transportation engineering graduate course ### llm requirements status valid ### llm student summary status valid ### llm experience status insufficient\_evidence ### catalog variants None recorded. ### student summary #### context hash 8a85d2d2122c3a192b13068691222b872ac25d735b4dcfb32f4a715ba61d25ba #### course id CIVENGR 678 #### current instructors None recorded. #### difficulty workload None recorded. #### errors None recorded. #### historical context None recorded. #### message No course-specific reviews available #### offered false #### profile hash 5cb4dabf887cdbcd8c00d5a1312e10828b95c63f30bc3ea76aea199565390d02 #### quick take Recent recorded grades — Spring 2024: 4.00 GPA, 100.0% A/AB (n=11 letter grades); Spring 2025: 4.00 GPA, 100.0% A/AB (n=7 letter grades); Spring 2026: 4.00 GPA, 100.0% A/AB (n=7 letter grades). ```json { "citations": [ { "course_id": "CIVENGR 678", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d8b822ce-58b6-3fb0-93c5-1ff349691dbb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1244", "type": "grade" }, { "course_id": "CIVENGR 678", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": "d8b822ce-58b6-3fb0-93c5-1ff349691dbb", "file": "tables/observations.parquet", "kind": "grades", "source": "madgrades" }, "table": "grades_latest", "term_id": "1254", "type": "grade" }, { "course_id": "CIVENGR 678", "run_id": "20260907T155543-ce3781c4", "source_record": { "entity_id": 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"condition" }, { "children": [], "condition": "member of Engineering Guest Students", "course": null, "evidence": "member of Engineering Guest Students", "id": "n3", "kind": "condition" } ] ``` #### notes None recorded. #### root n0 #### status parsed ### instructors None recorded. ### offerings None recorded. ### sections None recorded. ### grade instructors ```json [ { "instructor_uid": "instructor_ffa9d9165c93a58850cbc221", "source": "madgrades", "source_instructor_id": "2601066", "identity_basis": "source_id", "identity_status": "source_identified", "name": "BIN RAN", "email": null, "first_observed_at": "2026-09-06 23:14:58.172943+00:00", "last_observed_at": "2026-09-07 15:55:43.033547+00:00", "grade_statistics": { "gpa": 3.942, "graded": 2252, "counts": [ 2060, 142, 41, 4, 3, 2, 0 ], "sections": 222 }, "instructor_url": "/instructors/BIN_RAN--instructor_ffa9d9165c93a58850cbc221" } ] ``` ### grades ```json [ { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": 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"20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 678", "course_uid": "course_a040ba24ca95286d78e7f636", "term_id": "1234", "term_name": "Spring 2023", "instructors": [ "Bin Ran" ], "a": 9, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 9, "source_aliases": [ "CIVENGR 678" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 678", "course_uid": "course_a040ba24ca95286d78e7f636", "term_id": "1244", "term_name": "Spring 2024", "instructors": [ "Bin Ran" ], "a": 11, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 11, "source_aliases": [ "CIVENGR 678" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 678", "course_uid": "course_a040ba24ca95286d78e7f636", "term_id": "1254", "term_name": "Spring 2025", "instructors": [ "Bin Ran" ], "a": 7, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 7, "source_aliases": [ "CIVENGR 678" ] }, { "run_id": "20260907T155543-ce3781c4", "semester": "1272", "observed_at": "2026-09-07 15:55:43.033547+00:00", "course_id": "CIVENGR 678", "course_uid": "course_a040ba24ca95286d78e7f636", "term_id": "1264", "term_name": "Spring 2026", "instructors": [ "Bin Ran" ], "a": 7, "ab": 0, "b": 0, "bc": 0, "c": 0, "d": 0, "f": 0, "satisfactory": 0, "unsatisfactory": 0, "credit": 0, "no_credit": 0, "passed": 0, "incomplete": 0, "no_work": 0, "not_reported": 0, "other": 0, "total": 7, "source_aliases": [ "CIVENGR 678" ] } ] ``` ### statistics #### gpa 3.981 #### graded 53 #### counts * 51 * 2 * 0 * 0 * 0 * 0 * 0 ### grade conflicts None recorded. ### evidence #### history * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course\_a040ba24ca95286d78e7f636-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/history/course_a040ba24ca95286d78e7f636-0.json) #### traces * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course\_a040ba24ca95286d78e7f636-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/traces/course_a040ba24ca95286d78e7f636-0.json) #### results * [/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course\_a040ba24ca95286d78e7f636-0.json](https://uwcourses.com/data/e243353dcb7d79b7247ced91d69443ef4c2a6349/results/course_a040ba24ca95286d78e7f636-0.json) ### revision e243353dcb7d79b7247ced91d69443ef4c2a6349 ## context ### all #### term #### gpa 3.981132075471698 #### count 53 #### university ##### size 3143 ##### gpa Percentile 90 ##### count Percentile 20 ##### median Count 119 ##### histogram | range | count | current | | ------- | ----- | ------- | | 0.0–0.4 | 0 | false | | 0.4–0.8 | 0 | false | | 0.8–1.2 | 0 | false | | 1.2–1.6 | 0 | false | | 1.6–2.0 | 0 | false | | 2.0–2.4 | 0 | false | | 2.4–2.8 | 10 | false | | 2.8–3.2 | 166 | false | | 3.2–3.6 | 756 | false | | 3.6–4.0 | 2211 | true | #### departments ```json [ { "subject": "CIVENGR", "comparison": { "size": 46, "gpaPercentile": 91, "countPercentile": 20, "medianCount": 118, "histogram": [ { "range": "0.0–0.4", "count": 0, "current": false }, { "range": "0.4–0.8", "count": 0, "current": false }, { "range": "0.8–1.2", "count": 0, "current": false }, { "range": "1.2–1.6", "count": 0, "current": false }, { "range": "1.6–2.0", "count": 0, "current": false }, { "range": "2.0–2.4", "count": 0, "current": false }, { "range": "2.4–2.8", "count": 0, "current": false }, { "range": "2.8–3.2", "count": 3, "current": false }, { "range": "3.2–3.6", "count": 14, "current": false }, { "range": "3.6–4.0", "count": 29, "current": true } ] } } ] ``` ### terms #### 1204 ##### term 1204 ##### gpa 3.888888888888889 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1224 ##### term 1224 ##### gpa 4 ##### count 10 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1234 ##### term 1234 ##### gpa 4 ##### count 9 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1244 ##### term 1244 ##### gpa 4 ##### count 11 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1254 ##### term 1254 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | #### 1264 ##### term 1264 ##### gpa 4 ##### count 7 ##### departments | subject | comparison | | ------- | ---------- | | CIVENGR | | ### benchmarks #### all ##### school ###### size 3143 ###### gpa 3.700510183496391 ###### top Share 84.47071099002075 ###### count 119 ##### CIVENGR ###### size 46 ###### gpa 3.6495155621957576 ###### top Share 80.66489630742836 ###### count 118 #### terms ##### 1204 ###### school ###### size 1012 ###### gpa 3.703747431523761 ###### top Share 84.59811226304916 ###### count 65.5 ###### CIVENGR ###### size 14 ###### gpa 3.6226484761288438 ###### top Share 74.92079071686926 ###### count 50.5 ##### 1224 ###### school ###### size 1171 ###### gpa 3.5627882428500937 ###### top Share 76.37271640560496 ###### count 64 ###### CIVENGR ###### size 16 ###### gpa 3.3736940778308147 ###### top Share 59.481413128188514 ###### count 49 ##### 1234 ###### school ###### size 1188 ###### gpa 3.5799441677552393 ###### top Share 77.18256448537606 ###### count 65 ###### CIVENGR ###### size 14 ###### gpa 3.4665052233829408 ###### top Share 67.99195870574239 ###### count 41.5 ##### 1244 ###### school ###### size 1241 ###### gpa 3.5975573126929192 ###### top Share 78.29036874847135 ###### count 65 ###### CIVENGR ###### size 16 ###### gpa 3.456816669430672 ###### top Share 66.26021622206142 ###### count 46.5 ##### 1254 ###### school ###### size 1289 ###### gpa 3.6126423469389106 ###### top Share 79.48050408754871 ###### count 66 ###### CIVENGR ###### size 19 ###### gpa 3.501755911121444 ###### top Share 71.4094131799063 ###### count 46 ##### 1264 ###### school ###### size 1283 ###### gpa 3.6229729166451925 ###### top Share 80.13669149396227 ###### count 66 ###### CIVENGR ###### size 21 ###### gpa 3.55545513949179 ###### top Share 75.0908671021143 ###### count 53 ## instructor Trends ```json [ { "uid": "instructor_ffa9d9165c93a58850cbc221", "name": "BIN RAN", "count": 53, "terms": [ { "term": "1204", "count": 9, "sections": 1, "gpa": 3.888888888888889 }, { "term": "1224", "count": 10, "sections": 1, "gpa": 4 }, { "term": "1234", "count": 9, "sections": 1, "gpa": 4 }, { "term": "1244", "count": 11, "sections": 1, "gpa": 4 }, { "term": "1254", "count": 7, "sections": 1, "gpa": 4 }, { "term": "1264", "count": 7, "sections": 1, "gpa": 4 } ] } ] ``` ## following None recorded.