From e76a21194bdab9ab2fafb0ad6eb7695b607ffb0c Mon Sep 17 00:00:00 2001 From: Maddy Ewins Date: Thu, 19 Sep 2024 18:34:08 -0400 Subject: [PATCH 1/6] update the "category" table --- volumes/short_term_counting_program/README.md | 22 +++++++++---------- 1 file changed, 11 insertions(+), 11 deletions(-) diff --git a/volumes/short_term_counting_program/README.md b/volumes/short_term_counting_program/README.md index bebe18fdd..51743597f 100644 --- a/volumes/short_term_counting_program/README.md +++ b/volumes/short_term_counting_program/README.md @@ -327,17 +327,17 @@ category_name|text|name of the count type or data source #### Category Reference -Category Name|Meaning --------------|------- -24 HOUR|Volume ATR -RESCU|RESCU -CLASS|Vehicle Classification ATR -SPEED|Speed ATR -MANUAL| -PERM STN|Permanent Count Stations -BICYCLE|Bicycle Volume ATR -SPD OCC| -SENSYS SPEED| +Category Name|Status|Meaning +-------------|------|------- +24 HOUR|-|Volume ATR +RESCU|**DO NOT USE.** For current RESCU data and pipeline information, see [volumes/vds](../vds).|Volume ATR data from RESCU permanent counters. Highway and major arterial in-road loop detectors. +CLASS|-|Vehicle Classification ATR +SPEED|-|Speed / Volume ATR +MANUAL|**Don't use this without further investigation.**|Likely counts loaded via manual counting boards. +PERM STN|**Don't use this without further investigation.** Unclear how this is different from other specified permanent counters.|Permanent Count Stations +BICYCLE|**DO NOT USE.** For current Eco-Counter data and pipeline information, see [volumes/ecocounter](../ecocounter).|Bicycle Volume ATR from Eco-Counter permanent count stations, manually loaded via portable device. +SPD OCC|**DO NOT USE.**|Likely a permanent counter that collected speed ("SPD") and occupancy ("OCC") data. +SENSYS SPEED|**DO NOT USE.**|Sensys permanent counters that collected speed data. ## Useful Views From 785f2ab199c70b5546a85990733d55b89a22df22 Mon Sep 17 00:00:00 2001 From: Maddy Ewins Date: Thu, 19 Sep 2024 18:41:24 -0400 Subject: [PATCH 2/6] add reference per rdumas request for where to find what data --- volumes/img/where-to-find-adhoc-count-data.png | Bin 0 -> 51360 bytes volumes/short_term_counting_program/README.md | 5 +++++ 2 files changed, 5 insertions(+) create mode 100644 volumes/img/where-to-find-adhoc-count-data.png diff --git a/volumes/img/where-to-find-adhoc-count-data.png b/volumes/img/where-to-find-adhoc-count-data.png new file mode 100644 index 0000000000000000000000000000000000000000..d2ed69e091954e39bbc5caaf9dc6d0868a962930 GIT binary patch literal 51360 zcmdSAcT`hP*FPHNtEecb2&j};P!yC%7XrbKh*YUkq5@K+x6qPcMTmfaNH2=?-a-i^ zD7}}^Tj-&;5JLKm&-*;@eeYd&t-F4||9-Pp)|xZfbI#1(bLQ;*na>W<)6qC_?EEnR z0B}O{@dE<@;LsQVa3J)^VNQ#18HsZNIN)iZaSu?~EwaqH_{Z+9_FVv=B!Y+W@(}0x zsM}*RPXIvh%HQ7sO#|^Q0H9St^TAz1U#m4{4{GAkpL+Ii;0zVq+29j!al2_)>_~v= zK|FSUet&oSr6%8+?cyuJcWoEr>Sud?&`WRe?@gP}KHGnXxu_a^+1znsm``XvPcc;dL^Nen2K~^9Re)zkfi_s`hD}0~12dE8xuV|7hZWLn{{xn$~t7Bqg;jcwJ>L@R#!bdk7Qiuz)mp-ASV33sdPV zxlf;@3J54z$9zv;nZ&EFjCi5a?u+R+9+>y&MDs{V5MSMm5GrTvmVLhEIwtzGVXy563dHxa`E{VL5x0Y0n&3A^D9r(B_UU7DBw!b%|N^adhH9Rfi zWVoWRnsRnYTEL?r%`AtSyaNlN=d(-I9`EGdmag#`a#bPxD%h%e=KPR<>~tRCt&iWy z6yBCu|K+3+REDV)H1y?0_O2J8MB>dh1Y=~m-_m=3NCp8Tv3d(ir=>Q2UfoUfbINQ1essUIF|81WgBpf5x|m*vI8kO{=@Kqs1Pue(j)TBsn@yLgZI1)@WR@>mScNBt`@{WtrL96j zSZ}UR)e)z;i`AKw(Se|Wkh9?+9->YZgRai=& z?3u!TS#CbVK<<5+Bum(r^`WLq(%_gxYkjliZ>CnP8`jT_C&k456r{_+mok}Y1=o}r zq&8OXcN>2Zdnjsjb+!DYw#mvbD{0Owbe*!c;!ZR+g@r_0J^kH#^;HT&IyRA~dM~ny z58rHfK6E!QWBK5pp|Hl*54O||_>5%Qtkv4r)vL%!{@`!A!7pWDE5c4R=o+3c zxoWqZ>&d=IynaD4MovtvbGR#pu)gSf-eThOV4&pH^o%vroQpsbA<_wCi@N~jECkcovkZ~WtcClz4V=)1Z%6GKmnPSDXm+a{g0&?MP`gvQ59yH!PWG8ZoY`LMipPxz`0X^!1zU zq#rz>P}Jvu5R(=lW(N&hzAU>p;3eIV^bzN1b*o7UX=@w!zWv>752=~4^{MEr z5bXN*x5so-j1@yio5DkUX%E=?7k^sBRoSlQ?m~Ype=R$v9b6n3sx_BujsJF$4z4~! zi5a@`TD`hBV^y&KY2lpuVz}jqOza@;V>MZFl^`8~7QLsY_mYfJUK}_v^HKo%nEo9^ zmxNpm?5_2`xII8WZ=Vg?wiC4!L? z_?M-$L!U-m- z+MaBt+SA0N#fschthC3&@837qzw+zL-t$by@L1FGE8*H&m6er?MV*0{6dj}6WXHZ- zC3QL4V&!*Mt2*rE6jooaK2;>mr#Cv*M0$T>x!9N(C-vkBVpxtUPt>D-cNjWj`W@v& zN7se^TyI*Fu!M=@I|EHDJjTBUL^lm$Ql7LhY839xio{EsP1#b-t~R7*CcCz=(KVgf z8O5oeOD~vo@3_gwuw_#-{Y+wjRCtZwI<$SE!Gn^4UIx*1ZW}EcFKRxh&eqH_sLr<- zBR;b@PbcMgAg8=@DRMjCn*x1dT_(61sy_S+9seZugsbZMY$FV!sooO1wcn-a=^vgd3N8ODRsq&-PFwast^|eaD zje3O3NG^{$U^f#hsH2>g0(s6o7xftnRk>(eUMV~1R@;b4 zbPg%PzUf~TUAHqK?QZaTFI@Bs>CxN>Z5@sAm#;T-l^u>aW&?6VRr*FxRx8C9MXeWP zj#^&erEHv}@P5N)X*g5>$+MTK)i>}eyi#z1Ywk=H49U&irO2(#8^1p$Z@D;Bz<-*E z#XszuQ97rX@Y>U$&?YR>G_*s=MP$GtuB}!_)2yv%)oLd6I!~7&BAYqJC^mPe#CHW} zwtJiwk{kX;btIkQ7q z+d(Q4^X4aV`qAOHcl}?)K-jd$AExpJ2eAUH^xep@V&4_Gvip+=uIl8P&D_S}quK+P zvzu}pY(}{4W@j&zKaxMpM_%;;On)ukD68J=Jqy2@E5XXuQ-(hsd6u04c|er#O{wbwV0I>{_qh#DVnre=ekzvS%aHUG@b z!K6YH*B?il6tpZR^coMKB-3TZE!)o!k>=w3Wic!IaPN#;n3Wjm>b#TPF_(J=kDA@- z+`LzKT4h{vVsHjZn8Xru_1uMHCNNJKu=Ecb8iI^||Dyy*F22wo3=x1SEPlw3CZas8 zv=N%4o2wgJ`hm+Q%>^0Tc{(jLc+F^}OZvshcDm$ddU-+STv~~RVbN-+R9Pbfz#g;#<+9rVpSCtM)pro8Xo)$~}Nt5l> zjn5^tuma{@)4OD5b zgm=a5qorWV>-@D79c@XD-NKElI~Ou7Zm$m2-I1|+0U^&mt^HQVt=&V-*z=a`wp(B1 z2P>A|ls8FQHy{l>*p(r6vmH13wJK#!@jrt^V=g}*O744U;A6&@-_+uDd0h51tHCw4 zC9-pa31g88u4z-eFogB*}xbewz)7SzVP(+9P(2a|sorKq(rGFjs zhB31}Gje^Zv$cRPg`ETKt6(1$>4;TX!2$QRbP8+jhp0Kki1;dnRDCr)GH!_z&ZRa- zJTiB`?XPY{^ODmauN(iG`q+cN?dPhekR&UM{?F zAKaCx<|$HAnq8T_;lK6@vte!iw$Z)vin)kA2nGC{vmE%GvmP9$TNq|Nb;5fFwZ1Pm z0r8)+>a4J+B`7#>4we zd&4W{qu)2){U_-mDa5=%LznJD39E0Sk81n%mReMKy1`CI>#ChU-rX3pc19eg9mls& zvUhbpmkB==(0RT4C}U?*c)PjWW5tnD-#sI(yGE#WFoR81`=?0+sDxY84IUlur(Hh; z7@0<1Mn6UVU<9aFEkyxiq3;{1P&Q52emKH22{roXdjA{Z!^j=IE#5|7-gj$} zr?N=ZDIxfmLo=PXVIP+cpfkz*)f&?4gC%YFDPVNSc#nYvuWr+gus^8X?xi&)oxmcf zP``OyNu}Y2n9^R& z^NSp}(fGuE!V~J^6N{t@Z3T(2FN@KcpFL)#4rKu6%2pG|NvaO%%BlWoJMt!k<4OK= zXT?b48Hz1Qo(FNYf^8#jtM7wus%ufJsqS8re*5Ggc3;!ui^;Xez{=tIH;0cVSHrvy z*57r&+ePF2
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what data?](#where-can-i-find-what-data) - [How is the data structured?](#how-is-the-data-structured) - [Core Tables](#core-tables) - [Other Useful Tables](#other-useful-tables) @@ -114,6 +115,10 @@ Internal to the Transportation Data & Analytics team, data flows from legacy Ora Look in the `traffic` schema for all ad-hoc data tables. +## Where can I find what data? + +!['where-to-find-data'](../img/where-to-find-adhoc-count-data.png) + ## How is the data structured? ### Core Tables From f2e2665015db6ec55bbf78b889d40bbcfe852006 Mon Sep 17 00:00:00 2001 From: Maddy Ewins Date: Fri, 20 Sep 2024 10:56:52 -0400 Subject: [PATCH 3/6] remove now-redundant file this document is now redundant with the main README.md file --- .../Tables in Flow.md | 122 ------------------ 1 file changed, 122 deletions(-) delete mode 100644 volumes/short_term_counting_program/Tables in Flow.md diff --git a/volumes/short_term_counting_program/Tables in Flow.md b/volumes/short_term_counting_program/Tables in Flow.md deleted file mode 100644 index 819f939fa..000000000 --- a/volumes/short_term_counting_program/Tables in Flow.md +++ /dev/null @@ -1,122 +0,0 @@ -# FLOW TABLES -This document provides an overview of the tables in FLOW (The City's traffic count database) that have being extracted to feed into the centralized Postgres database, and sepcifically acting as the raw data input to build city-wide volume profiles for all City roads. -The relationships between the relevant tables are shown below. The database is structured aroudn three types of tables: Automatic Traffic Recorder(ATR) counts, manual Turning Movement Counts (TMC) and couunt information tables that detail the geography and count request information. - -!['flow_tables_relationship'](img/flow_tables_relationship.png) - -More details on each individual table are presented below. Note there are additional fields in the raw tables that are not listed below as they are not relevant to the study scope. - -## countinfomics -### Content -This table contains the location, date, and source for each count_info_id. This table contains turning movement counts information exclusively. - -### Table Structure -Field Name|Type|Description -----------|----|----------- -count_info_id|bigint|ID number linked to [det](#det) table containing detailed count entries -arterycode|bigint|ID number linked to [arterydata](#arterydata) table containing information for the count location -count_date|date|date on which the count was conducted -day_no|bigint|day of the week -category_id|int|ID number linked to [category](#category) table containing the source of the count - -## det -### Content -This table contains individual data entries for turning movement counts - -### Table Structure -Field Name|Type|Description -----------|----|----------- -ID|Autonumber|Autonumber function -COUNT_INFO_ID|number|ID number linked to [countinfomics](#1. countinfomics) table containing higher-level information -COUNT_TIME|Date/Time|Effective time of counts (time displayed is the end time period) -N_CARS_R|number|S/B cars turning right -N_CARS_T|number|S/B cars going through -N_CARS_L|number|S/B cars turning left -S_CARS_R|number|N/B cars turning right -S_CARS_T|number|N/B cars going through -S_CARS_L|number|N/B cars turning left -E_CARS_R|number|W/B cars turning right -E_CARS_T|number|W/B cars going through -E_CARS_L|number|W/B cars turning left -W_CARS_R|number|E/B cars turning right -W_CARS_T|number|E/B cars going through -W_CARS_L|number|E/B cars turning left -N_TRUCK_R|number|S/B trucks turning right -N_TRUCK_T|number|S/B trucks going through -N_TRUCK_L|number|S/B trucks turning left -S_TRUCK_R|number|N/B trucks turning right -S_TRUCK_T|number|N/B trucks going through -S_TRUCK_L|number|N/B trucks turning left -E_TRUCK_R|number|W/B trucks turning right -E_TRUCK_T|number|W/B trucks going through -E_TRUCK_L|number|W/B trucks turning left -W_TRUCK_R|number|E/B trucks turning right -W_TRUCK_T|number|E/B trucks going through -W_TRUCK_L|number|E/B trucks turning left -N_BUS_R|number|S/B buses turning right -N_BUS_T|number|S/B buses going through -N_BUS_L|number|S/B buses turning left -S_BUS_R|number|N/B buses turning right -S_BUS_T|number|N/B buses going through -S_BUS_L|number|N/B buses turning left -E_BUS_R|number|W/B buses turning right -E_BUS_T|number|W/B buses going through -E_BUS_L|number|W/B buses turning left -W_BUS_R|number|E/B buses turning right -W_BUS_T|number|E/B buses going through -W_BUS_L|number|E/B buses turning left -N_PEDS|number|North side pedestrians -S_PEDS|number|South side pedestrians -E_PEDS|number|East side pedestrians -W_PEDS|number|West side pedestrians -N_BIKE|number|S/B bicycles from the north side -S_BIKE|number|N/B bicylcles from the south side -E_BIKE|number|W/B bicycles from the east side -W_BIKE|number|E/B bicycles from the west side -N_OTHER|number|North side - optional field -S_OTHER|number|South side - optional field -E_OTHER|number|East side - optional field -W_OTHER|number|West side - optional field - -## countinfo -### Content -Similar to [countinformics](#countinfomics), this table contains the location, date, and source for each count_info_id from all sources other than turning movement counts. - -### Table Structure -See [countinformics](#countinfomics) - -## cnt_det -### Content -This table contains individual data entries from all sources other than turning movement counts. - -### Table Stucture -Field Name|Type|Description -----------|----|----------- -count_info_id|bigint|ID number linked to [countinfo](#countinfo) table containing higher-level information -count|bigint|vehicle count -timecount|Date/Time|Effective time of counts (time displayed is the end time period) - -## arterydata -### Content -This table contains the location information of each volume count. - -### Table Structure -Field Name|Type|Description -----------|----|----------- -arterycode|bigint|ID number referred to by [countinformics](#countinfomics) and [countinfo](#countinfo) -street1|text|first street name -street2|text|second street name -location|text|full description of count location -apprdir|text|direction of the approach referred to by this arterycode -sideofint|text|the side of the intersection that the arterycode refers to -linkid|text|in the format of 8digits @ 8digits, with each 8 digits referring to a node - -## category -### Content -This is a reference table referencing the data source of each entry. - -### Table Structure -Field Name|Type|Description -----------|----|----------- -category_id|int|ID number referred to by [countinformics](#countinfomics) and [countinfo](#countinfo) -category_name|text|name of the data source From 3a705303615bf27d058dc2093b19910de2172393 Mon Sep 17 00:00:00 2001 From: Maddy Ewins Date: Fri, 20 Sep 2024 11:17:15 -0400 Subject: [PATCH 4/6] demystify CAL add some context about the "cal" data dictionary --- volumes/short_term_counting_program/cal_dictionary.md | 6 ++++++ 1 file changed, 6 insertions(+) diff --git a/volumes/short_term_counting_program/cal_dictionary.md b/volumes/short_term_counting_program/cal_dictionary.md index 51346ee29..b2629008e 100644 --- a/volumes/short_term_counting_program/cal_dictionary.md +++ b/volumes/short_term_counting_program/cal_dictionary.md @@ -1,3 +1,9 @@ +## What is `TRAFFIC.CAL`? + +This is an old FLOW table (`TRAFFIC.CAL`) in the legacy Oracle database. It appears to contain Turning Movement Count (TMC) summary statistics for AM peak, PM peak, off peak, and 8-hour totals for a TMC study. These include by direction, mode, and movements. + +## Column List + Field Name|Type|Description ----------|----|---------- ID|Autonumber|Autonumber function From dbd305888401c8a1de6ca0e57cb884c4df27e8f2 Mon Sep 17 00:00:00 2001 From: Maddy Ewins Date: Fri, 4 Oct 2024 15:10:21 -0400 Subject: [PATCH 5/6] update traffic_ to traffic. --- volumes/short_term_counting_program/README.md | 13 ++++++++++++- 1 file changed, 12 insertions(+), 1 deletion(-) diff --git a/volumes/short_term_counting_program/README.md b/volumes/short_term_counting_program/README.md index a2a0e0202..613c7cfd6 100644 --- a/volumes/short_term_counting_program/README.md +++ b/volumes/short_term_counting_program/README.md @@ -117,7 +117,18 @@ Look in the `traffic` schema for all ad-hoc data tables. ## Where can I find what data? -!['where-to-find-data'](../img/where-to-find-adhoc-count-data.png) +| Study Type // Loading Mechanism | FlowLoad (`traffic.*`) | MOVE Loader (`traffic.atr_*`) | Spectrum API Loader (`traffic.tmc_*`) | +|---------------------------------|--------------------------------------------------|--------------------------------------|---------------------------------------| +| Turning Movement Count | All-time TMC data* | n/a | September 2023 to present | +| Volume ATR | All-time Volume ATRs** | n/a | n/a | +| Speed / Volume ATR | All-time Speed/Vol ATRs* | May 2023 to present | n/a | +| Vehicle Classification ATR | Classification ATR data from 1985 to May 2023*** | No Classification ATR data loaded*** | n/a | + +*The `traffic.*` tables contain all-time TMC and Speed/Vol ATR data from all loading mechanisms + +**Around 2021, we stopped collecting Volume-only ATR counts, and switched to Speed/Vol ATR counts, as they're a similar price but more data rich + +***Classification ATR data is spotty for two reasons: 1) the legacy loader did not allow for co-located Speed/Vol ATR and Classification ATR data to be loaded for the same day; 2) there is curently no loading mechanism for Classification ATR data post-May 2023, when the MOVE Loader was introduced. ## How is the data structured? 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