Estimate the stacking
How this works
A stacking lane holds the cars waiting to enter the wash, and in nearly every code our research reviewed it is set as a fixed count of spaces. Lynnwood requires 2 per wash bay plus the vehicle in the bay, with 1 space beyond the bay, or 3 if hand drying or detailing, under LMC 21.18.810 [1]. Pompano Beach requires 4 per bay for an automatic car wash under Table 155.5101.G.8.a [2], and Maricopa requires 4 per bay for an automated or self-service wash and a minimum of 8 for a full-service wash under MCC 18.120.090 [3]. A preliminary site plan carries that count in its site data, against the stacking the layout provides.
Choose the jurisdiction and the category its code uses, and the calculator reads that one row. Texas City requires 3 per self-service drive-through or automated bay, plus the bay, and 7 for a full-service wash, a vacuum lane or a pump lane under §160.081(C) [4]. Cedar Hill requires 3 per automated bay plus the bay, and 4 per lane for a full-service wash [5]. Houston counts 2.5 spaces per bay or stall for stacking at an automated wash and 1 per bay at any other car wash under Sec. 26-492, Class 9 [6]. Philadelphia's Table 14-805-1 sets 6 stacking spaces for a full-service car wash [7]. Where a row says per bay or per lane, the calculator multiplies it by the bays or lanes entered; where it states a count, the calculator shows that count and does not multiply it. The car wash site plan page shows how the stacking lane shapes the rest of the layout.
Which category a conveyor tunnel or an in-bay automatic falls in is set by each code's own definitions, which our research did not verify, so the calculator asks for the category in the code's words and never assigns one.
The queue estimate
Fixed counts are the usual rule, but where a code or a reviewer asks for an analysis, the measure is the 95th-percentile queue. An approved transportation impact study for a car wash in Pittsburg, California states: "The 95th-percentile queue is generally applied as the acceptable limit for on-site circulation impacts" [8]. TxDOT's manual defines the 95th-percentile queue as the queue with "a five percent probability of being exceeded" [9].
The calculator models each tunnel, bay or lane as a single-server queue (M/M/1) and splits the design arrivals evenly among the wash lines. Utilization is the arrival rate at one line divided by its service rate. In that queue, the chance of more than n vehicles at the line is the utilization raised to the power n plus one, so the 95th-percentile queue is the smallest whole n for which that chance is five percent or less, the definition TxDOT's manual gives [9]. When arrivals reach or pass the service rate, utilization is one or more and the queue has no steady state: it grows without bound at that rate, and the calculator says so instead of giving a figure. The count includes the vehicle being served, so where a code counts its stacking spaces plus the bay, the estimate holds one vehicle the code counts separately.
The service rate matters more than any other input. In the Pittsburg study, the operator put the tunnel at about 60 vehicles per hour, 1 vehicle per minute, with no tunnel length stated [8], and the calculator uses that operating rate, labelled observed in approvals, unless you enter your own. An equipment design calculation sheet puts nominal capacity at the tunnel length in feet per hour, 100 per hour for a 100 ft tunnel, at a standard conveyor speed of tunnel length divided by 150 seconds, with a 17 ft vehicle [10]. The calculator shows that manufacturer figure beside the estimate and never sizes the queue to it. No row gives a service rate for an in-bay automatic or a self-serve bay, so for those the queue needs the rate you expect the bay to serve.
One study in our research gives queues observed at working washes, and the calculator shows it beside a tunnel estimate, labelled observed in approvals. A traffic evaluation dated 11/26/2025, filed for a car wash in West Town, Pennsylvania, reports an average peak queue of 16 vehicles on a Saturday midday, observed at 4 sites in Maryland and Virginia with 5-minute observations, not at the West Town site [11]. The express car wash in Mansfield, Texas and the express car wash in Hillsborough County, Florida case studies show stacking lanes drawn for that kind of demand.
Space size and lane length
Codes size each stacking space as well as counting them. Lynnwood's space is 20 ft x 10 ft, 12 ft wide on curves [1]; Texas City's is 8 ft x 20 ft [4], and Cedar Hill's the same [5]; Pompano Beach's is 9 ft x 18 ft [2]; and Maricopa's is a 12 ft x 20 ft aisle [3]. Philadelphia sets a 10 ft minimum lane width, a 20 ft setback of the stacking lane from property lines, and a raised median, curb or landscape between stacking and bypass lanes [7]. Where the jurisdiction's space size is verified, the calculator multiplies the 95th-percentile queue by the space length to give the stacking lane in feet per wash line. The Texas car wash site plan and Florida car wash site plan pages cover the state approval paths around that lane.
Trips, traffic studies and turn lanes
ITE's 11th Edition counts an automated car wash, land use 948, by its tunnels, and a traffic memo filed in California states that "ITE does not have an ADT rate or AM Peak Hour trip rate for Land Use Code 948" [12]. A car wash trip generation memo filed with Lee's Summit, Missouri, reports 78 PM peak trips for one tunnel and notes that AM and daily are not provided [13]. The calculator multiplies that rate by the tunnels entered and labels it with its edition. A self-serve wash is counted per wash stall under land use 947, at 5.54 PM peak trips per stall, a value the 10th and 9th Editions share [14]; no row gives a rate per in-bay automatic, so none is computed for one.
Traffic study thresholds are set by each state's transportation department for access to its highways, and the calculator shows the rows of the jurisdiction's state. Arizona's TGP 240 calls for a traffic impact analysis at 100 or more trips in any one hour, Category I from 100 to under 500 and Category II at 500 or more, and a traffic statement under 100, including turn-lane analysis per TGP 245/430 [15]. Pennsylvania's policy of 6/4/2025 sets 3,000 or more trips per day, or 150 or more entering or exiting in any one hour [16]. Minnesota recommends a study at 250 or more peak-hour trips or 2,500 new daily trips [17]. Texas has no single statewide trip threshold, and TxDOT's Access Management Manual says its scenarios "should not be used as thresholds" [18]; the TxDOT Houston District calls for a major study at 150 or more peak-hour trips or 1,500 or more daily trips [19].
The calculator compares its PM peak estimate only with a trigger that counts trips in a peak hour or in any one hour, and states every other trigger as written. At 78 PM peak trips, one tunnel stays below Arizona's 100-trip line [13, 15]. Turn-lane warrants count turning vehicles at a driveway, which the calculator does not estimate. Arizona's TGP 245 sets right-turn lanes by advancing volume: for 1 lane at 45 mph or more, 30 vph at 201 to 300 advancing, falling to 3 at over 1,400 [20]. Left-turn lanes are warranted at 30 vph under 45 mph, or 15 at 45 mph or more, when advancing volume is under 200 [20]. The calculator shows those rows as stated.
Where a city's parking table names a car wash, the calculator adds it by the code's own condition: Houston requires 2.5 per bay or stall for stacking at an automated wash and 1.0 per bay or stall for all other car washes [6]. The parking requirements lookup holds the same rows beside other uses, and the car wash visualization page shows how a stacking lane reads in a rendered site plan.
The rows in the calculator
50 verified code values, each cited to the code, ordinance, statute or agency manual it comes from, and the reference figures beside them with their labels, as researched on October 11, 2026. A value is stored exactly as its source writes it; the calculator does the arithmetic.
Car wash stacking minimums by jurisdiction
| Jurisdiction | Category, in the code's words | Minimum as stored | Unit | Condition | Citation |
|---|---|---|---|---|---|
| Bloomington, Indiana | Automated car wash | 4 | stacking spaces per bay or lane | UDO Table 4-12 (Amendment 23, 2019)[21] | |
| Cedar Hill, Texas | Automated car wash | 3 | stacking spaces per automated bay | plus the bay | Zoning Art. 5 (m)[5] |
| Cedar Hill, Texas | Full-service car wash | 4 | stacking spaces per lane | Zoning Art. 5 (m)[5] | |
| Houston, Texas | Automated car wash | 2.5 | stacking spaces per bay or stall | Code Sec. 26-492, Class 9[6] | |
| Houston, Texas | Other car wash | 1 | stacking spaces per bay | Code Sec. 26-492, Class 9[6] | |
| Lynnwood, Washington | Automated car wash | 2 | stacking spaces per wash bay | plus the vehicle in the bay | LMC 21.18.810[1] |
| Lynnwood, Washington | Automated car wash: beyond the bay | 1 | spaces beyond the bay | LMC 21.18.810[1] | |
| Lynnwood, Washington | Automated car wash: beyond the bay | 3 | spaces beyond the bay | if hand drying or detailing | LMC 21.18.810[1] |
| Lynnwood, Washington | Self-serve car wash | 1 | stacking spaces per bay | LMC 21.18.810[1] | |
| Maricopa, Arizona | Automated car wash | 4 | stacking spaces per bay | MCC 18.120.090, Table 18.120.090.D[3] | |
| Maricopa, Arizona | Self-serve car wash | 4 | stacking spaces per bay | MCC 18.120.090, Table 18.120.090.D[3] | |
| Maricopa, Arizona | Full-service car wash | 8 | stacking spaces (minimum) | MCC 18.120.090, Table 18.120.090.D[3] | |
| Philadelphia, Pennsylvania | Full-service car wash | 6 | stacking spaces | full-service car wash | Phila. Code 14-805(2), Table 14-805-1[7] |
| Pompano Beach, Florida | Automated car wash | 4 | stacking spaces per bay | Table 155.5101.G.8.a[2] | |
| Texas City, Texas | Automated car wash | 3 | stacking spaces per bay | per self-service drive-through or automated bay, plus the bay | §160.081(C)[4] |
| Texas City, Texas | Full-service car wash | 7 | stacking spaces | §160.081(C)[4] | |
| Texas City, Texas | Vacuum lane | 7 | stacking spaces | §160.081(C)[4] | |
| Texas City, Texas | Open bay | 2 | stacking spaces | §160.081(C)[4] |
Spaces beyond the bay are stated, never added to the stacking count. A row that states a count without "per" is shown as the code states it and not multiplied.
Stacking space size and lane rules
| Jurisdiction | Dimension | As stored | Unit | Condition | Citation |
|---|---|---|---|---|---|
| Cedar Hill, Texas | Stacking space | 8 ft x 20 ft | width x length | Zoning Art. 5 (m)[5] | |
| Lynnwood, Washington | Stacking space | 20 ft x 10 ft | length x width | 12 ft wide on curves | LMC 21.18.810[1] |
| Maricopa, Arizona | Stacking space | 12 ft x 20 ft | width x length (aisle) | MCC 18.120.090, Table 18.120.090.D[3] | |
| Pompano Beach, Florida | Stacking space | 9 ft x 18 ft | width x length | Table 155.5101.G.8.a[2] | |
| South Elgin, Illinois | Stacking space | 9 ft x 18 ft | width x length | UDO §156.08.I[22] | |
| Texas City, Texas | Stacking space | 8 ft x 20 ft | width x length | §160.081(C)[4] | |
| Tyler, Texas | Stacking space | 9 ft x 20 ft | width x length | UDC Sec. 10-389[23] | |
| Philadelphia | Lane width | 10 | ft (minimum) | Phila. Code 14-805(2), Table 14-805-1[7] | |
| Philadelphia | Bypass separation | raised median, curb or landscape | separation of stacking lanes from bypass lanes | Phila. Code 14-805(2), Table 14-805-1[7] | |
| Philadelphia | Stacking lane setback | 20 | ft from property lines | stacking lane setback | Phila. Code 14-805(2), Table 14-805-1[7] |
Accessible parking stalls, every jurisdiction
| Dimension | As stored | Condition | Citation |
|---|---|---|---|
| Car space width | 96 in | measured to centerline of markings | 2010 ADA Standards 502.1, 502.2[24] |
| Van space width | 132 in | van space | 2010 ADA Standards 502.2[24] |
| Access aisle width | 60 in | car and van | 2010 ADA Standards 502.3.1[24] |
Throughput and observed queues
The operating rate is the calculator's default service rate for a tunnel. The nameplate is shown beside it and never used to size the queue. The observed queues sit beside every tunnel estimate.
| Figure | As stored | Condition | Where and what | Label |
|---|---|---|---|---|
| Nameplate | 100 cars per hour | 100 ft tunnel; capacity = tunnel length in ft at the standard conveyor speed; 17 ft vehicle | United States; equipment design calculation sheet[10] | manufacturer figure |
| Nameplate | 150 seconds (standard conveyor speed = tunnel length / 150 s) | 0.67 ft/s on a 100 ft tunnel | United States; equipment design calculation sheet[10] | manufacturer figure |
| Operating rate | 60 vehicles per hour | about 60 (1 vehicle per minute); tunnel length not stated | Pittsburg, California; approved TIS[8] | observed in approvals |
| Observed queue | 16 vehicles (average peak queue) | Saturday midday; 5-minute observations at the 4 sites, not at the West Town site | 4 sites in Maryland and Virginia (traffic evaluation filed in West Town, PA); traffic evaluation dated 11/26/2025[11] | observed in approvals |
Not verified in our research: the tunnel queue of the Pittsburg, California study, the queues observed at in-bay washes at fuel stations, and a further observed tunnel queue whose only source is a machine-written meeting summary.
Trip rates
| ITE land use | Period | Rate as stored | Edition and source | Label |
|---|---|---|---|---|
| 948 | PM peak hour | 78 trips per car wash tunnel | ITE Trip Generation, 11th Edition (2021), as republished in a car wash trip generation memo filed with the City of Lee's Summit, MO[13] | published trip rate |
| 947 | PM peak hour | 5.54 trips per wash stall | ITE Trip Generation, 11th Edition, as republished in the City of Phoenix, OR SDC table (same value in the 10th and 9th Editions)[14] | published trip rate |
Not verified in our research: daily, AM peak and Saturday rates for these land uses, and a rate per in-bay automatic.
Traffic study triggers in these states
| State or district | Study | Threshold as stored | Condition | Citation and edition |
|---|---|---|---|---|
| Arizona | TIA Category I | 100 trips in any one hour | Category I: 100 to under 500 | ADOT TGP 240, Aug. 2021[15] |
| Arizona | TIA Category II | 500 trips in any one hour | ADOT TGP 240, Aug. 2021[15] | |
| Arizona | traffic statement | 100 trips in any one hour | under 100: a traffic statement, including turn-lane analysis per TGP 245/430 | ADOT TGP 240, Aug. 2021[15] |
| Minnesota | TIS (recommended) | 250 peak-hour trips | recommended threshold | MnDOT Access Management Manual, Ch. 5[17] |
| Minnesota | TIS (recommended) | 2,500 new daily trips | recommended threshold | MnDOT Access Management Manual, Ch. 5[17] |
| Pennsylvania | TIS | 3,000 trips per day | Condition 1 (daily volume) | Policies and Procedures for Transportation Impact Studies and Assessments, Condition 1, 6/4/2025 (SOL 494-25-07)[16] |
| Pennsylvania | TIS | 150 trips entering or exiting in any one hour | Condition 2 (hourly volume) | Policies and Procedures for Transportation Impact Studies and Assessments, Condition 2, 6/4/2025 (SOL 494-25-07)[16] |
| Texas | No single statewide trip threshold | TxDOT Access Management Manual, Access Management Manual (2011)[18] | ||
| TxDOT Houston District | major study | 150 peak-hour trips | TxDOT Houston District only | Houston District Traffic Study Guidelines[19] |
| TxDOT Houston District | major study | 1,500 daily trips | TxDOT Houston District only | Houston District Traffic Study Guidelines[19] |
Traffic study trigger not verified in our research for: Florida; Illinois; Indiana; Maryland; Washington; nor the lower tiers of the TxDOT Houston District guidelines, or Houston's own city trigger.
Turn-lane warrants in these states
| State | Turn and lane | Warrant as stored | Condition | Citation | Label |
|---|---|---|---|---|---|
| Arizona | Right turn, turn lane | 30 right turns per hour (vph) | 1 lane at 45 mph or more, advancing volume 201 to 300 (an example value from the table) | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Right turn, turn lane | 3 right turns per hour (vph) | 1 lane at 45 mph or more, advancing volume over 1,400 | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Right turn, turn lane | 85 right turns per hour (vph) | 1 lane under 45 mph, advancing volume 401 to 500 (an example value from the table) | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Right turn, turn lane | 5 right turns per hour (vph) | 1 lane under 45 mph, the lowest value as the table falls ("falling to 5"); the pack does not give the advancing volume for it | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Left turn, turn lane | 30 left turns per hour (vph) | 1 lane, under 45 mph, advancing volume under 200 | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Left turn, turn lane | 15 left turns per hour (vph) | 1 lane, 45 mph or more, advancing volume under 200 | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Left turn, turn lane | 12 left turns per hour (vph) | at most higher advancing volumes (the pack does not list them) | TGP 245, Jan. 2019[20] | Code or agency rule |
| Arizona | Turns, dual turn lanes | 300 turns per hour (vph) | dual lanes considered | TGP 245, Jan. 2019[20] | agency guidance |
| Texas | Left turn, deceleration | at all access points on non-traversable (raised) medians | non-traversable (raised) median | Access Management Manual, Table 2-3[25] | agency guidance |
Turn-lane warrants not verified in our research for: Florida; Illinois; Indiana; Maryland; Minnesota; Pennsylvania; Washington; nor the Texas right-turn deceleration and acceleration values.
Parking for a car wash
| Jurisdiction | Condition | Ratio as stored | Unit | Citation |
|---|---|---|---|---|
| Houston, Texas | Automated | 2.5 | per bay or stall for stacking | Code of Ordinances Sec. 26-492 Class 9(c), (d)[6] |
| Houston, Texas | all other | 1.0 | per bay or stall | Code of Ordinances Sec. 26-492 Class 9(c), (d)[6] |
A car wash parking minimum is not verified in our research for the other jurisdictions in the calculator.
Jurisdictions not verified in our research
For these jurisdictions our research did not verify a car wash stacking count from the code itself, so the calculator reports the minimum as not verified in our research and still computes the queue and the trips.
- South Elgin, Illinois
- Calvert County, Maryland
- Saint Paul, Minnesota
- Dallas, Texas
- Tyler, Texas
- Most other large US cities
Worked examples
Computed by the calculator's own engine from the rows above when this page was built.
- Jurisdiction
- (az-maricopa)
- How the wash runs
- (tunnel)
- The code's category
- (car-wash-automated)
- Tunnels, bays or lanes
- 1
- Design arrival rate, vehicles per hour
- 45
- Reading
- Code stacking minimum
- ,
- Stacking space
- The queue, step by step
- Queue at the th percentile, vehicles per wash line
- Stacking lane
- Against the code
- Observed queue,
- ,
- PM peak hour trips
- Trip rate edition
- Traffic study,
- Traffic study,
- Traffic study,
- Not verified in our research
- ; ; ; ;
- Jurisdiction
- (tx-houston)
- How the wash runs
- (in-bay)
- The code's category
- (car-wash-automated)
- Tunnels, bays or lanes
- 2
- Design arrival rate, vehicles per hour
- 30
- Service rate entered, vehicles per hour
- 12
- Reading
- Code stacking minimum
- ,
- The queue, step by step
- PM peak hour trips
- Traffic study,
- Traffic study,
- Traffic study,
- Parking,
- Parking,
- Not verified in our research
- ; ; ; ; ; ; ;
- Jurisdiction
- (wa-lynnwood)
- How the wash runs
- (self-serve)
- The code's category
- (car-wash-self-serve)
- Tunnels, bays or lanes
- 4
- Design arrival rate, vehicles per hour
- 20
- Service rate entered, vehicles per hour
- 8
- Reading
- Code stacking minimum
- ,
- Stacking space
- The queue, step by step
- Queue at the th percentile, vehicles per wash line
- Stacking lane
- Against the code
- PM peak hour trips
- Trip rate edition
- Not verified in our research
- ; ; ; ; ; ;
What the calculator leaves out
The calculator shows a stacking minimum only where our research verified it from the code. Saint Paul, Dallas and Tyler have no car wash stacking count verified in our research, and Calvert County's queuing rule is a draft ordinance, not adopted, so the calculator lists all four as not verified in our research. South Elgin's code is in the table for its space size, but its car wash count is not verified in our research. Codes for most other large US cities were not retrieved in our research.
The queue is a model, not a count. The single-server queue assumes vehicles arrive at random and are served at random intervals; a conveyor serves at a steadier pace, so the model tends to give a longer queue than a model with fixed service times. The arrivals are the ones you design for, and the calculator does not estimate them. An in-bay automatic at a fuel station is its own case: no row verifies its queue or its service rate, and no trip rate per in-bay automatic is computed.
Trip rates move between editions. A traffic evaluation for an express car wash cites ITE 12th Edition (2025) and PennDOT Pub 282 (June 2025), because the observed rates were higher than ITE's [11]. The calculator's rates are the 11th Edition values as republished by agencies and studies, and the daily, AM peak and Saturday rates for land use 948 are not verified in our research.
Codes change, and a condition of approval or a reviewer's queuing analysis can require more stacking than the code minimum. The calculator reads every row as researched on October 11, 2026, and a car wash site plan should be checked against the code in force when the application is filed.
Frequently asked questions
How many stacking spaces does a car wash need?
It depends on the code. Pompano Beach requires 4 per bay for an automatic car wash [2], Texas City 3 per self-service drive-through or automated bay, plus the bay [4], and Lynnwood 2 per wash bay plus the vehicle in the bay [1]. Observed queues at express tunnels run longer: a 2025 traffic evaluation measured an average peak queue of 16 vehicles on a Saturday midday at 4 sites in Maryland and Virginia [11].
How many trips does an express car wash generate?
Does a car wash need a traffic impact study?
It depends on the state and the city. Arizona's threshold is 100 or more trips in any one hour [15], Pennsylvania's is 3,000 or more trips per day or 150 or more entering or exiting in any one hour [16], and Minnesota recommends a study at 250 or more peak-hour trips or 2,500 new daily trips [17]. One tunnel's PM peak estimate of 78 trips is below each of those hourly figures [13], but a car wash's Saturday peak is not covered by that rate, and the Saturday rate is not verified in our research.
How many cars per hour can a car wash tunnel handle?
An equipment design calculation sheet puts nominal capacity at the tunnel length in feet per hour, 100 per hour for a 100 ft tunnel; that is a manufacturer figure [10]. The approved Pittsburg, California study used an operating rate of about 60 vehicles per hour, 1 vehicle per minute, as the operator stated it [8].
Sources
- 1)LMC 21.18.810, Stacking lanes for drive-through facilities, City of Lynnwood. Accessed 2026-10-11.
- 2)Table 155.5101.G.8.a, Minimum stacking spaces for drive-through and related uses, City of Pompano Beach. Accessed 2026-10-11.
- 3)MCC 18.120.090, Drive-in and drive-through facilities, including fast-food facilities, City of Maricopa. Accessed 2026-10-11.
- 4)Sec. 160.081, Off-street parking requirements, City of Texas City. Accessed 2026-10-11.
- 5)Zoning Article 5, Development standards, City of Cedar Hill. Accessed 2026-10-11.
- 6)Code of Ordinances Sec. 26-492, parking spaces for certain types of use classifications, City of Houston, Planning and Development Department. Accessed 2026-10-11.
- 7)Phila. Code 14-805(2), Table 14-805-1, City of Philadelphia. Accessed 2026-10-11.
- 8)Car wash transportation impact study, Pittsburg, California (CEQAnet 280706). Accessed 2026-10-11.
- 9)TSP Manual, 4.5.5 Queue Length, Texas Department of Transportation. Accessed 2026-10-11.
- 10)Tunnel water loads, equipment design calculation sheet for a 100 ft tunnel. Accessed 2026-10-11.
- 11)Traffic Evaluation 2025-11-26. Accessed 2026-10-11.
- 12)Car wash trip generation memo (CEQAnet 278793). Accessed 2026-10-11.
- 13)Car Wash Trip Generation Memo, City of Lee's Summit, Missouri, development services. Accessed 2026-10-11.
- 14)ITE Trip Generation Manual, 11th Edition, system development charge table, City of Phoenix, Oregon. Accessed 2026-10-11.
- 15)TGP 240, Traffic Impact Analysis and Statement, Arizona Department of Transportation. Accessed 2026-10-11.
- 16)Policies and Procedures for Transportation Impact Studies and Assessments (6/4/2025), Pennsylvania Department of Transportation. Accessed 2026-10-11.
- 17)Access Management Manual, Chapter 5, Minnesota Department of Transportation. Accessed 2026-10-11.
- 18)Access Management Manual: Engineering Study versus Traffic Impact Analysis (TIA), Texas Department of Transportation. Accessed 2026-10-11.
- 19)TxDOT Houston District Traffic Study Guidelines, Texas Department of Transportation, Houston District. Accessed 2026-10-11.
- 20)TGP 245, turn-lane guidelines, Arizona Department of Transportation. Accessed 2026-10-11.
- 21)UDO Table 4-12 (Amendment 23, 2019). Accessed 2026-10-11.
- 22)§ 156.08.I Vehicular Stacking Requirements. Accessed 2026-10-11.
- 23)Sec. 10-389. Drive-Through Stacking Requirements. Accessed 2026-10-11.
- 24)U.S. Access Board - Chapter 5: General Site and Building Elements. Accessed 2026-10-11.
- 25)Auxiliary Lanes. Accessed 2026-10-11.
Rules as researched on October 11, 2026. Each row of the table carries its own date.
Start a project with these numbers
Send the site and the program. The studio reads your inputs and the result above with the brief, and replies to scope the preliminary site plan.