{
  "fetched_at": "2026-10-19T14:23:43Z",
  "source_url": "https://www.kaggle.com/competitions/bigquery-geotab-intersection-congestion/data",
  "pages": [
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      "name": "rules",
      "content": "### One account per participant\n\nYou cannot sign up to Kaggle from multiple accounts and therefore you cannot submit from multiple accounts.\n\n### Use of Automated Machine Learning Tools (AMLT)\nAs further described in the Rules, this Competition permits the use of automated machine learning tool(s) (“AMLT”) in the creation of Submissions. AMLT Teams (as defined in the Rules) are not eligible to win any prizes. \n\n### No private sharing outside teams\n\nPrivately sharing code or data outside of teams is not permitted. It's okay to share code if made available to all participants on the forums.\n\n### Team Mergers\n\nTeam mergers are allowed and can be performed by the team leader. In order to merge, the combined team must have a total submission count less than or equal to the maximum allowed as of the merge date. The maximum allowed is the number of submissions per day multiplied by the number of days the competition has been running. AMLT Teams are not permitted to enter into a Team merger. \n\n### Team Limits\n\nThe maximum team size is 5.\n\n### Submission Limits\n\nYou may submit a maximum of 5 entries per day.\n\nYou may select up to 2 final submissions for judging.\n\n### Competition Timeline\n\nStart Date: September 12, 2019\n\nMerger Deadline: December 5, 2019\n\nEntry Deadline: December 5, 2019\n\nEnd Date (Final Submission Deadline): **December 12, 2019 11:59 PM UTC**\n\n### COMPETITION-SPECIFIC TERMS\n\n**COMPETITION TITLE**: BigQuery-Geotab Intersection Congestion\n\n**COMPETITION SPONSOR**: Google BigQuery\n\n**COMPETITION SPONSOR ADDRESS**: 1600 Amphitheatre Parkway Mountain View CA 94043\n\n**COMPETITION WEBSITE**: https://www.kaggle.com/c/bigquery-geotab-intersection-congestion\n\n**BIGQUERY ML AWARDS: $10,000 GCP CREDIT COUPONS**\n\n**1. BQML MODELS BUILT IN SQL**\n\n- First Prize: $3,000 IN GCP CREDITS\n\n- Second Prize: $1,000 IN GCP CREDITS\n\n- Third Prize: $1,000 IN GCP CREDITS\n\n**2. BQML MODELS BUILT IN TENSORFLOW**\n\n- First Prize: $3,000 IN GCP CREDITS\n\n- Second Prize: $1,000 IN GCP CREDITS\n\n- Third Prize: $1,000 IN GCP CREDITS\n\n**WINNER LICENSE TYPE**: No License Required\n\n**DATA ACCESS AND USE**: Competition Use Only\n\n**EXTERNAL DATA**: Publicly, freely available external data is permitted, if posted to the official competition forum prior to the Entry Deadline\n\nCompetitions are open to residents of the United States and worldwide, except that if you are a resident of Crimea, Cuba, Iran, Syria, North Korea, Sudan, or are subject to U.S. export controls or sanctions, you may not enter the Competition. Other local rules and regulations may apply to you, so please check your local laws to ensure that you are eligible to participate in skills-based competitions.\n\n**ENTRY IN THIS COMPETITION CONSTITUTES YOUR ACCEPTANCE OF THESE OFFICIAL COMPETITION RULES.**\n\nThe Competition named above is a skills-based competition to promote and further the field of data science. You must register via the Competition Website to enter. Your competition submissions (\"Submissions\") must conform to the requirements stated on the Competition Website. Your Submissions will be scored based on the evaluation metric described on the Competition Website. Subject to compliance with the Competition Rules the leaderboard will be determined based on the merits of the data science models submitted. See below for the complete Competition Rules.\n\n\n### A. COMPETITION-SPECIFIC RULES\n\nIn addition to the provisions of the General Competition Rules below, you understand and agree to these Competition-Specific Rules required by the Competition Sponsor:\n\n#### **1.\t\"BIGQUERY ML AWARD\" OBLIGATIONS.**\n\nAs a condition to being awarded a BigQuery ML award, a winner must deliver to the Competition Sponsor the winning BQML solution's queries/models as used to generate the winning Submission and associated documentation. The delivered software code should be capable of generating the winning Submission.\n\n#### **2.\tBIGQUERY ML AWARDS.** \n\n\"BigQuery ML award(s)\" are a \"non-monetary award\" as described on the Competition Website and are only available for winning during the time period described on the Competition Website. The odds of winning any non-monetary award depends on the number of eligible Submissions received during the Competition Period and the skill of the participants. \n\nAll non-monetary awards are subject to Competition Sponsor's review and verification of the participant’s eligibility and compliance with these Rules, and the compliance of the winning Submissions with the Submissions Requirements. In the event that the Submission demonstrates non-compliance with these Competition Rules, Competition Sponsor may at its discretion take either of the following actions: (i) disqualify the Submission(s); or (ii) require the potential winner to remediate within one week after notice all issues identified in the Submission(s) (including, without limitation, the resolution of license conflicts, the fulfillment of all obligations required by software licenses, and the removal of any software that violates the software restrictions).\n\nPotential winners must return all required non-monetary award acceptance documents within two (2) weeks following notification of such required documents, or such potential winner will be deemed to have forfeited the prize and another potential winner will be selected. Non-monetary awards will be awarded within approximately 30 days after receipt by Competition Sponsor or Kaggle of the required acceptance documents.\n\nYou are not eligible to receive any non-monetary award if you do not meet the Eligibility requirements in Section B.2 below.\n\nIf a Team wins a Prize, the Prize money will be allocated in shares at the discretion of the Competition Sponsor.\n\n#### **3.     AUTOMATED MACHINE LEARNING TOOLS (AMLT).**\n \nThis competition permits the use of automated machine learning tool(s) (“AMLT”) in the creation of Submissions. \n \nAn individual or team may make a Submission as an AMLT (each individual or team making a submission as an AMLT, a “AMLT Team”). The AMLT Team must be authorized to make such Submission by the owner(s) of the AMLT (including all rights in the AMLT). AMLT Teams must declare themselves as such by submitting the following form prior to making a Submission: [https://www.kaggle.com/amlt-registration](https://www.kaggle.com/amlt-registration). Submissions made by an AMLT Team will be marked, e.g., as benchmarks, on the Competition’s public leaderboard and, like all Submissions, cannot be removed or revoked once submitted.\n \nIndividual participants and Teams may also use an AMLT to create a Submission, provided that the participant ensures that they have an appropriate license to the AMLT and are able to comply with the Rules. \n \nThe following provision is added to the end of Section 2 of the General Competition Rules below: “AMLT Teams may enter and participate in the Competition, but are not eligible to win any Prizes.”\n\nThe following provision is added to the end of Section 6 of the General Competition Rules below: “D. AMLT Teams. If you submit a Submission to this Competition as an AMLT Team, you cannot also submit as an individual user or as a team. Violation may result in your disqualification from the Competition and removal from the Competition leaderboard, at Kaggle's sole discretion. AMLT Teams are not permitted to enter into a Team merger.”\n\nExcept as described above in this section, AMLT are not permitted to be used in the creation of a Submission.\n\n### B. GENERAL COMPETITION RULES\n#### **1.\tBINDING AGREEMENT.** \n\nTo enter the Competition, you must agree to these Official Competition Rules, which incorporate by reference the provisions and content of the Competition Website and any Specific Competition Rules above (collectively, the \"Rules\"). Please read these Rules carefully before entry to ensure you understand and agree. You further agree that submission of an entry in the Competition constitutes agreement to these Rules. You may not submit an entry to the Competition unless you agree to these Rules. These Rules form a binding legal agreement between you and the Competition Sponsor with respect to the Competition.\n\n#### **2.\tELIGIBILITY.** \n\nA. To be eligible to enter the Competition, you must be:\n\t(i) a registered account holder at Kaggle.com; \n\t(ii) the older of 18 years old or the age of majority in your jurisdiction of residence (unless otherwise agreed to by Competition Sponsor and appropriate parental/guardian consents have been obtained by Competition Sponsor); \n\t(iii) not a resident of Crimea, Cuba, Iran, Syria, North Korea, or Sudan; and\n\t(iv) not a person or representative of an entity under U.S. export controls or sanctions (see [https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx][1]).\n\nIf you are entering as a representative of a company, educational institution or other legal entity, or on behalf of your employer, these rules are binding on you, individually, and the entity you represent or are an employee. If you are acting within the scope of your employment, as an employee, contractor, or agent of another party, you warrant that such party has full knowledge of your actions and has consented thereto. You further warrant that your actions do not violate your employer's or entity's policies and procedures.   \n\nThe Competition Sponsor reserves the right to verify eligibility and to adjudicate on any dispute at any time. If you provide any false information relating to the Competition concerning your identity, residency, mailing address, telephone number, email address, ownership of right, or information required for entering the Competition, you may be immediately disqualified from the Competition.\n\nB. Unless otherwise stated in the Specific Competition Rules above or prohibited by internal policies of the Competition Entities, employees, interns, contractors, officers and directors of Competition Entities may enter and participate in the Competition. \"Competition Entities\" means the Competition Sponsor, Kaggle Inc., and their respective parent companies, subsidiaries and affiliates. If you are such a participant from a Competition Entity, you are subject to all applicable internal policies of your employer with respect to your participation.\n\n#### **3.\tSPONSOR AND HOSTING PLATFORM.** \n\nThe Competition is sponsored by Competition Sponsor named above. The Competition is hosted on behalf of Competition Sponsor by Kaggle Inc. (\"Kaggle\"). Kaggle is an independent contractor of Competition Sponsor, and is not a party to this or any agreement between you and Competition Sponsor. You understand that Kaggle has no responsibility with respect to selecting the potential Competition winner(s) or awarding any prizes. Kaggle will perform certain administrative functions relating to hosting the Competition, and you agree to abide by the provisions relating to Kaggle under these Rules. As a Kaggle.com account holder and user of the Kaggle competition platform, remember you have accepted and are subject to the Kaggle Terms of Service at [www.kaggle.com/terms][2] in addition to these Rules.\n\n#### **4.\tCOMPETITION PERIOD.** \n\nFor the purposes of the leaderboard, the Competition will run from the Start Date and time to the End Date and time (such duration the “Competition Period”). The Competition Timeline is subject to change, and Competition Sponsor may introduce additional hurdle deadlines during the Competition Period. Any updated or additional deadlines will be publicized on the Competition Website. It is your responsibility to check the Competition Website regularly to stay informed of any deadline changes. *YOU ARE RESPONSIBLE FOR DETERMINING THE CORRESPONDING TIME ZONE IN YOUR LOCATION.* \n\n#### **5.\tCOMPETITION ENTRY.** \n\nNO PURCHASE NECESSARY TO ENTER OR WIN. To enter the Competition, you must register on the Competition Website prior to the Entry Deadline, and follow the instructions for developing and entering your Submission through the Competition Website. Your Submissions must be made in the manner and format, and in compliance with all other requirements, stated on the Competition Website (the \"Requirements\"). Submissions must be received before any Submission deadlines stated on the Competition Website.\n\nSubmissions may not use or incorporate information from hand labeling or human prediction of the validation dataset or test data records.\n\nIf the Competition is a multi-stage competition with temporally separate training and/or test data, one or more valid Submissions may be required during each Competition stage in the manner described on the Competition Website.\n\nSubmissions are void if they are in whole or part illegible, incomplete, damaged, altered, counterfeit, obtained through fraud, or late. Competition Sponsor reserves the right to disqualify any entrant who does not follow these Rules, including making a Submission that does not meet the Requirements. \n\n#### **6.\tINDIVIDUALS AND TEAMS.** \n\nA. *Individual Account*. You may make Submissions only under one, unique Kaggle.com account. You will be disqualified if you make Submissions through more than one Kaggle account, or attempt to falsify an account to act as your proxy. You may submit up to the maximum number of Submissions per day as specified on the Competition Website. \n\nB. *Teams*. If permitted under the Competition Website guidelines, multiple individuals may collaborate as a team (a \"Team\"); however, you may join or form only one Team. Each Team member must be a single individual with a separate Kaggle account. You must register individually for the Competition before joining a Team. You must confirm your Team membership to make it official by responding to the Team notification message sent to your Kaggle account. Team membership may not exceed the Maximum Team Size stated on the Competition Website.\n\nC. *Team Merger*. Teams may request to merge via the Competition Website. Team mergers may be allowed provided that: (i) the combined Team does not exceed the Maximum Team Size; (ii) the number of Submissions made by the merging Teams does not exceed the number of Submissions permissible for one Team at the date of the merger request; (iii) the merger is completed before the earlier of: any merger deadline or the Competition deadline; and (iv) the proposed combined Team otherwise meets all the requirements of these Rules. \n\n#### **7.\tCOMPETITION DATA.** \n\n\"Competition Data\" means the data or datasets available from the Competition Website for the purpose of use in the Competition, including any prototype or executable code provided on the Competition Website. The Competition Data will contain private and public test sets. Which data belongs to which set will not be made available to participants. \n\nA. *Data Access and Use*. You may access and use the Competition Data only for participating in the Competition and on Kaggle.com forums. The Competition Sponsor reserves the right to disqualify any participant who uses the Competition Data other than as permitted by the Competition Website and these Rules.\n\nB. *Data Security*. You agree to use reasonable and suitable measures to prevent persons who have not formally agreed to these Rules from gaining access to the Competition Data. You agree not to transmit, duplicate, publish, redistribute or otherwise provide or make available the Competition Data to any party not participating in the Competition. You agree to notify Kaggle immediately upon learning of any possible unauthorized transmission of or unauthorized access to the Competition Data and agree to work with Kaggle to rectify any unauthorized transmission or access.\n\nC. *External Data*. You may use data other than the Competition Data (“External Data”) to develop and test your models and Submissions. However, you will (i) ensure the External Data is available to use by all participants of the competition for purposes of the competition at no cost to the other participants and (ii) post such access to the External Data for the participants to the official competition forum prior to the Entry Deadline.\n\n#### **8.\tSUBMISSION CODE REQUIREMENTS.**\n\nA. *Private Code Sharing*. Unless otherwise specifically permitted under the Competition Website or Competition Specific Rules above, during the Competition Period, you are not allowed to privately share source or executable code developed in connection with or based upon the Competition Data or other source or executable code relevant to the Competition (“Competition Code”). This prohibition includes sharing Competition Code between separate Teams, unless a Team merger occurs. Any such sharing of Competition Code is a breach of these Competition Rules and may result in disqualification.\n\nB. *Public Code Sharing*. You are permitted to publicly share Competition Code, provided that such public sharing does not violate the intellectual property rights of any third party. If you do choose to share Competition Code or other such code, you are required to share it on Kaggle.com on the discussion forum or kernels associated specifically with the Competition for the benefit of all competitors. By so sharing, you are deemed to have licensed the shared code under an Open Source Initiative-approved license (see www.opensource.org) that in no event limits commercial use of such Competition Code or model containing or depending on such Competition Code.\n\nC. *Use of Open Source*. Unless otherwise stated in the Specific Competition Rules above, if open source code is used in the model to generate the Submission, then you must only use open source code licensed under an Open Source Initiative-approved license (see [www.opensource.org][4]) that in no event limits commercial use of such code or model containing or depending on such code.\n\n#### **9.\tDETERMINING LEADERBOARD.** \n\nEach Submission will be scored and ranked by the evaluation metric stated on the Competition Website. During the Competition Period, the current ranking will be visible on the Competition Website's public leaderboard. The public leaderboard will be based on the public test set and the private leaderboard will be based on the private test set.\n\nIn the event of a tie, the Submission that was entered first to the Competition will be ranked higher.\n\n#### **10.\tDISQUALIFICATION.**\n\nCompetition Sponsor reserves the right to disqualify any participant from the Competition if the Competition Sponsor reasonably believes that the participant has attempted to undermine the legitimate operation of the Competition by cheating, deception, or other unfair playing practices or abuses, threatens or harasses any other participants, Competition Sponsor or Kaggle.\n \nA disqualified participant may be removed from the Competition leaderboard, at Kaggle's sole discretion.\n \nThe final leaderboard list will be publicly displayed at Kaggle.com. Determinations of Competition Sponsor are final and binding.\n\n#### **11.\tGENERAL CONDITIONS.**  \n\nAll federal, state, provincial and local laws and regulations apply.   \n\n#### **12.\tPUBLICITY.**\n\nYou agree that Competition Sponsor, Kaggle and its affiliates may use your name and likeness for advertising and promotional purposes without additional compensation, unless prohibited by law.\n\n#### **13.\tPRIVACY.**\n\nYou acknowledge and agree that Competition Sponsor and Kaggle may collect, store, share and otherwise use personally identifiable information provided by you during the Kaggle account registration process and the Competition, including but not limited to, name, mailing address, phone number, and email address (“Personal Information”). Kaggle acts as an independent controller with regard to its collection, storage, sharing, and other use of this Personal Information, and will use this Personal Information in accordance with its Privacy Policy <[www.kaggle.com/privacy][6]>, including for administering the Competition. As a Kaggle.com account holder, you have the right to request access to, review, rectification, portability or deletion of any personal data held by Kaggle about you by logging into your account and/or contacting Kaggle Support at <[www.kaggle.com/contact][7]>.\n\nAs part of Competition Sponsor performing this contract between you and the Competition Sponsor, Kaggle will transfer your Personal Information to Competition Sponsor, which acts as an independent controller with regard to this Personal Information. As a controller of such Personal Information, Competition Sponsor agrees to comply with all U.S. and foreign data protection obligations with regard to your Personal Information. Kaggle will transfer your Personal Information to Competition Sponsor in the country specified in the Competition Sponsor Address listed above, which may be a country outside the country of your residence. Such country may not have privacy laws and regulations similar to those of the country of your residence.\n\n#### **14.\tWARRANTY, INDEMNITY AND RELEASE.** \n\nYou warrant that your Submission is your own original work and, as such, you are the sole and exclusive owner and rights holder of the Submission, and you have the right to make the Submission and grant all required licenses.  You agree not to make any Submission that: (i) infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; or (ii) otherwise violates any applicable U.S. or foreign state or federal law.\n\nTo the maximum extent permitted by law, you indemnify and agree to keep indemnified Competition Entities at all times from and against any liability, claims, demands, losses, damages, costs and expenses resulting from any of your acts, defaults or omissions and/or a breach of any warranty set forth herein. To the maximum extent permitted by law, you agree to defend, indemnify and hold harmless the Competition Entities from and against any and all claims, actions, suits or proceedings, as well as any and all losses, liabilities, damages, costs and expenses (including reasonable attorneys fees) arising out of or accruing from: (a) your Submission or other material uploaded or otherwise provided by you that infringes any third party proprietary rights, intellectual property rights, industrial property rights, personal or moral rights or any other rights, including without limitation, copyright, trademark, patent, trade secret, privacy, publicity or confidentiality obligations, or defames any person; (b) any misrepresentation made by you in connection with the Competition; (c) any non-compliance by you with these Rules or any applicable U.S. or foreign state or federal law; (d) claims brought by persons or entities other than the parties to these Rules arising from or related to your involvement with the Competition; and (e) your acceptance, possession, misuse or use of any prize, or your participation in the Competition and any Competition-related activity.\n\nYou hereby release Competition Entities from any liability associated with: (a) any malfunction or other problem with the Competition Website; or (b) any error in the collection, processing, or retention of any Submission.\n\n#### **15.\tINTERNET.** \n\nCompetition Entities are not responsible for any malfunction of the Competition Website or any late, lost, damaged, misdirected, incomplete, illegible, undeliverable, or destroyed Submissions or entry materials due to system errors, failed, incomplete or garbled computer or other telecommunication transmission malfunctions, hardware or software failures of any kind, lost or unavailable network connections, typographical or system/human errors and failures, technical malfunction(s) of any telephone network or lines, cable connections, satellite transmissions, servers or providers, or computer equipment, traffic congestion on the Internet or at the Competition Website, or any combination thereof, which may limit a participant’s ability to participate.\n\n#### **16.\tRIGHT TO CANCEL, MODIFY OR DISQUALIFY.**\n\nIf for any reason the Competition is not capable of running as planned, including infection by computer virus, bugs, tampering, unauthorized intervention, fraud, technical failures, or any other causes which corrupt or affect the administration, security, fairness, integrity, or proper conduct of the Competition, Competition Sponsor reserves the right to cancel, terminate, modify or suspend the Competition. Competition Sponsor further reserves the right to disqualify any participant who tampers with the submission process or any other part of the Competition or Competition Website.  Any attempt by a participant to deliberately damage any website, including the Competition Website, or undermine the legitimate operation of the Competition is a violation of criminal and civil laws. Should such an attempt be made, Competition Sponsor and Kaggle each reserves the right to seek damages from any such participant to the fullest extent of the applicable law.\n\n#### **17.\tNOT AN OFFER OR CONTRACT OF EMPLOYMENT.**\n\nUnder no circumstances will the entry of a Submission or anything in these Rules be construed as an offer or contract of employment with Competition Sponsor or any of the Competition Entities. You acknowledge that you have submitted your Submission voluntarily and not in confidence or in trust. You acknowledge that no confidential, fiduciary, agency, employment or other similar relationship is created between you and Competition Sponsor or any of the Competition Entities by your acceptance of these Rules or your entry of your Submission.\n\n#### **18.\tGOVERNING LAW.** \n\nUnless otherwise provided in the Competition Specific Rules above, all claims arising out of or relating to these Rules will be governed by California law, excluding its conflict of laws rules, and will be litigated exclusively in the Federal or State courts of Santa Clara County, California, USA. The parties consent to personal jurisdiction in those courts. If any provision of these Rules is held to be invalid or unenforceable, all remaining provisions of the Rules will remain in full force and effect.\n\n\n  [1]: https://www.treasury.gov/resource-center/sanctions/Programs/Pages/Programs.aspx\n  [2]: http://www.kaggle.com/terms\n  [3]: http://www.opensource.org\n  [4]: http://www.opensource.org\n  [5]: https://www.kaggle.com/WinningModelDocumentationGuidelines\n  [6]: http://www.kaggle.com/privacy\n  [7]: http://www.kaggle.com/contact",
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      "content": "> UPDATE: This dataset is no longer available via BigQuery. However, you can source it directly from the Kaggle dataset on this competition.\n\n\nThe data consists of aggregated trip logging metrics from commercial vehicles, such as semi-trucks. The data have been grouped by  intersection, month, hour of day, direction driven through the intersection, and whether the day was on a weekend or not.\n\nFor each grouping in the test set, you need to make predictions for three different quantiles of two different metrics covering how long it took the group of vehicles to drive through the intersection. Specifically, the 20th, 50th, and 80th percentiles for the total time stopped at an intersection and the distance between the intersection and the first place a vehicle stopped while waiting. You can think of your goal as summarizing the distribution of wait times and stop distances at each intersection. \n\nEach of those six predictions goes on a new row in the submission file. Read the submission `TargetId` fields, such as `1_1`, as the first number being the `RowId` and the second being the metric id. You can unpack the submission metric id codes with `submission_metric_map.json`.\n\nThe training set includes an optional additional output metric (`TimeFromFirstStop`) in case you find that useful for building your models. It was only excluded from the test set to limit the number of predictions that must be made.\n\nThe instructions in `BigQuery-Dataset-Access.md` are now deprecated. The dataset is only available through Kaggle, via download below or API.\n",
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      "name": "Description",
      "content": "We’ve all been there: Stuck at a traffic light, only to be given mere seconds to pass through an intersection, behind a parade of other commuters. Imagine if you could help city planners and governments anticipate traffic hot spots ahead of time and reduce the stop-and-go stress of millions of commuters like you.\n\n[Geotab](https://www.geotab.com/) provides a [wide variety of aggregate datasets](https://data.geotab.com/intelligence-data) gathered from commercial vehicle telematics devices. Harnessing the insights from this data has the power to improve safety, optimize operations, and identify opportunities for infrastructure challenges.\n\nThe dataset for this competition includes aggregate stopped vehicle information and intersection wait times. Your task is to predict congestion, based on an aggregate measure of stopping distance and waiting times, at intersections in 4 major US cities: Atlanta, Boston, Chicago & Philadelphia. \n\nThis competition is being hosted in partnership with [BigQuery](https://cloud.google.com/bigquery/), a data warehouse for manipulating, joining, and querying large scale tabular datasets. BigQuery also offers BigQuery ML, an easy way for users to create and run machine learning models to generate predictions through a SQL query interface.\n\nKaggle recently released a BigQuery integration within our kernels notebook environment, and [this starter kernel](https://www.kaggle.com/sirtorry/bigquery-ml-template-intersection-congestion) gives you a great starting point for how to use BQ & BQML. You’re encouraged to use your data savvy, resourcefulness & intuition to find and join in additional external datasets that will increase your models’ predictive power.\n\nAlright, stop waiting and get started!\n\n### Acknowledgments\n\n![Geotab](https://www.googleapis.com/download/storage/v1/b/kaggle-user-content/o/inbox%2F603584%2F2c4691c7ddb4cef68c23efaa16bcbf57%2Fgeotab-logo-300.jpg?generation=1566501523911770&alt=media)\n\n**A big thanks to Geotab for providing the dataset for this competition!** Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Marketplace, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. As an IoT hub, the in-vehicle device provides additional functionality through IOX Add-Ons. Processing billions of data points a day, Geotab leverages data analytics and machine learning to help customers improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety, and achieve strong compliance to regulatory changes. Geotab’s products are represented and sold worldwide through Authorized Geotab Resellers. To learn more, please visit [www.geotab.com](https://www.geotab.com/) and follow us [@GEOTAB](https://twitter.com/GEOTAB) and on [LinkedIn](https://www.linkedin.com/company/geotab/).  \n",
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      "name": "Evaluation",
      "content": "Submissions are scored on the **root mean squared error**. RMSE is defined as:\n<p>\\[\\textrm{RMSE} = \\sqrt{\\frac{1}{n} \\sum_{i=1}^{n} (y_i - \\hat{y}_i)^2},\\]</p>\nwhere \\\\( \\hat{y} \\\\) is the predicted value, and \\\\( y \\\\) is the original value.\n\n## Submission File\nFor each row in the test set, you must predict the value of six target outcomes as described on the data tab, each on a separate row in the submission file. The file should contain a header and have the following format:\n\n    ID,TARGET\n    0_1,0\n    0_2,0\n    0_3,0\n    etc.\n",
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    {
      "name": "Timeline",
      "content": "* **December 5, 2019** - Team Merger deadline. This is the last day participants may join or merge teams.\n* **December 5, 2019** - Entry deadline. You must accept the competition rules before this date in order to compete.\n* **December 12, 2019**&nbsp;- Final submission deadline.\n\nAll deadlines are at 11:59 PM UTC on the corresponding day unless otherwise noted. The competition organizers reserve the right to update the contest timeline if they deem it necessary.",
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    {
      "name": "BigQuery ML Awards",
      "content": "The following two categories of BigQuery ML (BQML) GCP Coupon Awards will be distributed to eligible participants.\n\n**BigQuery ML Models built in SQL**: Use BQML to create a model and make predictions\n* 1st Place - $3,000 in GCP Credits\n* 2nd Place - $1,000 in GCP Credits\n* 3rd Place - $1,000 in GCP Credits\n\n**BigQuery ML Models built in TensorFlow**: Build model in TensorFlow, and make predictions in BQML through model import\n* 1st Place - $3,000 in GCP Credits\n* 2nd Place - $1,000 in GCP Credits\n* 3rd Place - $1,000 in GCP Credits\n\n###Eligibility\n\nTo be eligible for the awards described above, a team's selected submission must meet the following requirements:\n- Use BQML to create your model and generate your submission's predictions, per the requirements above for each category of prizes. \n     - Take a look at documentation on the [model types supported by BQML here](https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-create#model_type). \n     - Also, review information on [supported TensorFlow models here](https://cloud.google.com/bigquery-ml/docs/reference/standard-sql/bigqueryml-syntax-create-tensorflow) and [how to make predictions with TensorFlow models here](https://cloud.google.com/bigquery-ml/docs/making-predictions-with-imported-tensorflow-models). \n     - [This tutorial](https://www.kaggle.com/sirtorry/bigquery-ml-template-intersection-congestion/) also provides a nice starter for how to run queries using BQML.\n- If you feel you have met these requirements of either special award group, you must self-nominate by submitting a form to be released at the end of the competition. Eligible participants will then be awarded prizes on the basis of their leaderboard performance.\n     - You will be required to provide documentation of your queries/models as a condition of receiving the award. \n     - Each team may only win an award in one (not both) of the above categories.",
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      "name": "Resources",
      "content": "###Using BigQuery & BigQuery ML through Kernels\n\n- In addition to being available for download on Kaggle, this competition's dataset has been hosted in a private BigQuery dataset. You can gain access to it by following the directions within the `BigQuery-Dataset-Access.md` doc on the [Data page](https://www.kaggle.com/c/bigquery-geotab-intersection-congestion/data). \n     - Note: you are required to accept the competition's rules prior to downloading the dataset. \n- The toggle to enable BigQuery on Kaggle kernels/notebooks is in the \"Settings\" panel.\n     - In order to run BQML queries, you will need to \"Link an Account.\" This will require that you have a GCP account to authenticate into. If you don't have one, [create a new one here](https://cloud.google.com/free/)\n\n###Getting Started Resources\n- We are also distributing GCP coupons for participants in this competition who have made a submission to the competition and [submit this request form](https://www.kaggle.com/GCP-Credits-BQML) by October 15, 2019.\n- This [starter tutorial](https://www.kaggle.com/sirtorry/bigquery-ml-template-intersection-congestion/) shows you how to get started running queries on BigQuery ML.",
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