---
title: "Car Park Queue Prediction"
ocid: "ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781"
canonical_url: "https://d3tenders.com/contract/?ocid=ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781"
markdown_url: "https://d3tenders.com/contract/ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781.md"
json_url: "https://d3tenders.com/contract/ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781.json"
source: "Contracts Finder"
current_stage: "Tender"
buyer: "LGSS"
published: "2017-11-01"
---

# Car Park Queue Prediction

Buyer: LGSS  
Current stage: Tender  
OCID: ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781

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## Summary

The Greater Cambridge Partnership, represented by LGSS, is currently seeking tenders for the project titled "Car Park Queue Prediction," aimed at improving travel efficiency in Cambridge. The procurement falls under the category of "Networking, Internet and intranet software package" and "Road transport services," with a total budget of £30,000. This tender process is in the active stage and follows an open procurement method, with submissions due by 1st December 2017. The work is anticipated to commence on 2nd January 2018 and will run for a year, focusing on locations within the East of England, specifically Cambridge.

This tender presents significant opportunities for businesses, particularly those specialising in data collection, predictive modelling, and software development related to transport management. Organisations that can deliver innovative solutions for queue prediction and improve the user experience for travellers can leverage this opportunity to expand their operational footprint. Smaller enterprises (SMEs) are highly encouraged to participate, as the procurement is designed to support their growth and should align with the project goals of enhancing public transport utilisation and reducing congestion.

## Notice

The Greater Cambridge Partnership is aiming to ease congestion and prioritise greener and active travel, making it easier for people to travel by bus, rail, cycle or on foot and to improve average journey time (4.87 minutes per mile in the peak hour in 2015 as well as reducing Congestion in peak-time traffic levels in Cambridge by 10-15% based on a 2011 baseline by 2031). One of the ways that modal shift can be achieved is by giving travellers better information which can nudge behavior. Currently it's difficult for travellers to be able to accurately compare the difference in journey times between bus trips through services like the Park and Ride and travel times by car. This is made particularly difficult at busy times when cars can spend a significant amount of time queueing to get into car parks. By being able to accurately predict the time it will take for a driver to get into a car park and thus the amount of time spent queueing we can; * Give a more realistic comparison of public versus non-public transport * Be able to manage routing to car parks better - look to manage queues which can cause delays on roads better * Support other work looking at Air Quality to understand the impact of standing traffic The supplier will conduct a trial for a max period of a year at the Grand Arcade Car Park to create a model which gives accurate predictions of queue times but at a cost that is sustainable in the long term. This information will then be used along with travel time information to give accurate travel time messages on the way into town via VMS screens at a point where drivers can make a choice to use a Park and Ride service instead. It is anticipate that the supplier will need to deploy data collection infrastructure and this would be enabled by the GCP. As part of the project we will look to put in place a robust methodology for measuring the impact that these messages have on behavior in both a quantitative and qualitative way. The project will * address a widely recognized piece of information that is currently missing, and the solution would support wider GCP objectives - * If the pilot at Grand Arcade is successful, it provides a model which can be rolled out to other areas of the city. * It would provide an 'exemplar' of how sensors can be used for public good and a visualisation of the data we hold. This may serve to encourage other similar projects in future.

## Key Details

| Field | Value |
| --- | --- |
| Publication source | Contracts Finder |
| Latest notice | https://www.contractsfinder.service.gov.uk/Notice/719f0267-0ad4-4f1e-9778-ec874bff0a99 |
| Notice type | Tender Notice |
| Procurement type | Standard |
| Procurement category | Works |
| Procurement method | Open |
| Procurement method details | Open procedure |
| Tender suitability | SME |
| Awardee scale | Not specified |
| All stages | Tender |

## Dates

| Field | Value |
| --- | --- |
| Publication date | 1 Nov 2017 |
| Submission deadline | 1 Dec 2017 |
| Future notice date | Not specified |
| Award date | Not specified |
| Contract period | 2 Jan 2018 - 1 Jan 2019 |
| Recurrence | Not specified |

## Values

| Field | Value |
| --- | --- |
| Tender value | £30,000 |
| Lots value | Not specified |
| Awards value | Not specified |
| Contracts value | Not specified |

## Status

| Field | Value |
| --- | --- |
| Tender status | Active |
| Lots status | Not specified |
| Awards status | Not specified |
| Contracts status | Not specified |

## Buyer

| Field | Value |
| --- | --- |
| Main buyer | LGSS |
| Locality | CAMBRIDGE |
| Post town | Cambridge |
| Postcode | CB3 0AP |
| Country | England |
| ITL 1 | TLH East (England) |
| ITL 2 | TLH4 Cambridgeshire and Peterborough |
| ITL 3 | TLH42 Cambridgeshire CC |
| Local authority | Cambridge |
| Electoral ward | Castle |
| Westminster constituency | Cambridge |
| Delivery location | Not specified |

## CPV Codes

### Divisions

- 48 - Software package and information systems
- 60 - Transport services (excl. Waste transport)

### Codes

- 48200000 - Networking, Internet and intranet software package
- 60100000 - Road transport services

## Release History

- 1 Nov 2017 at 14:48 - Tender - Tender Notice - https://www.contractsfinder.service.gov.uk/Notice/719f0267-0ad4-4f1e-9778-ec874bff0a99

## Documents

- https://www.contractsfinder.service.gov.uk/Notice/719f0267-0ad4-4f1e-9778-ec874bff0a99
  1st November 2017 - Opportunity notice on Contracts Finder

## Notice URLs

- http://www.lgssprocurementportal.co.uk

## Provenance

This Markdown file is an alternate public rendering of the D3 Tenders contract record. The canonical page is https://d3tenders.com/contract/?ocid=ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781. The underlying structured data is available as OCDS JSON at https://d3tenders.com/contract/ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781.json.