Tender

Car Park Queue Prediction

LGSS

This public procurement record has 1 release in its history.

Tender

01 Nov 2017 at 14:48

Tender Notice
Summary of the contracting process

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.

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Notice Information

Notice Title

Car Park Queue Prediction

Notice Description

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.

Notice Details

Publication & Lifecycle

Open Contracting ID
ocds-b5fd17-906a880c-c0e4-4296-b693-808e1191f781
Publication Source
Contracts Finder
Latest Notice
https://www.contractsfinder.service.gov.uk/Notice/719f0267-0ad4-4f1e-9778-ec874bff0a99
Current Stage
Tender
All Stages
Tender

Procurement Classification

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

Common Procurement Vocabulary (CPV)

CPV Divisions

48 - Software package and information systems

60 - Transport services (excl. Waste transport)

CPV Codes

48200000 - Networking, Internet and intranet software package

60100000 - Road transport services

Notice Value(s)

Tender Value
£30,000 Under £100K
Lots Value
Not specified
Awards Value
Not specified
Contracts Value
Not specified

Notice Dates

Publication Date
1 Nov 20178 years ago
Submission Deadline
1 Dec 2017Expired
Future Notice Date
Not specified
Award Date
Not specified
Contract Period
2 Jan 2018 - 1 Jan 2019 6-12 months
Recurrence
Not specified

Notice Status

Tender Status
Active
Lots Status
Not Specified
Awards Status
Not Specified
Contracts Status
Not Specified

Buyer & Supplier

Contracting Authority (Buyer)

Main Buyer
LGSS
Contact Name
Available with D3 Tenders Premium →
Contact Email
Available with D3 Tenders Premium →
Contact Phone
Available with D3 Tenders Premium →

Buyer Location

Locality
CAMBRIDGE
Postcode
CB3 0AP
Post Town
Cambridge
Country
England
Major Region (ITL 1)
TLH East (England)
Basic Region (ITL 2)
TLH4 Cambridgeshire and Peterborough
Small Region (ITL 3)
TLH42 Cambridgeshire CC
Delivery Location
Not specified
Local Authority
Cambridge
Electoral Ward
Castle
Westminster Constituency
Cambridge

Further Information

Notice Documents

Open Contracting Data Standard (OCDS)

View full OCDS Record for this contracting process

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The Open Contracting Data Standard (OCDS) is a framework designed to increase transparency and access to public procurement data in the public sector. It is widely used by governments and organisations worldwide to report on procurement processes and contracts. 

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