1. CHARM PCP P4 ITS Network meeting 21st May 2015

2. Agenda Update on Award of Phase 2 contracts Contract savings Contractor Publishable Summaries

3. Update on Award of Phase 2 contracts 11 Phase 1 contractors All 11 contractors successfully completed Phase 1 8 contractors provided results that were promising 8 tenderers were invited to submit proposals for Phase 2 Tenders submitted (December 2014) Basic checks (January 2015) Scored by supervisors (February 2015)

4. Phase 2 – Consensus Panel Held in Utrecht – 25 th February 2015: Each panel consisted of at least one representative from Highways England and RWS, along with an independent assessor as stated in the invitation to tender (ITT). Individual scores discussed and moderated Scores aggregated All tenderers passed threshold

5. Approval Panel & Contract Award Approval Panel held in Birmingham (3rd March 2015) Contracts awarded (22nd April 2015) Phase 2 duration = 9 months Launch event held in Birmingham at Traffex conference (22nd April 2015) Initial contractor meetings held at Traffex event

6. Phase 2 Launch Event

7. Suppliers Phase 2 Lot 1: - Mott MacDonald Ltd - PSI Mines & Roads GmbH - Technolution BV Lot 2: - Fileradar BV - Goudappel Coffeng Lot 3: - Beijer Automotive BV - Cubic - Imtech Traffic & Infra UK Ltd

8. Contract Savings Savings over pre-Tender estimate = 6% Savings with/without IPR = 400%

9. Publishable Summaries

10. Lot 1

11. Mott MacDonald Limited In the project “Distributed Network Optimisation using Models and In-Vehicle Devices”, Mott MacDonald Limited with Fileradar BV will research and develop a module for Advanced Distributed Network Management, addressing Lot 1 of CHARM PCP. Our module combines a set of complementary innovations in order to meet the Challenge Brief. Each innovation is aimed at improving the overall utility of advice given to motorists. Ultimately this will support total travel time, emissions and safety targets as drivers use the best advice to reduce wasted time and emissions, and avoid hazards. Where traffic management systems have been constrained by fixed infrastructure such as VMS, our module will consider each part of the network and provide the appropriate advice for use in in-vehicle devices at that location. The accuracy of the advice will be ensured through the module integrating the Fileradar dynamic traffic model to compute the effect of potential responses. The module is designed to operate in a distributed environment – it will support multiple concurrent instances for different traffic management jurisdictions, collaborating to meet the goals of the managing authorities. The module combines algorithms, models and a rules engine in a practical blend to deal with network problems on multiple layers.

12. PSI Mines & Roads GmbH The PSI Group develops and integrates software solutions and complete systems for utilities, manufacturers and infrastructure providers. PSI Mines&Roads GmbH as part of the PSI Group offered a multi-criteria decision supporting software for advanced distributed traffic network management. During a Feasibility Study (Phase 1) the requirements on decision support for traffic operators and engineers in complex traffic situations has been analysed. Based on this analysis a multi-layered model of the road infrastructure based on of PSI’s multi-criteria decision support engine Qualicision ® has been established. The model uses input parameters like real-time traffic and environment data. As an output indications for the application of the best matching traffic management means are given. Besides graphical user interfaces and import functions supervised self-learning facilities are provided to build, configure and adjust the model. The task in the project is to implement the decision support model for traffic management by adaptation of existing solutions from other markets. The decision support engine should be easy to integrate into existing ATMS solutions.

13. Technolution BV Traffic management is a complex task with multiple activities and operations happening all at once. High levels of operator skill are required. This proposal introduces an Autopilot into the traffic management centre, which will automate repeatable and predictable elements of traffic management. It will result in operators having more time for tactical / strategic direction and tactical / strategic operations by automating many of the day-to-day routine activities. This should enable integrated network management in a large-scale (nationwide) road network, thereby reducing operator stress, improving the accuracy and reliability of decisions and speeding up responses to incidents and events. The improved speed and accuracy of decision-making will have a positive impact on the quality of performance of the road network, on the levels of unnecessary delays and on the emissions and economic disruption caused by delays. The Autopilot is a module that can be fitted into new and existing national, regional, urban and rural traffic management centres.

14. Lot 2

15. Fileradar BV ADAPT: Advanced Data Patrolling ADAPT (Advanced Data Patrolling) is a system developed by Fileradar in co-operation with Be-Mobile that automatically identifies, classifies and predicts traffic related events. A series of advanced algorithms fuses a large number of data sources including floating car data, CCTV, Twitter, apps, rainfall radars and emergency services reports, resulting in superior quality. With ADAPT’s unique user interface, traffic controllers can easily monitor, prioritize and anticipate on incidents throughout the road network, on motorways as well as on urban roads, all via a standard web browser.

16. Goudappel Coffeng Identification and prediction of incidents by learning algorithms Goudappel Coffeng and Mott MacDonald will develop and demonstrate a module to: Predict and detect congestion Detect incidents as car breakdowns and accidents. This module is based on four key features: data fusion, real-time estimation of the fundamental diagram, fuzzy traffic state estimation and artificial neural networks. The module will be demonstrated on real traffic data, from highways, in the regions Eindhoven and the West Midlands (i.e. around Birmingham). As input data for the development and implementation of the module, we will use loop detector data, floating car data (TomTom) and Can bus data (if available). By using data fusion the reliance on loop detector data will be minimalized. We will demonstrate the performance of the module if no loop detector data is available. We will also show that the module can actually be used in a traffic management centre. For the validation of the module we will use incident logging data as available in the traffic management centres. We will be able to show the actual results and performance of the module. Both in latency and in quality. The final result will be a demonstration version of a module to be used for virtual patrolling, using floating car data (which is available worldwide), enriched with, if available, loop detector data and other data. This module can, after the complete implementation, be used in traffic management centres, by road authorities, service providers, et cetera.

17. Lot 3

18. Beijer Automotive BV Wi-Fi connected CAN In-Car; connecting cars for autonomous traffic flow management Combined in-car sensor data such as speed, use of brakes, use of lights, use of wipers, steering wheel position and headway to the next vehicle gives valuable information about traffic situations, especially if the information of individual vehicles can be combined and analysed as a basis for tailored advice to drivers. A generic in-car module allowing wireless communication from vehicle to vehicle through WiFi-P technology combined with a generic CAN-bus device for data coupling and a (Head Up) Display as interface with the driver will be developed. This module will exchange detailed in-car sensor-data and its fusion with other cars in a wide perimeter to make sure all drivers are aware of the traffic situation. By using highly sophisticated and advanced algorithms each On-Board module will be capable of advising the driver regarding for example speed, headway or insertion. TMCs may receive event data or send traffic guiding information to the vehicle displays. By using a combination of proven in-car technologies, independent from road-side systems, TMCs, vehicle brand or -type a scalable and place independent transmissible solution is offered. Through the co-operative wireless information exchange of in-car CAN-sensor-data between a co-operative network of vehicles its drivers will receive personalised advice aimed at improved traffic control, a lower impact of incidents by i.e. E-Call and B-Call, improved road safety, lower emissions and less investments in road(-side) infrastructure. Through its generic and co-operative use of in-car sensor data, the consortium’s concept offers the future’s road to the: “ONLY fully GENERIC basic ITS infrastructure suitable to connect with >95% of vehicles to be suited for future FULLY CONTROLLED TRAFFIC with the opportunity to be developed into a CO-OPERATIVE ROAD TRAIN of vehicles”.

19. Cubic As mobile and in-vehicle computing becomes more widespread, new opportunities to achieve strategic views of the road network and influence individual journeys are becoming a possibility. Through in-vehicle equipment, extended via a Smart Phone mobile application, this module will implement a cost effective intelligent interface between a Traffic Management Centre (TMC) and road users that will provide the TMC with: classification and aggregation of individual vehicle data Notification of vehicle event data Virtual information dissemination and collection sites, to supplement physical roadside infrastructure And allow the TMC to provide the road user: High quality, targeted information that can be tailored to specific journeys The Smart Phone technology will expedite the deployment of these services, whilst the core functionality remains compatible with the roll-out of conventional C-ITS On-board Units and Roadside Units.

20. Imtech Traffic & Infra UK Limited Charm Cooperative Systems (ChaCoSy), leadpartner ChaCoSY is a central ITS station (C-ITS-S) providing a gateway to cooperative vehicles and, based on enriched data from these vehicles, delivers added-value intelligence to Traffic Management Centres (TMCs). Traffic managers can inform road users about traffic and road conditions and incidents - quickly and accurately by providing in-vehicle information creating a new dimension in traffic management. It is the missing link between TMCs and co-operative vehicles, enabling customer focussed, smarter and more cost effective road traffic systems. ChaCoSy can be integrated into new or existing Traffic Management Systems and co-exist with legacy systems supporting a gradual migration and cost effective technology transition. It is modular and part of an end to end approach for delivering co-operative traffic management services through the use of co-operative systems, using standardised wireless communication technologies between vehicles and road side systems.