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PILOT: Hamburg (DE); USE CASE: Monitoring, modelling and redesigning road/bike corridors to deconflict their interactions bike-vehicle to increase safety and efficiency

CONTEXT AND
CHARACTERITICS OF PILOT

One of Hamburg’s strategic goals20 is to accelerate bike traffic as an important pillar of modal shift for decarbonization. However, the increase of bike traffic will be accompanied by a growing number of conflict situations between cyclists and road traffic. On the other hand, the number of e scooter accidents in Germany is increasing enormously, so that the city aims to establish slow zones (Automated throttling of maximum speed through virtual GNSS fences at dangerous locations) for them and ensure that e scooter riders are also protected. 

Therefore, Hamburg city needs to solve these conflict situations as well as to optimize the limited traffic space between bikes/e-scooters and road traffic. This pilot will be focused 2 relevant intersections/merging areas of the current road maintenance action plan for 2025/2026.

Scope (What will be analysed/assessed/evaluated by MITHOS? What is ultimately expected to be obtained?)

DLR will collect high-definition trajectory data (HD data) from selected intersections and merge them into MITHOS with floating bike data, generating intelligent data to support strategic local traffic management with micromobility data in the area. DLR/THI will fine-tune and deploy innovative environment perception algorithms to gain insights into road user composition and counts, their behaviour and their critical interactions (spatially in VRU). In addition, DLR/THI will develop a simulation framework (SUMO) through digital twins to resemble virtual reconstructions of road lanes and cycle paths. KEITA will analyse the safety of cycling infrastructure in a macroscopic simulation based on international standards (i.e. CycleRAP). All of this data is going to be fed into MITHOS to be merged and extrapolate wide area counts and modal split information (real-time and historical). This will allow the provision of innovative databases that will then be processed in the DSS module to help the city’s strategic decision-making processes. Concretely, an intersection redesign to optimize interactions between vehicles and bicycles will be obtained, which will increase the efficiency and safety of bicycle corridors (selected lanes and intersections). The improvements found for cyclists should also ensure that these solutions will not cause new safety issues for e-scooters.

Data / tools needed

HD-maps of the targeted area; Trajectory data of field sensors; Traffic light programs and process data; Mobility data from MDS21 or GAIA-X dataspace22; Historical data including accident analysis; stochastic threat response model for e-scooters.

MITHOS validation in use case

  1. KPI Efficiency: time lost per vehicle/e-scooter per. Baseline: time needed to cross the segment. Target: time needed decreased by 10% (adjusted to distribution of user types)
  2. KPI operating costs: transport operation costs. Baseline: Planned costs per 10 years maintenance plan for re-constructions in terms of safety issues. Target: Reduce maintenance cost by better investment planning up to 10% during the live cycle
  3. KPI fossil fuel consumption. Baseline: Nb. of cars/bikes per kilometre. Target: Reduction of motorized traffic by 20%
  4. KPI infrastructure failure probability: N/A
  5. KPI emissions. Baseline: Nb. of cars/bikes per kilometre and measured noise pollution as daily trend line at one selected intersection. Target: Reduction of motorized traffic by 20%, and decreased noise pollution by 5 dB against baseline
  6. KPI nº of accidents. Baseline: (a) Critical situations without measures, and (b) Inaccurate counts of micromobility road users. Target: (a) Reduction of critical situations by 30% for bikes as well as e-scooters, and (b) 50% reduction of error in determination of crash rates.

Stakeholders and end users involved in the use case

BVM will involve the different public transport operators, associations representing cyclists and pedestrians, to support the requirements’ definition, data provision and the implementation of MITHOS in the pilot.