Vision Zero Project: Enhancing Road Safety With the EIT Urban Mobility

Road safety is a paramount concern for cities worldwide, with the goal of achieving zero casualties in road accidents being a significant challenge. The RAPTOR TLV - Vision Zero Project was undertaken by the?Tel Aviv Municipality?in partnership with?Cognata, with the aim of improving road safety and reaching zero casualties in the City of Tel Aviv. This article provides an overview of the project, highlighting the problem addressed, the solution developed, and the outcomes achieved.

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The RAPTOR TLV - Vision Zero Project, funded by? EIT Urban Mobility ?and co-funded by the European Union, focused on an accident-prone area in Tel Aviv known as Derech Jaffa. The project aimed to tackle road safety issues by leveraging a safety digital twin developed by Cognata. The digital twin was modeled and imported into Cognata’s platform, enabling analysis of safety scenarios and identification of critical safety factors.

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Through comprehensive data analysis and scenario simulations, the project provided valuable insights to the Tel Aviv Municipality, assisting in exploring the possibilities for the improvement of road safety measures in future projects. This article presents the key findings, recommendations, and lessons learned from the project.

Multiple safety scenarios were meticulously constructed and tested within the Mobility Digital Twin, simulating real-world road conditions and interactions. The scenarios encompassed different combinations of road users and locations, creating a diverse range of potentially hazardous situations. The aim was to identify the most dangerous scenarios, considering various variables such as vehicle speeds, locations, and interactions.

The analysis of the safety scenarios yielded critical insights that shed light on the most hazardous situations in the pilot area. The main findings were:

• High-Risk Areas:?The simulations revealed that the areas around HaKishon and Simtat Beit HaBad were particularly susceptible to dangerous situations during truck unloading activities. Identifying these high-risk locations allows the municipality to prioritize safety measures and allocate resources accordingly.
• Multi-Dangerous Zones:?Certain scenarios, where standing trucks coexisted with motorcycles bypassing in the same area, demonstrated a significant risk of accidents exceeding 45%. Recognizing these multi-dangerous zones is crucial for implementing targeted interventions to mitigate potential collisions.
• Impact of Speed:?Comparing different initial speeds, it was observed that a 50 KPH initial speed resulted in nearly 50% more accidents than a 40 KPH initial speed. Lowering the speed limit in critical areas is shown to be an effective measure for reducing the likelihood of accidents and their severity.