Published Dec 20, 2021

Forecasting Motor Vehicle Collision

Darren Shannon delves into the future of road safety by exploring how autonomous vehicles could drastically cut collision rates and enhance urban transportation. Merging his expertise in quantitative finance with safety data, he introduces innovative forecasting models that inform strategic development with policymakers, using the Heston model to predict motor vehicle collisions more accurately.

Episode Highlights

Topics covered

Episode Highlights

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Dexa/Kyle Polich

Forecasting Motor Vehicle Collision

Topics covered

Popular Clips

Forecasting Asset Prices

Understanding Crash Rate Volatility

Financial Model Comparison

Future Road Safety

Exploring Data Ethics

Adapting to Unpredictable Events

Mathematical Similarities

Automating Safety Targets

Safety Targets and Long-Term Trends

Switching Parameters and Roadside Safety

AI Transformation

Quantitative Finance and Transportation Safety

Future of Autonomous Vehicles

Stochastic Volatility in Finance

Episode Highlights

Road Safety Innovations

Policy and Strategic Implementation

Forecasting Techniques

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Predictive Policing

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CAREER Prediction

Forecasting Motor Vehicle Collision

Topics covered

Popular Clips

Episode Highlights

Road Safety InnovationsDarren Shannon explores the future of road safety and the transformative impact of autonomous vehicles. He discusses models predicting significant reductions in collision rates and the infrastructure needed for self-driving cars to enhance urban transportation.

Road Safety Innovations

Policy and Strategic ImplementationDarren Shannon discusses the strategic development of road safety targets and the collaboration needed with policymakers to achieve them. His work focuses on creating adaptable models that can forecast collision rates and inform effective safety measures.

Policy and Strategic Implementation

Forecasting Techniques

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