Developing crash models with supporting vector machine for urban transportation planning

Xiaoduan Sun
Subasish Das
Nicholas Broussard

Effectively incorporating roadway safety into transportation planning requires robust safety models that can quantitatively predict the safety performance of future planned roadway development options. Although various safety models have been developed including the models introduced in the first edition of Highway Safety Manual (HSM) by American Association of State Highway Transportation Officials (AASHTO), these models try to link roadway design features, such as lane with, should width, horizontal curve and vertical grade design with crash occurrences at disaggregated level and require the detailed inputting data and complex application procedures. Transportation planning mainly deals with type and functionality of roadway or roadway network. The HSM crash prediction modes for urban and suburban roadway are complex involving several sub-models for different types of collisions, which makes it hard for transportation planning applications.

This paper introduces an innovative crash prediction model with so-called Support Vector Machines (SVM). Being a branch of machine learning, SVM focuses on the recognition of patterns and regularities in data. The dramatic growth in practical applications for machine learning over the last ten years has been made possible by many important developments in the underlying algorithms, techniques and readily available open-source programming code. Motivated by lack of suitable safety models for transportation planning, this study used the SVM with crash data from Louisiana urban roadways to develop safety models for urban 2-lane roadway, multi-lane roadway and freeways with satisfactory results. Comparing with parametric statistical regression models, the SVM model produces results can not only reach the same level of accuracy but also be straightforward for practical applications in urban transportation planning.



International Conference on Electric Road Systems starts today

Electric Road Systems (ERS) is a relatively new concept with many initiatives on the way. To learn from each other and stimulate new collaborations the Swedish Research and Innovation Platform for Electric Roads arranged the first international conference...


Same survey of road users’ attitudes in 50 countries

At the Road Safety on Five Continents Conference, RS5C, one entire session presented a large survey of road users' attitudes in 38 countries. Results show large differences between countries in many areas, both regarding behavior and attitudes. A new survey...


Good results with alcohol interlock program according to Swedish study

An alcohol interlock program makes it possible for drink driving offenders to continue their everyday lives. In a Swedish study most of the participants were satisfied with the program and experienced improved health. They also reported drinking alcohol more...


Traffic safety in the spotlight

Today the Conference Road Safety on Five Continents (RS5C) opened in Jeju Island, South Korea. More than 220 participators have come from all over the world to present findings and learn about traffic safety. Dr. Young Tae Kim, Secretary-General of the...


VTI will develop simulators for ambulance staff

VTI has initiated a pilot study for paramedics with the Centre for Teaching & Research in Disaster Medicine and Traumatology and Linköping University. The aim is to give ambulance staff the opportunity to practice critical medical tasks in a moving vehicle in...


Unique electrified road opens in Sweden

The world’s first electrified road recharging the batteries of cars and trucks while driving opened in Sweden. The Swedish Minister for Infrastructure, Tomas Eneroth, was at the formal inauguration of the electrified road on April 11, 2018. VTI is one of 22...