Crash risk analysis during fog conditions using real-time traffic data

Yina Wu
Mohamed Abdel-Aty
Jaeyoung Lee

Low visibility conditions (fog) have significant impacts on crash risk. Previous studies have been point out that the crash severity and multi-vehicles involved crash risks are prone to increase during low visibility conditions. This study analyzed the changes of traffic characteristic and safety conditions at the fog duration. Both weather data and real-time traffic data were collected from airports at two regions in Florida. The airports provides the visibility conditions information, while the Regional Integrated Transportation Information System (RITIS) provides the traffic information. The traffic patterns analysis shows that the average 5-minute speed and the average 5-minute volume were prone to decrease during fog. In order to study changes of the crash risks under fog conditions, a “Crash Risk Increase Indicator (CRII)” was proposed to explore the differences of crash risk between fog and clear conditions. A binary logistic regression model was applied to link the CRII values with traffic flow characteristics. The results shows that the crash risks were tend to increase at ramp vicinities in fog conditions. Also, the average 5-minute volume during fog and the lane location are important factors for crash risk increase. Meanwhile, the results indicated the crash risks characteristics are different by different regions.



Shipping and the environment – research meets reality

Centre for Transport Studies (CTS) in co-operation with Ports of Stockholm invite you to the seminar Shipping and the environment – research meets reality.



Simulation of cut-in by manually driven vehicles in platooning scenarios

A study in a VTI-driving simulator has showed that a platoon will be able to handle a cut in from a manually driven car. The results of this study have recently been presented at two conferences in Japan.



The five-year anniversary of European Road Profile Users' Group (ERPUG) Forum will take place at Ramboll head quarter, Copenhagen, Denmark October 19-20, 2017.


Self-driving buses in Sweden next year?

A self-driving, fossil-free bus. This idea might become reality through a forthcoming collaborative project involving the Swedish National Road and Transport Research Institute (VTI), Linköping University and several other participants. The project group aim...


New climate-proof solutions for hard surfaces in cities

High-density road infrastructure that emphasise maximum durability and minimum maintenance create inflexible systems, which put increased stress on urban trees and lead to increased risk for flooding. Over the past five years, the ‘Climate-proof solutions for...


VTI is preparing for automated vehicles

Automation of traffic systems will lead to major changes. The European Union’s (EU) CoEXist research project began in June 2017 with the aim of preparing cities and road operators for the introduction of self-driving vehicles. The Swedish National Road and...


Vehicle Driver Monitoring: sleepiness and cognitive load

To prevent road crashes it is important to understand driver related contributing factors, which have been suggested to be the critical reason in 94 per cent of crashes. The overall aim of the project Vehicle Driver Monitoring has been to advance the...