Peter Savolainen

MSU Foundation Professor of Civil and Environmental Engineering Michigan State University

  • East Lansing MI

Peter Savolainen’s research examines the fundamental nature of road user behavior.

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Teen Driver Safety Week – Let our experts help with your coverage!

October 20 is the start of National Teen Driver Safety Week and Michigan State University’s Peter Savolainen is available to discuss his research on distracted drivers. Savolainen, MSU Foundation Professor in the Department of Civil and Environmental Engineering, examines the fundamental nature of road user behavior, particularly how traffic safety and operations are influenced by behavior in consideration of roadway and traffic characteristics. The charts below show how the rates of secondary task involvement and texting may be impacting safe driving among America’s youth. Here’s what MSU’s experts found: Approximately 60% of all trips involved engagement in some distracting behavior. This included a wide range of tasks, classified into more than 60 categories, which included cell phone use, eating/drinking, interacting with passengers, reaching for items in the vehicle and looking at objects external to the vehicle, among others, according to Savolainen. “Cell phone use continues to be the most discussed distraction concern at the national level, and rates are consistently highest among the younger age groups, generally declining with age,” he said. “Interestingly, use rates are not quite as high among the youngest age group, which is partially reflective of the context under which these individuals drive.” “Many of these are teenagers on graduated licenses. One troubling aspect here is that as these younger drivers age, it is possible that the overall rate of cell phone related distractions increases significantly over time,” Savolainen added. Are you a journalist who is looking to discuss these findings or learn more about National Teen Driver Safety Week? Then let our experts help with your coverage. Dr. Peter Savolainen is an MSU Foundation Professor in the Department of Civil and Environmental Engineering.  His research examines the fundamental nature of road user behavior, particularly how traffic safety and operations are influenced by behavior in consideration of roadway and traffic characteristics. Dr. Savolainen is available to speak to media regarding this topic – simply click on his icon to arrange an interview.

Peter Savolainen

Biography

Peter Savolainen is an MSU Foundation Professor in the Department of Civil and Environmental Engineering. During the course of his academic career, Savolainen has served as principal investigator (PI) or co-PI on more than $17 million of externally funded research through competitive grant awards from agencies including the National Highway Traffic Safety Administration, the Federal Highway Administration, and various state departments of transportation.

Savolainen’s research examines the fundamental nature of road user behavior, particularly how traffic safety and operations are influenced by behavior in consideration of roadway and traffic characteristics. His work in this area has provided important information as to how road user behavior changes in response to such roadway features as maximum speed limits, centerline/shoulder rumble strips, and red-light-running cameras at signalized intersections. His research has also advanced fundamental knowledge as to how roadway design, environmental factors, and in-vehicle distractions affect the risk of traffic crashes.

This research has led to the publication of more than 100 peer-reviewed articles and research reports, highlighted by a series of contributions in the areas of naturalistic driving research, countermeasure evaluation, and crash-injury severity analysis. Savolainen currently serves on the editorial advisory boards of Accident Analysis and Prevention and Analytic Methods in Accident Research, as well as on the Transportation Research Board Standing Committees on Statistical Methods and Motorcycles and Mopeds. He is a registered professional engineer in the state of Michigan.

Areas of Expertise

Traffic Safety
Traffic Management
Infrastructure Design
Transportation Economics
Transportation Safety Data, Analysis, and Evaluation
Connected and Autonomous Vehicles
Infrastructure Planning

Accomplishments

Best Paper, Transportation Research Board (TRB) of the National Academies of Sciences, Engineering, and Medicine

2024
Standing Committee on Transportation Safety Management Systems (ACS10)

Innovation in Education Award, Institute of Transportation Engineers (ITE)

2022
Transportation Education Council

Young First Author Best Paper, Transportation Research Board (TRB) of the National Academies of Sciences, Engineering, and Medicine

2022
Standing Committee on Traffic Control Devices (AHB50)

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Education

Purdue University

Ph.D.

Civil Engineering

2006

Purdue University

M.S.

Civil Engineering

2004

Michigan Technological University

B.S.

Civil Engineering

2002

News

How MSU's research powers Michigan's economy and future

MSU College of Engineering  online

2024-11-11

His research into rumble strips, high-tension cable barriers and roundabouts helps agencies like the Michigan Department of Transportation take thoughtful action to improve roadway safety and lower the nearly 300,000 traffic crashes that occur on Michigan roadways each year.

“Ultimately, this research is about creating a better, safer Michigan,” says Savolainen, a native of Michigan’s Upper Peninsula.

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Raising speed limits can cause more ‘spillover effect’ crashes, AAA finds

MLive.com  online

2024-05-14

Peter Savolainen, a professor and the interim chair of civil and environmental engineering at Michigan State University, said traffic data isn’t as readily available for local roads as it is for state highways.

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Pedestrian's risks and solutions for walking safety

The State News  online

2023-11-23

Dr. Peter Savolainen, MSU professor in the Department of Civil and Environment Engineering, said that the more cars being driven in the recent past are bigger, with an increase in SUVs and trucks, creating a more fatal result during a collision with pedestrians and cars.

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Event Appearances

“Relating Available Stopping Sight Distance to Crash Risks: Insights from NCHRP 15-75”

August 2024 | Department of Transportation Planning and Engineering of NTUA  Athens, Greece

Research Focus

Road User Behavior

How traffic safety and operations are influenced by behavior in consideration of roadway and traffic characteristics

Dr. Savolainen’s research examines the fundamental nature of road user behavior, particularly how traffic safety and operations are influenced by behavior in consideration of roadway and traffic characteristics. His work in this area has provided important information as to how road user behavior changes in response to such roadway features as maximum speed limits, centerline/shoulder rumble strips, and red-light-running cameras at signalized intersections. His research has also advanced fundamental knowledge as to how roadway design, environmental factors, and in-vehicle distractions affect the risk of traffic crashes.

Journal Articles

Evaluating Driver Response to Bridge Deck Warning Systems During Winter Weather Conditions

Transportation Research Record

2024

Warning signs are often deployed at bridge overpasses during winter to warn motorists of potentially icy surface conditions on the bridge, although the effectiveness of these signs is questionable. One potential improvement to the standard signage methods is the bridge deck warning system (BDWS), which activates a flashing warning sign border or beacon when conditions warrant based on real-time weather and bridge surface data. However, BDWSs have not been broadly implemented in the United States, and consequently, their effectiveness as a safety countermeasure is not well established. To address this knowledge gap, a series of winter field evaluations were performed along three freeway bridge overpasses in Michigan to assess the effectiveness of various BDWS strategies as a speed reduction countermeasure for motorists approaching a potentially icy bridge.

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Examining the Relationship between Connected Vehicle Driving Event Data and Police-Reported Traffic Crash Data at the Segment- and Event Level

Transportation Research Record

2024

Police-reported crash data have been the de facto element used by the transportation agencies in developing and implementing traffic safety projects. This approach is reactive in nature and can lead to suboptimal investment decisions owing to inherent challenges in crash data analysis. Because of their large-scale and near real-time availability, connected vehicle (CV) driving event data have emerged as a promising means of addressing these challenges. This study utilized CV event data for three different event types, namely, acceleration, braking, and cornering at three severity levels (easy, normal, and harsh), to examine the viability of using these data in traffic safety analysis. The results showed a strong correlation between crash frequency and CV driving event frequency. CV event data also improved the goodness-of-fit of crash frequency models.

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Effects of Speed Feedback Trailer Positioning and Police Enforcement on Vehicular Speeds in Freeway Work Zone Lane Closures

Transportation Research Record

2024

This field study sought to evaluate select strategies for improving compliance with work zone speed limits, which included a speed feedback trailer (SFT) and active police enforcement. The initial evaluation included an SFT positioned at the start or end of the taper within a freeway single-lane closure to determine which position provided the most favorable speed reductions. Positioning the SFT near the end of the taper caused the speed reductions to be sustained over a greater distance into the work zone compared with when the SFT was positioned near the start of the taper. With the SFT positioned near end of the taper, the average speed was 1.5 mph lower at the end of the taper and 0.8 mph lower 1,350-ft beyond the end of the taper compared with when the SFT was inactive.

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