John McCombs
John McCombs
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Identifying Important Roadway Corridor Factors which Affect Crashes Influenced by Unsafe Driving Behaviors to Help Law Enforcement Proactively Reduce Crashes
Random forest regression models identified factors of roadway corridors that can contribute to unsafe driving behaviors that result in crashes.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
,
Grady Carrick
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DOI
Identifying Corridor-Level Safety Improvements for Urban and Suburban Arterials in Florida Within a Safe System Framework
Using a corridor-level approach to traffic safety with a Safe System framework can help to reduce fatalities and serious injuries.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
,
Nizam Uddin
,
Grady Carrick
Cite
DOI
Comparison of corridor-level fatal and injury crash models with site-level models for network screening purposes on Florida urban and suburban divided arterials
Corridor-level crash prediction models were found to be more accurate than similar site-level models. Both corridor- and site-level models can be used together to expedite network screening.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
Cite
DOI
Improving Law Enforcement and Emergency Response to Disabled Vehicle Crashes Using Waze Crowdsourced Data
Early detection of disabled and abandoned vehicles using crowdsourced Waze data, namely during morning peak hours and on urban interstates, can help responders reach vehicles sooner before a crash occurs.
Adrian Sandt
,
John McCombs
,
Haitham Al-Deek
,
Grady Carrick
Cite
DOI
Corridor-level network screening and modeling of fatal and serious injury crashes on urban and suburban arterial corridors in Florida
A corridor definition was developed and applied to Florida roadways, allowing for expedited network screening and safety improvement identification to reduce fatal and serious injury crashes.
John McCombs
,
Adrian Sandt
,
Haitham Al-Deek
Cite
DOI
Using Crowdsourced Data to Reduce Traffic Congestion by Improving Detection of and Response to Disabled or Abandoned Vehicles on Florida Limited-Access Facilities
This paper explored how crowdsourced data can help traffic management centers detect and respond to disabled or abandoned vehicles faster, potentially preventing crashes and reducing congestion.
Adrian Sandt
,
John McCombs
,
Erik Cornelison
,
Haitham Al-Deek
,
Grady Carrick
Cite
DOI
Evaluation of Two Regional Transportation Systems Management and Operations Strategies for Improving the Response to Disabled Vehicles
This paper estimated the congestion reduction impacts of expanding safety service patrol hours and implementing an instant dispatch tow program focused on addressing disabled vehicles.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
,
Grady Carrick
Cite
DOI
Analyzing Disabled Vehicle Incident Durations and Crash Response to Identify Service Patrol Expansions and Reduce the Need for Law Enforcement Involvement
This paper investigates the impact RRs have on disabled vehicle events and identifies roads with potential for expansion of RR patrol hours by analyzing 2019 incident and crash data.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
,
Grady Carrick
,
Nizam Uddin
Cite
DOI
Using Wrong-Way Driving Detection Data to Identify Factors That Affect Wrong-Way Driving Behavior and Compare Detection Technologies
WWD detection data from 48 toll road exit ramps were modeled to identify the factors that affect WWD frequency.
Adrian Sandt
,
Haitham Al-Deek
,
Nizam Uddin
,
Eric Ginsberg
,
John McCombs
,
Angel Lopez Sanchez
Cite
DOI
Using context classification to develop intersection Safety Performance Functions: national survey of current practices and evaluation of benefits for rural Florida intersections
Safety engineers from 42 DOTs across the United States were surveyed about their state’s current SPF development practices and context classification.
John McCombs
,
Haitham Al-Deek
,
Adrian Sandt
,
Ghalia Gamaleldin
,
Alan El-Urfali
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