Fred L. Mannering
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Previous Organizations / Institutes
The organizations / institutes from the scholar's other articles in the past ten years
Research Subjects
Fred L. Mannering has a total of 159 co-authors. Here are the top co-authors by number of shared publications:
- Panagiotis Ch. Anastasopoulos
School of Civil Engineering, Purdue University, Indiana Local Technical Assistance Program, West Lafayette, IN, USA
10 shared publications - Dulcy M. Abraham
Purdue Univ
8 shared publications Woodrow Barfield
Department of Industrial and Systems Engineering, Virginia Polytechnic Institute and State University, Blacksburg, VA 24061
8 shared publications- Ali Behnood
Department of Civil Engineering, University of Mississippi, Oxford, MS, USA
5 shared publications Linda Ng
Department of Civil Engineering, University of Washington, Seattle, WA 98195
5 shared publications- Samuel Labi
Purdue Univ
5 shared publications
Latest Publications
- Top Cited Papers
- 7 March 2026
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 231, 108487
Determinants of bicyclist injury severity in vehicle-bicycle crashes: Model specification and the assessment of temporal and age effects
- 7 March 2026
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 231, 108487
Top Cited PapersDeterminants of bicyclist injury severity in vehicle-bicycle crashes: Model specification and the assessment of temporal and age effects
- 12 October 2025
- Published by Elsevier in Analytic Methods in Accident Research
- Vol. 48
A note on random parameters models of crash injury severities with k-means clustering for data preprocessing
- 12 October 2025
- Published by Elsevier in Analytic Methods in Accident Research
- Vol. 48
A note on random parameters models of crash injury severities with k-means clustering for data preprocessing
- 9 September 2025
- Published by Elsevier in Analytic Methods in Accident Research
- Vol. 48
Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges
- 9 September 2025
- Published by Elsevier in Analytic Methods in Accident Research
- Vol. 48
Analyzing crash injury severities with deep learning and advanced statistical models: An assessment of methodological challenges
- 16 December 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 26  (2) , 1375-1394
The State of Urban Air Mobility Research: An Assessment of Challenges and Opportunities
Electric vertical take-off and landing aircraft-based urban air mobility (UAM) service in conjunction with personal flying cars are anticipated to offer mobility benefits in terms of reduced travel time, alleviate demand from overburdened ground transportation systems; and bring forth a paradigm shift in travel patterns. Furthermore, uncrewed aerial vehicles or drones have significant potential in package and food delivery and in various disaster responses. In this context, this paper aims to provide a systematic review of current research and studies covering crucial aspects of urban air mobility and flying car ecosystems including public perception, potential market demand, infrastructure requirements, operations and traffic management processes, and policy formulation. Insights offered by the current studies encompassing these areas are summarized and discussed in this paper.
- 16 December 2024
- Published by Institute of Electrical and Electronics Engineers (IEEE) in IEEE Transactions on Intelligent Transportation Systems
- Vol. 26  (2) , 1375-1394
The State of Urban Air Mobility Research: An Assessment of Challenges and Opportunities
Electric vertical take-off and landing aircraft-based urban air mobility (UAM) service in conjunction with personal flying cars are anticipated to offer mobility benefits in terms of reduced travel time, alleviate demand from overburdened ground transportation systems; and bring forth a paradigm shift in travel patterns. Furthermore, uncrewed aerial vehicles or drones have significant potential in package and food delivery and in various disaster responses. In this context, this paper aims to provide a systematic review of current research and studies covering crucial aspects of urban air mobility and flying car ecosystems including public perception, potential market demand, infrastructure requirements, operations and traffic management processes, and policy formulation. Insights offered by the current studies encompassing these areas are summarized and discussed in this paper.
- 29 January 2024
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 198, 107454
Assessing the collective safety of automated vehicle groups: A duration modeling approach of accumulated distances between crashes
- 29 January 2024
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 198, 107454
Assessing the collective safety of automated vehicle groups: A duration modeling approach of accumulated distances between crashes
- 6 May 2022
- Published by Taylor & Francis in Journal of Transportation Safety & Security
- Vol. 15  (4) , 397-420
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time
Asleep/fatigued driving has proven to be a serious and persistent highway-safety problem. This study investigates aspects of this problem by studying the temporal changes in driver-injury severities in single-vehicle crashes that involve asleep/fatigued driving. To do this, random parameters logit models with unobserved heterogeneity in means and variances were estimated to compare injury-severities in asleep/fatigued crashes in Florida in 2014 and 2019. The estimated models are based on available police-reported crash data that include a wide variety of factors related to the spatial, temporal, and weather characteristics as well as vehicle characteristics, traffic information, harmful events, roadway attributes, and driver characteristics. The model estimates show that there were many statistically significant factors determining driver-injury severities resulting from asleep/fatigued driving, and that the effect of these factors on driver-injury severities has changed significantly over time, with many explanatory variables producing temporally shifting marginal effects. While asleep/fatigued driving crashes remain a serious safety concern, the empirical findings indicate (using model prediction simulations) that the resulting injury severities in crashes involving asleep/fatigued driving have declined between 2014 and 2019, likely reflecting the effectiveness of safety campaigns and ongoing improvements in vehicle safety technologies and highway safety features.
- 6 May 2022
- Published by Taylor & Francis in Journal of Transportation Safety & Security
- Vol. 15  (4) , 397-420
An empirical analysis of how asleep/fatigued driving-injury severities have changed over time
Asleep/fatigued driving has proven to be a serious and persistent highway-safety problem. This study investigates aspects of this problem by studying the temporal changes in driver-injury severities in single-vehicle crashes that involve asleep/fatigued driving. To do this, random parameters logit models with unobserved heterogeneity in means and variances were estimated to compare injury-severities in asleep/fatigued crashes in Florida in 2014 and 2019. The estimated models are based on available police-reported crash data that include a wide variety of factors related to the spatial, temporal, and weather characteristics as well as vehicle characteristics, traffic information, harmful events, roadway attributes, and driver characteristics. The model estimates show that there were many statistically significant factors determining driver-injury severities resulting from asleep/fatigued driving, and that the effect of these factors on driver-injury severities has changed significantly over time, with many explanatory variables producing temporally shifting marginal effects. While asleep/fatigued driving crashes remain a serious safety concern, the empirical findings indicate (using model prediction simulations) that the resulting injury severities in crashes involving asleep/fatigued driving have declined between 2014 and 2019, likely reflecting the effectiveness of safety campaigns and ongoing improvements in vehicle safety technologies and highway safety features.
- 1 April 2021
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 153, 106039
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions
- 1 April 2021
- Published by Elsevier in Accident Analysis & Prevention
- Vol. 153, 106039
The role of gender and temporal instability in driver-injury severities in crashes caused by speeds too fast for conditions