Kevin Hulme

Dr. Kevin Hulme

University at Buffalo - SUNY
+1
orcid

Research Focus & Metrics

Academic Career Length

31Years (1996-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 June 2019 in Analytic Methods in Accident Research
Verified
Journal Article
Closed access
Grigorios FountasGrigorios Fountas
Grigorios Fountas
SPSarvani Sonduru Pantangi
Sarvani Sonduru Pantangi
Kevin HulmeKevin Hulme
Kevin Hulme
PAPanagiotis Ch. Anastasopoulos
Panagiotis Ch. Anastasopoulos

1 October 2019 in Transportation Research Part F: Traffic Psychology and Behaviour
Verified
Journal Article
Closed access
RHRayan Ebnali Harari
Rayan Ebnali Harari
Kevin HulmeKevin Hulme
Kevin Hulme
AEAliakbar Ebnali-Heidari
Aliakbar Ebnali-Heidari
AMAdel Mazloumi
Adel Mazloumi

1 March 2017 in Analytic Methods in Accident Research
Verified
Journal Article
Closed access
TSTawfiq Sarwar
Tawfiq Sarwar
PAPanagiotis Ch. Anastasopoulos
Panagiotis Ch. Anastasopoulos
NGNima Golshani
Nima Golshani
Kevin HulmeKevin Hulme
Kevin Hulme

16 July 2020 in Frontiers in Built Environment
Verified
Journal Article
Open access
PDF file
SASheikh Shahriar Ahmed
Sheikh Shahriar Ahmed
Kevin HulmeKevin Hulme
Kevin Hulme
GFGrigorios Fountas
Grigorios Fountas
UEUgur Eker
Ugur Eker
IBIrina V. Benedyk
Irina V. Benedyk
PAPanagiotis Ch. Anastasopoulos
Panagiotis Ch. Anastasopoulos
In recent years, our surface transportation infrastructure is suffering from overuse, extreme traffic congestion, and roadway disrepair. Instead of following the traditional infrastructure expansion policy, current transportation research focuses on developing innovative and novel solutions to the aforementioned issues. Current pathways to overcoming these issues include the gradual transition toward a number of emerging transportation technologies, such as, autonomous motor vehicles for human transport, as well as unmanned aerial vehicles (UAV's) and “drone” technologies for surveillance, and package deliveries. However, as a long-term solution, transportation scientists are also investigating the once-seemingly futuristic notion of flying car technology—a convergent form of ground/air vehicle transportation, and assessing associated regulations. In this paper, an extensive review of current literature is conducted to explore the technological capabilities of flying cars—each requiring appropriate regulations and governance—to become fully sustainable. Specifically, issues pertinent to training, safety, environment, navigation, infrastructure, logistics/sustainability, and cybersecurity and human factors are explored. This paper concludes with a preliminary quantitative analysis exploring the public perceptions associated with flying cars—including anticipated benefits, concerns, and willingness to both hire and acquire the technology once available to consumers. Insights offered by this data will help inform next-generation policies and standards associated with the gradual advancement of flying cars.

1 December 2016 in Journal of Consulting and Clinical Psychology
Verified
Journal Article
Open access
GFGregory A. Fabiano
Gregory A. Fabiano
NSNicole K. Schatz
Nicole K. Schatz
KMKaren L. Morris
Karen L. Morris
MWMichael T. Willoughby
Michael T. Willoughby
RVRebecca K. Vujnovic
Rebecca K. Vujnovic
WPWilliam E. Pelham
William E. Pelham
Teenage drivers diagnosed with attention-deficit/hyperactivity disorder (ADHD) are at significant risk for negative driving outcomes related to morbidity and mortality. However, there are few viable psychosocial treatments for teens with ADHD and none focus on the key functional area of driving. The Supporting the Effective Entry to the Roadway (STEER) program was evaluated in a clinical trial to investigate whether it improved family functioning as a proximal outcome and driving behavior as a distal outcome. One hundred seventy-two teenagers with ADHD, combined type, were randomly assigned to STEER or a driver education driver practice program (DEDP). Relative to parents in the DEDP condition, parents in STEER were observed to be less negative at posttreatment and 6-month follow-up but not at 12-month follow-up, and there were no significant differences for observed positive parenting. Relative to teens in the DEDP condition, teens in STEER reported lower levels of risky driving behaviors at posttreatment and 6-month follow-up, but not at 12-month follow-up. Groups did not differ on objective observations of risky driving or citations/accidents. The STEER program for novice drivers with ADHD was effective in reducing observations of negative parenting behavior and teen self-reports of risky driving relative to DEDP; groups did not significantly differ on observations of positive parenting or driving behaviors. (PsycINFO Database Record

26 February 2015 in IEEE Transactions on Vehicular Technology
Verified
Journal Article
Closed access
YHYunfei Hou
Yunfei Hou
YZYunjie Zhao
Yunjie Zhao
AWAditya Wagh
Aditya Wagh
LZLongfei Zhang
Longfei Zhang
CQChunming Qiao
Chunming Qiao
XLXuejie Liu
Xuejie Liu
Transportation cyber-physical systems (TCPSs) require simulation-based testing and evaluation due to the prohibitive cost of building realistic test beds. Given the transdisciplinary nature of TCPSs, various simulation models and frameworks have been proposed in civil engineering, computer science, and related fields. Traditionally, researchers in different areas have developed their own set of simulation tools, which provide limited capability for TCPS research. In recent years, we have witnessed a growing interest of combining two or more features of traditional simulators to capture the unique characteristics of TCPSs. In this paper, we describe several mainstream simulation models used in transportation, communication, and human-factor studies in TCPS research. Moreover, we present our unique design and implementation of an integrated traffic-driving-network simulator (ITDNS). Finally, we discuss future enhancements that will promote best simulation practices for TCPS research.