Impact of Freeway Service Patrols on Incident Clearance Duration: Case Study of Florida’s Road Rangers

Salum, Jimoku Hinda; Sando, Thobias; Alluri, Priyanka; Kitali, Angela E.

doi:10.1061/jtepbs.0000411

Cited by 11 publications

(9 citation statements)

References 20 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Previous studies have found various statistical modeling methods to be appropriate for examining incident clearance times. ese models include simple regression models [29], switching regression models [30], quantile regression models [2,31], hazard-based duration models [32][33][34][35][36][37][38], accelerated failure time (AFT) models [33,39,40], finite mixture models [41], generalized F distribution models [42], artificial neural network models [43], and Bayesian network models [44]. Hazard-based duration models have been found to be more appropriate in examining duration data [32,45,46]; therefore, in this paper, random parameters hazard-based duration models were employed to identify contributing factors of incident clearance time.…”

Section: Methodsmentioning

confidence: 99%

“…Karlaftis et al [11] developed logistic regression models to evaluate the efficiency of Indiana's Hoosier Helper FSP program based on savings from reducing the probability of secondary crash occurrence and the findings showed that improvements can be made on road safety and cost-effectiveness of FSP program using the presented methodology. Salum et al [2] developed a quantile regression model and showed that Florida Road Rangers response resulted in shorter incident clearance duration. Fries et al [27] used PARAMICS as a traffic simulation tool to ultimately estimate the financial impact of quick-clearance legislation and compared it with other incident management strategies, such as FSP program, traffic cameras, and sensors.…”

Section: Review Of Previous Studiesmentioning

confidence: 99%

“…Nonrecurrent traffic incidents cause acute traffic congestion which can lead to secondary crashes, travel delay, excessive fuel consumption, vehicle emissions, air pollution, and social and economic insufficiency [1,2]. To mitigate the negative effects of nonrecurrent incident related congestion, many major cities have adopted intelligent transportation systems (ITS) in their incident management plans [3][4][5].…”

Section: Introductionmentioning

confidence: 99%

“…FSP programs are also intended to reduce incident durations by detecting, responding, and clearing traffic incidents quickly and timely in cooperation with other emergency agencies [6,9]. Additionally, these programs help provide real-time traffic status to motorists through variable massage signs (VMSs) and traffic apps [2,13].…”

Section: Introductionmentioning

confidence: 99%

See 3 more Smart Citations

Evaluating the Impact of Freeway Service Patrol on Incident Clearance Times: A Spatial Transferability Test

Islam

Adanu

Hainen

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

Freeway service patrol (FSPs) programs have been considered as an effective tool for traffic incident management in minimizing the adverse effects of traffic incidents. In this study, random parameters hazard-based duration modeling method was used to evaluate the impact of the newly implemented Alabama Service and Assistance Patrol (ASAP) program, using incident clearance time as a performance measure. It was determined that there is a statistically significant difference in the factors that influence incidents clearance times between incidents that occurred inside and outside the ASAP regions. A total of five variables (on-road, nighttime, peak hours, rain, and fire response present) were observed to have random effects along with ten fixed effects variables on incidents occurring inside the ASAP regions. On the other hand, incidents that occurred outside the ASAP regions were found to have three random effects variables (on-road, nighttime, and fire response present) and seven fixed effects variables. The estimation results indicate a significant association of incident clearance times to incident related variables such as involvement of CMVs, fatality, vehicle towing, seat belt indicated as involved, and on-road incidents that occurred both inside and outside the ASAP regions. The results also reveal that incident clearance times are influenced strongly by temporal variables (e.g., nighttime), traffic factors (e.g., AADT), and operational variables (e.g., fire response present) for incidents both inside and outside the ASAP area models. Overall, it was observed that the incident clearance times recorded in the regions where the ASAP program is in effect are significantly different. The findings of this study are expected to be useful for the state traffic incident management (TIM) agencies in developing and executing strategies to minimize incident clearance times. Ultimately, the study provides a data-driven evidence-based assessment of the ASAP program in the state.

show abstract

Section: Methodsmentioning

confidence: 99%

Section: Review Of Previous Studiesmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the Impact of Freeway Service Patrol on Incident Clearance Times: A Spatial Transferability Test

Islam

Adanu

Hainen

et al. 2022

Journal of Advanced Transportation

View full text Add to dashboard Cite

show abstract

“…In the response phase, the postdisaster actions are taken immediately, such as care facilities relocations, resource dispatching (such as ambulances, EMS personnel, and hospital), patients' transportation and treatment (Wang et al, 2012). In the recovery phase, reconstruction activities are taken to return a specific area to 'normality' after being devastated (Salum et al, 2020, Iliopoulou et al, 2020. Among the three stages in the EMS environment, only the disaster response actions are required to be decided within a few seconds or even less (Dimitriou et al, 2018), which raises a strong need for real-time decision support, especially for the ambulance management in the aftermath of accidents.…”

Section: Motivationsmentioning

confidence: 99%

Emergency Vehicle Routing in Urban Road Networks with Multistakeholder Cooperation

Zeng

Wang

et al. 2021

J. Transp. Eng., Part A: Systems

View full text Add to dashboard Cite

The lack of multi-stakeholder cooperation is one of the main challenges faced by emergency medical services (EMS). Especially in the ambulance routing process, inactive traffic operators fail to provide coordination to prioritize the ambulance, while ignoring the choice of hospitals will lead to inevitable patient transfer between hospitals. To provide efficient decision support for EMS, this paper considers daily ambulance routing problems in a network with high spatial resolution in which two advanced technologies are introduced: pre-hospital screening that provides patient injury diagnosis and lane pre-clearing that ensures the pre-defined driving speed of ambulances. Three different types of ambulances are used to transport and offer first aids to patients based on the screened results. To manage the ambulance fleet properly, a mixedinteger linear programming (MIP) model is proposed to assign vehicles to the injured and plan routes with the shortest travel time. A semi-soft time window constraint is incorporated to reflect the late arrival penalty on-site and at hospitals. Since high-quality EMS responds to the call in seconds, a real-world case in Shenzhen, China, is presented to validate the computational performance by a commercial solver GAMS. In the case study, we further analyzed the effect of different stakeholders' involvement, like the hospitals and traffic operators. This information proves the efficiency of multi-stakeholder participation in ambulance routing.

show abstract

Evaluating the impact of Road Rangers in preventing secondary crashes

Salum

Kitali

Sando

et al. 2021

Accident Analysis & Prevention

View full text Add to dashboard Cite

Impact of Freeway Service Patrols on Incident Clearance Duration: Case Study of Florida’s Road Rangers

Cited by 11 publications

References 20 publications

Evaluating the Impact of Freeway Service Patrol on Incident Clearance Times: A Spatial Transferability Test

Evaluating the Impact of Freeway Service Patrol on Incident Clearance Times: A Spatial Transferability Test

Emergency Vehicle Routing in Urban Road Networks with Multistakeholder Cooperation

Evaluating the impact of Road Rangers in preventing secondary crashes

Contact Info

Product

Resources

About