A review of incident prediction, resource allocation, and dispatch models for emergency management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
A Review of Incident Prediction, Resource Allocation, and Dispatch Models for Emergency Management
In the last fifty years, researchers have developed statistical, data-driven, analytical, and
algorithmic approaches for designing and improving emergency response management …
algorithmic approaches for designing and improving emergency response management …
Safety evaluation of freeway exit ramps with advisory speed reductions
MU Megat Johari, N Megat Johari… - Transportation …, 2023 - journals.sagepub.com
Posted speed limits inform drivers of the legal maximum allowable speed. In contrast,
advisory speeds provide recommendations to drivers based on highway design, operating …
advisory speeds provide recommendations to drivers based on highway design, operating …
Trend shifts in road traffic collisions: an application of hidden Markov models and generalised additive models to assess the impact of the 20 mph speed limit policy in …
V Popov, G Nightingale, AJ Williams… - … and planning B …, 2021 - journals.sagepub.com
Empirical study of road traffic collision (RTCs) rates is challenging at small geographies due
to the relative rarity of collisions and the need to account for secular and seasonal trends. In …
to the relative rarity of collisions and the need to account for secular and seasonal trends. In …
Learning incident prediction models over large geographical areas for emergency response systems
Principled decision making in emergency response management necessitates the use of
statistical models that predict the spatial-temporal likelihood of incident occurrence. These …
statistical models that predict the spatial-temporal likelihood of incident occurrence. These …
Learning incident prediction models over large geographical areas for emergency response
SM Vazirizade, A Mukhopadhyay… - … on Smart Computing …, 2021 - ieeexplore.ieee.org
Emergency Response Management (ERM) necessitates the use of models capable of
predicting the spatial-temporal likelihood of incident occurrence. These models are used for …
predicting the spatial-temporal likelihood of incident occurrence. These models are used for …
[PDF][PDF] Zero inflated Poisson distribution in eq
BP Tlhaloganyang, RM Sakia - Research Journal of Mathematical and Stat, 2020 - isca.me
From the literature, choosing the right model when literature. For count outcome variable
with overdisp distributions such as Zero Inflated Poisson/Negative Bi numerous studies …
with overdisp distributions such as Zero Inflated Poisson/Negative Bi numerous studies …
Collaborative Research Project to Coordinate the Data from the CRASH Predictive Analytics Program Between TDOT and TDOSHS
Emergency Response Management (ERM) necessitates the use of models capable of
predicting the spatial-temporal likelihood of incident occurrence. These models are used for …
predicting the spatial-temporal likelihood of incident occurrence. These models are used for …
Exploring crash risk factors associated with drivers in Saudi Arabia
The traffic safety in roads depicts “the procedures implemented and actualized to inhibit
drivers and operators from being killed or significantly wounded”. In this study, the random …
drivers and operators from being killed or significantly wounded”. In this study, the random …
Analysis of crash frequency model: Study case of Indonesia toll roads
DH Syaifullah, G Juliant, BM Iqbal… - AIP Conference …, 2020 - pubs.aip.org
This paper analyzed several road factors that affect crash occurrence that happen in
Indonesia Toll roads. The factors analyzed are Annual Average Daily Traffic (AADT), road …
Indonesia Toll roads. The factors analyzed are Annual Average Daily Traffic (AADT), road …