Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
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Page 1032
... model as variables . Based on crash frequency distributions and previous studies , Poisson regression , which was used as the initial step in the modeling process , and negative binomial regression , which was applied if crash data ...
... model as variables . Based on crash frequency distributions and previous studies , Poisson regression , which was used as the initial step in the modeling process , and negative binomial regression , which was applied if crash data ...
Page 1033
Under the assumption of Poisson distribution , the regression parameters , ẞo , B1 , Bq , were estimated by maximizing the logarithm of the likelihood function , which is the product of the individual probability density functions , n ...
Under the assumption of Poisson distribution , the regression parameters , ẞo , B1 , Bq , were estimated by maximizing the logarithm of the likelihood function , which is the product of the individual probability density functions , n ...
Page 1035
... regression was also the appropriate choice . The parameters for ADT , surrounding land use , number of lanes ... Poisson distribution while the after data did not . For rear - end crashes , Poisson regression was appropriate to model the ...
... regression was also the appropriate choice . The parameters for ADT , surrounding land use , number of lanes ... Poisson distribution while the after data did not . For rear - end crashes , Poisson regression was appropriate to model the ...
Contents
Probabilistic Description of Traffic Breakdown 801 | 801 |
Physics of Nucleation on Roads | 809 |
Understanding of Pavement Profiling and Validation of an Implementation | 817 |
Copyright | |
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algorithm analysis application ARCHISIM average Bashamichi behavior Beijing bicycles bus stop car-following characteristics China cities components congestion cordon cost crashes curve DCOM demand distance distribution drivers dynamic effect Engineering equation estimated evaluation factors freeway function fuzzy fuzzy logic Gaza Strip genetic algorithm headway highway Hong Kong implementation incident increase infrastructure input INRETS intersection KCRC Korea lane change measures method microsimulation mode neural network node Northern Jiaotong University operation optimization Palestinian territories paper parameters passenger planning Poisson regression problem public transport railway real-time road network route choice RTUT shows signal Simputer simulation model speed statistics strategy survey Table toll traffic accidents traffic condition traffic control traffic flow traffic safety traffic simulation trains transit Transportation Research travel behavior travel time reliability urban users variables vehicle VISSIM