Traffic and Transportation Studies, Volumes 1-2American Society of Civil Engineers, 2002 - Communication and traffic |
From inside the book
Results 1-3 of 81
Page 969
... estimated vehicle distance ( m ) as a function of actual distance and visibility . 12 10 Estimated distance ( m ) 2 6 ∞ 0 Fog , outline not visible Fog , outline Clear visible Figure 4. Mean and standard deviation of estimated vehicle ...
... estimated vehicle distance ( m ) as a function of actual distance and visibility . 12 10 Estimated distance ( m ) 2 6 ∞ 0 Fog , outline not visible Fog , outline Clear visible Figure 4. Mean and standard deviation of estimated vehicle ...
Page 1037
For the before and after left - turn crash models , estimated parameters of ADT , land use , number of lanes , presence of median , and shoulder treatment are significant at 20 % significance level . For rear - end crashes , estimated ...
For the before and after left - turn crash models , estimated parameters of ADT , land use , number of lanes , presence of median , and shoulder treatment are significant at 20 % significance level . For rear - end crashes , estimated ...
Page 1145
... estimated at 3.16 , with a standard deviation of 0.81 . It correlated very well with the composite score for speeding behavior , with a correlation coefficient of 0.40 and was statistically significant at a = 0.01 level . It also ...
... estimated at 3.16 , with a standard deviation of 0.81 . It correlated very well with the composite score for speeding behavior , with a correlation coefficient of 0.40 and was statistically significant at a = 0.01 level . It also ...
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 | |
76 other sections not shown
Other editions - View all
Common terms and phrases
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