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Institution

Ontario Ministry of Transportation

GovernmentToronto, Ontario, Canada
About: Ontario Ministry of Transportation is a government organization based out in Toronto, Ontario, Canada. It is known for research contribution in the topics: Poison control & Asphalt. The organization has 4652 authors who have published 3882 publications receiving 59011 citations.


Papers
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Journal ArticleDOI
TL;DR: Wang et al. as discussed by the authors examined the sandy reaches downstream of the China Three Gorges Project along the Yangtze River for river erosion and siltation, riverbed morphology, beach evolution, and other physical processes over the past 40 years.

17 citations

Journal ArticleDOI
TL;DR: In this paper, the chemical composition of bio-binders derived from three different representative biomass sources has been characterised and compared by elemental analysis, Fourier Transform Infrared, 1H NMR and Vap...
Abstract: Chemical composition of bio-binders derived from three different representative biomass sources has been characterised and compared by elemental analysis, Fourier Transform Infrared, 1H NMR and Vap...

17 citations

Journal ArticleDOI
TL;DR: In this paper, the authors investigated how the moisture affects the asphalt-aggregate bond and simulates moisture distribution of nano-scale in asphaltaggregate interface and found that the polarizability of moisture changes for different types of aggregate and hydraulic pressure values.

17 citations

Proceedings ArticleDOI
01 Oct 2017
TL;DR: This paper first analyzes the increase of traffic capacity regarding to the ratio of connected automated vehicles, then uses microscopic traffic model to verify the analysis conclusion.
Abstract: Connected automated vehicles are now moving towards reality. With the help of advanced artificial intelligence and vehicle-to-vehicle/ vehicle-to-infrastructure communication, connected automated vehicles can keep higher speed with shorter headway, and drive with neighboring vehicles to formulate platoons. The application of connected automated vehicles will change the relationship of traffic flow and vehicle density. In this paper, we first analyze the increase of traffic capacity regarding to the ratio of connected automated vehicles. Then, we use microscopic traffic model to verify our analysis conclusion.

17 citations

Journal ArticleDOI
TL;DR: Results indicated that the crack healing of asphalt and its mortar depended strongly on the type of healing agent, while asphalt mortar could be well healed with maltene-based emulsions, and in general, asphalt healed faster than its mortar.
Abstract: This study investigated the effect of seven healing agents on crack healing ability of long-term aged asphalt and its mortar. Different healing agents including sunflower oil, aromatic oil, bitumen emulsion, and maltene-based emulsions were used. The crack healing of asphalt made use of two asphalt disk samples and healing was evaluated using direct tensile tests. For asphalt mortar, notched semi-circular samples were used. Test results indicated that the crack healing of asphalt and its mortar depended strongly on the type of healing agent. In general, asphalt healed faster than its mortar. Asphalt healing could be well improved by using oil agents, while asphalt mortar could be well healed with maltene-based emulsions. The crack healing of asphalt mortar developed rapidly followed by a steady state of increase. Initial crack healing using healing agents could be contributed by the diffusion and softening effects, which resulted in low strength recovery. Long term healing could lead to the bonding reconstitution in the cracks, which were decisive for the final strength gain. The promising healing agent should be able to achieve maximum strength recovery to resist cracking as well as a sufficient re-healing ability to deal with crack opening and closing.

17 citations


Authors

Showing all 4652 results

NameH-indexPapersCitations
Li Li6657117171
Silvia Lacorte6424711695
Gerard Cornelissen6217513850
Chanan Singh5840814208
Pim de Voogt5817311358
Abraham Brouwer5720012108
Min-Shiang Hwang5333511627
Chi Zhang515239788
Maarten G. Kleinhans482466764
Bart van der Burg4710211055
Jan Bogerd461336263
Chris A Rogers4627010993
Freek Ariese422147536
John F. Kain4110418570
Jiuh-Biing Sheu401285521
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
202211
2021315
2020363
2019226
2018165
2017183