Relevant bibliographies by topics / Intelligent transportation systems – Ontario – Toronto

Academic literature on the topic 'Intelligent transportation systems – Ontario – Toronto'

Author: Grafiati
Published: 10 December 2022
Last updated: 28 January 2023

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Journal articles on the topic "Intelligent transportation systems – Ontario – Toronto"

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Agrawal, Vikas, Jorge Baier, Kostas Bekris, Yiling Chen, Artur S. D'Avila Garcez, Pascal Hitzler, Patrik Haslum, et al. "Reports of the AAAI 2012 Conference Workshops." AI Magazine 33, no. 4 (December 21, 2012): 119. http://dx.doi.org/10.1609/aimag.v33i4.2444.

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The AAAI-12 Workshop program was held Sunday and Monday, July 22–23, 2012 at the Sheraton Centre Toronto Hotel in Toronto, Ontario, Canada. The AAAI-12 workshop program included 9 workshops covering a wide range of topics in artificial intelligence. The titles of the workshops were Activity Context Representation: Techniques and Languages, AI for Data Center Management and Cloud Computing, Cognitive Robotics, Grounding Language for Physical Systems, Human Computation, Intelligent Techniques for Web Personalization and Recommendation, Multiagent Pathfinding, Neural-Symbolic Learning and Reasoning, Problem Solving Using Classical Planners, Semantic Cities. This article presents short summaries of those events.
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Hadayeghi, Alireza, Amer S. Shalaby, and Bhagwant Persaud. "Macrolevel Accident Prediction Models for Evaluating Safety of Urban Transportation Systems." Transportation Research Record: Journal of the Transportation Research Board 1840, no. 1 (January 2003): 87–95. http://dx.doi.org/10.3141/1840-10.

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A series of macrolevel prediction models that would estimate the number of accidents in planning zones in the city of Toronto, Ontario, Canada, as a function of zonal characteristics were developed. A generalized linear modeling approach was used in which negative binomial regression models were developed separately for total accidents and for severe (fatal and nonfatal injury) accidents as a function of socio-economic and demographic, traffic demand, and network data variables. The variables that had significant effects on accident occurrence were the number of households, the number of major road kilometers, the number of vehicle kilometers traveled, intersection density, posted speed, and volume-capacity ratio. The geographic weighted regression approach was used to test spatial variations in the estimated parameters from zone to zone. Mixed results were obtained from that analysis.
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Hoque, Asad. "Professor Baher Abdulhai, PhD, FEIC, P.Eng.: Toronto Intelligent Transportation Systems Centre and Testbed [ITS People]." IEEE Intelligent Transportation Systems Magazine 10, no. 2 (2018): 200–202. http://dx.doi.org/10.1109/mits.2018.2811442.

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Casello, Jeffrey M., Adam Fraser, Alex Mereu, and Pedram Fard. "Enhancing Cycling Safety at Signalized Intersections: Analysis of Observed Behavior." Transportation Research Record: Journal of the Transportation Research Board 2662, no. 1 (January 2017): 59–66. http://dx.doi.org/10.3141/2662-07.

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Urban transportation systems tend to operate most effectively when common expectations exist about all user travel behavior under various conditions. A wide range of behavior among cyclists presents a significant challenge to the achievement of safer and improved designs at intersections. In this research, cyclists were observed (i.e., through the use of video at fixed-camera locations) as they made left turns at six intersections in Toronto, Ontario, Canada. The intersections were classified into five types on the basis of their physical designs and operational characteristics. Cyclist behavior was assessed to determine the propensity to traverse the intersection legally, designated as “rule compliance.” Further, the analysis determined the likelihood that a cyclist would traverse an intersection in a path that was consistent with the design; this outcome was defined as “facility compliance.” The results revealed that the presence of bike boxes, two-phase lefts, and turning lanes with advanced green phases positively influenced cyclists by increasing the likelihood that left turns would be legal and consistent with the behavior intended through the design. The results also suggested that the highest rates of rule and facility compliance existed under the condition in which cyclists approached an intersection during a green signal. On the basis of the observations in the research, design recommendations were made to accommodate cyclists better and produce more consistent behavior and presumably to enhance safety.
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Li, James, and Peter McAteer. "Urban Oil Spills as a Non-Point Pollution Source in the Golden Horseshoe of Southern Ontario." Water Quality Research Journal 35, no. 3 (August 1, 2000): 331–40. http://dx.doi.org/10.2166/wqrj.2000.023.

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Abstract Being the economic engine of Canada and the home of 5 million people, the environmental health of the Golden Horseshoe is very important. Among various pollution sources into the lake, urban oil spills as a non-point pollution source have not caught the attention of most residents. These spills can cause terrestrial impacts by poisoning animals and plants, groundwater contamination by infiltration, and surface water pollution by algal bloom and fish kills and destruction of freshwater invertebrates and vertebrates. In order to investigate the significance of this pollution source, 10 years of spill records in the Golden Horseshoe have been compiled. On the average, about 1050 L per day of oil escaped to the land, water and air environment in this region. About one-third of these spills eventually entered Lake Ontario. Among various types of spilled oil, gasoline, diesel fuel, aviation fuel and furnace oil accounted for the highest reported volume. The former Metropolitan Toronto led the frequency and volume of spills, while Hamilton-Wentworth followed closely. Spills frequently occur on roads, at service stations and at electrical transformers, while the highest spill event volumes occur at bulk plants/terminals/depots and at refineries. The predominant causes of spills are related to leaks from containers, pipes and hoses, and cooling systems. However, the principal reasons for oil spills are human error and equipment failure. The transportation, public and petroleum sectors are responsible for 60% of the reported spill cases, while the petroleum sector alone accounts for nearly 50% of the reported spill volume. Given the significant volume of spilled oil, it is important that all levels of government and private industries increase their effort to promote pollution prevention such as preventive maintenance, improved employee training and/or retraining, and proper vigilant supervision. Additionally, control devices such as oil-water interceptors should be sized properly and implemented at strategic location across the Golden Horseshoe.
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Books on the topic "Intelligent transportation systems – Ontario – Toronto"

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Vehicle, Navigation and Information Systems Conference (1st 1989 Toronto Ont ). Conference record of papers presented at the first Vehicle Navigation and Information Systems Conference (VNIS'89): Vehicle navigation & information systems : King Edward Hotel, Toronto Ontario, Canada, September 11-13, 1989. [New York, NY: IEEE, 1989.

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International Conference on Computer Support for Collaborative Learning (2d 1997 University of Toronto). Proceedings of CSCL '97: The Second International Conference on Computer Support for Collaborative Learning, December 10-14, 1997, University of Toronto, Toronto, Ontario, Canada. [Toronto: University of Toronto, 1997.

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Vehicle, Navigation and Information Systems Conference (1st 1989 Toronto Ont ). Vehicle navigation & information systems: Conference record of papers presented at the First Vehicle Navigation and Information Systems Conference (VNIS '89), King Edward Hotel, 37 King Street East, Toronto, Ontario, Canada, September 11-13, 1989. New York, NY: Institute of Electrical and Electronics Engineers, 1989.

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Conference papers on the topic "Intelligent transportation systems – Ontario – Toronto"

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Saleet, Hanan, and Otman Basir. "Location services management in intelligent transportation systems." In 2009 IEEE Toronto International Conference - Science and Technology for Humanity (TIC-STH 2009). IEEE, 2009. http://dx.doi.org/10.1109/tic-sth.2009.5444479.

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2

El-Tantawy, Samah, Kasra Rezaee, and Baher Abdulhai. "Closed Loop Optimal Adaptive Traffic Signal and Ramp Control: A Case Study on Downtown Toronto." In 2015 IEEE 18th International Conference on Intelligent Transportation Systems - (ITSC 2015). IEEE, 2015. http://dx.doi.org/10.1109/itsc.2015.387.

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