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Transportation engineering or transport engineering is the application of technology and scientific principles to the planning, functional design, operation and management of facilities for any mode of transportation in order to provide for the safe, efficient, rapid, comfortable, convenient, economical, and environmentally compatible movement of people and goods transport.
An intelligent transportation system (ITS) is an advanced application that aims to provide innovative services relating to different modes of transport and traffic management and enable users to be better informed and make safer, more coordinated, and 'smarter' use of transport networks.
Travel behavior is the study of what people do over geography, and how people use transport.
5-1-1 is a transportation and traffic information telephone hotline in some regions of the United States and Canada. Travelers can dial 511, a three-digit telephone number, on landlines and most mobile phones. The number has also extended to be the default name of many state and provincial transportation department road conditions Web sites, such as Wisconsin's site. It is an example of an N11 code, part of the North American Numbering Plan.
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Transportation demand management or travel demand management (TDM) is the application of strategies and policies to increase the efficiency of transportation systems, that reduce travel demand, or to redistribute this demand in space or in time.
The Integrated Transport Information System (ITIS) is a traffic management system in Klang Valley, Malaysia. The system began operation on 2005 with the cooperation of Kuala Lumpur City Hall (DBKL), Malaysian Highway Authority, Malaysian Public Works Department (JKR) and the Ministry of Transport Malaysia. The system is used for traffic monitoring, accident, construction and other situations that happen on the roads and highways in Kuala Lumpur and Klang Valley. The main ITIS headquarters and traffic operation centre is located at Bukit Jalil Highway near Technology Park Malaysia in Bukit Jalil.
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Computational sustainability is an emerging field that attempts to balance societal, economic, and environmental resources for the future well-being of humanity using methods from mathematics, computer science, and information science fields. Sustainability in this context refers to the world's ability to sustain biological, social, and environmental systems in the long term. Using the power of computers to process large quantities of information, decision making algorithms allocate resources based on real-time information. Applications advanced by this field are widespread across various areas. For example, artificial intelligence and machine learning techniques are created to promote long-term biodiversity conservation and species protection. Smart grids implement renewable resources and storage capabilities to control the production and expenditure of energy. Intelligent transportation system technologies can analyze road conditions and relay information to drivers so they can make smarter, more environmentally-beneficial decisions based on real-time traffic information.
PTV Planung Transport Verkehr GmbH is a German company specializing in software and consulting services for traffic and transportation and mobility. Their transport planning software, Vision Traffic Suite comprise the PTV Group's product portfolio. According to the manufacturer; over 2,500 customers in more than 120 countries use the Vision Traffic Suite in the fields of transport modelling and traffic flow calculation. PTV ranks among the top 1,000 global market leaders in Germany according to Germany's Manager Magazine.
The UC Irvine Institute of Transportation Studies (ITS), is a University of California organized research unit with sister branches at UC Berkeley, UC Davis, and UCLA. ITS was established to foster research, education, and training in the field of transportation. UC Irvine ITS is located on the fourth floor of the Anteater Instruction and Research Building at University of California, Irvine's main Campus, and also houses the UC Irvine Transportation Science graduate studies program.
Smart cities seek to implement information and communication technologies (ICT) to improve the efficiency and sustainability of urban spaces while reducing costs and resource consumption. In the context of surveillance, smart cities monitor citizens through strategically placed sensors around the urban landscape, which collect data regarding many different factors of urban living. From these sensors, data is transmitted, aggregated, and analyzed by governments and other local authorities to extrapolate information about the challenges the city faces in sectors such as crime prevention, traffic management, energy use and waste reduction. This serves to facilitate better urban planning and allows governments to tailor their services to the local population.
Urban traffic modeling and analysis is part of the advanced traffic intelligent management technologies that has become a crucial sector of Traffic management and control. Its main purpose is to predict congestion states of a specific urban transport network and propose improvements in the traffic network. Researches rely on three different informations. Historical and recent information of a traffic network about its density and flow, a model of the transport network infrastructure and algorithms referring to both spatial and temporal dimensions. The final objective is to provide a better optimization of the traffic infrastructure such as traffic lights. Those optimizations should result into a decrease of the travel times, pollution and fuel consumption.
Michel Bierlaire is a Belgian-Swiss applied mathematician specialized in transportation modeling and optimization. He is a professor at EPFL and the head of the Transport and Mobility Laboratory.
Traffic lights – devices positioned at road intersections, pedestrian crossings and other locations – control flows of traffic with social norms and laws created by the state. Traffic signals have to convey messages to drivers in a short period of time about constantly-changing road rules.
References
- ↑ Fatemeh Baratian-Ghorghi; Huaguo Zhou (2015). "Investigating Women's and Men's Propensity to Use Traffic Information in a Developing Country". Transportation in Developing Economies. 1: 11–19. doi: 10.1007/s40890-015-0002-5 .
- ↑ "Advanced Traveller Information Systems(ATIS) | Intelligent Transportation System (ITS)". Intranse.in. 2010-10-27. Archived from the original on 2013-08-23. Retrieved 2013-04-22.
- ↑ Yim, Y. B. (February 1, 2001). "Revenue Models for Advance Traveler Information Systems". California PATH Research Report: 6. Retrieved May 2, 2015.
- ↑ Smartraveller Archived May 3, 2015, at the Wayback Machine - Retrieved 2015-05-02
- ↑ Scan team for 5-1-1- Retrieved 2015-05-03
- ↑ START Archived April 9, 2015, at the Wayback Machine - Retrieved 2015-05-02
- ↑ Intergra-Retrieved 2015-05-02
- ↑ Fatemeh Baratian-Ghorghi; Huaguo Zhou (2015). "Investigating Women's and Men's Propensity to Use Traffic Information in a Developing Country". Transportation in Developing Economies. 1: 11–19. doi: 10.1007/s40890-015-0002-5 .
- ↑ Skoglund, Tor (2014). Effects of long-term access to ICT-mediated travel information services - Users' assessments and reported behavioural changes (PDF). Gothenburg, Sweden: Department of Product and Production Development Division Design & Human Factors Chalmers University of Technology. ISBN 978-91-7597-066-0.