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Increasing volume of data generated across various transportation authorities and agencies, is the key factor driving the demand for global transportation predictive analytics and simulation market. Predictive analytics coupled with simulation techniques delivers an effective solution for design and operation of modern transportation systems. Simulation techniques enable the transportation operators to track the movements of individual vehicles and to capture the general relationships between flow, density, and speed of the traffic. Predictive analytics enables efficient transportation operations by transforming the captured data into meaning insights for future decision making. Predictive Analytics and Simulation techniques delivers various results to the transportation sector such as traffic optimization, predictive maintenance, network & capacity optimization, customer behaviour, revenue optimization and so on. Increasing population, rising operational challenges, and growing focus on developing advanced transportation infrastructure are the key factors driving the growth of global transportation predictive analytics and simulation market. Additionally, rising transport infrastructure investment, growing trend towards intelligent transportation systems (ITS), and increased preference for data driven business operations, is expected to accelerate the growth of transportation predictive analytics and simulation market globally. With the increasing interest on implementing internet of things (IoT) technology in transportation operations and global adoption to cloud based business solutions, the global market for transportation predictive analytics and simulation market is expected to witness a healthy growth rate during the forecast period. However, high initial cost and technical challenges related to integrating transportation predictive analytics and simulation software with the current systems, are the factors likely to deter the progression of market. Global transportation predictive analytics and simulation market can be segmented on the basis of component, simulation method, type of transport and end user. On the basis of component,   the market can be segmented into software and hardware. On the basis of simulation method, the market can be segmented into microscopic, macroscopic, and mesoscopic. On the basis of type of transport, the market can be segmented into roadways, railways, airways, and seaways. On the basis of end user, the market can be segmented into public and private. Regionally, global transportation predictive analytics and simulation market is segmented into North America, Latin America, Western Europe, Eastern Europe, Middle East & Africa (MEA), Asia Pacific excluding Japan (APEJ) and Japan. Currently, North America dominate the global market for transportation predictive analytics and simulation, mainly due to advanced infrastructure and continuous optimization of transportation operations.  Asia Pacific is identified as the fastest growing marked due to rapid urbanization and increasing investment on transportation infrastructure. The key players active in the global transportation predictive analytics and simulation market, include Cubic Corporation, IBM Corporation, Xerox Corporation, SAP, Space-Time Insight, Predikto Inc., Cyient-Insights, TSS-Transport Simulation Systems, Caliper Corporation, Tiger Analytics, and T-Systems.


Antoniou C.,National Technical University of Athens | Balakrishna R.,Caliper Corporation | Koutsopoulos H.N.,KTH Royal Institute of Technology
European Transport Research Review | Year: 2011

Purpose: The objective of this research is to provide an overview of emerging data collection technologies and their impact on traffic management applications. Methods: Several existing and emerging surveillance technologies are being used for traffic data collection. Each of these technologies has different technical characteristics and operating principles, which determine the types of data collected, accuracy of the measurements, levels of maturity, feasibility and cost, and network coverage. This paper reviews the different sources of traffic surveillance data currently employed, and the types of traffic management applications they may support. Results: Automated Vehicle Identification data have several applications in traffic management and many more are certain to emerge as these data become more widely available, reliable, and accessible. Representative examples in this field are presented. Furthermore, the fusion of condition information with traffic data can result in better and more responsive dynamic traffic management applications with a richer data background. Conclusions: The current state-of-the-art of traffic modeling is discussed, in the context of using emerging data sources for better planning, operations and dynamic management of road networks. © 2011 The Author(s).


Sundaram S.,Caliper Corporation | Koutsopoulos H.N.,KTH Royal Institute of Technology | Ben-Akiva M.,Massachusetts Institute of Technology | Antoniou C.,National Technical University of Athens | Balakrishna R.,Caliper Corporation
Simulation Modelling Practice and Theory | Year: 2011

Evaluation of Intelligent Transportation Systems (ITS) at the planning level requires the use of appropriate tools that can capture the dynamic and stochastic interactions between demand and supply. The objective of this paper is to present a methodological simulation-based framework for such applications and implement it in the context of dynamic traffic assignment. The framework consists of a mesoscopic supply simulator and a demand simulator that combines OD estimation capabilities with discrete travel behavior models. Simulation-based DTA systems are particularly suited to evaluate a wide range of Advanced Traffic Management Systems (ATMS) and Advanced Traveler Information Systems (ATIS). The simulation model performance is illustrated through two large-scale case studies in Irvine, California, and Lower Westchester County, NY. © 2010 Elsevier B.V. All rights reserved.


Antoniou C.,National Technical University of Athens | Balakrishna R.,Caliper Corporation | Koutsopoulos H.N.,KTH Royal Institute of Technology | Ben-Akiva M.,Massachusetts Institute of Technology
International Journal of Modelling and Simulation | Year: 2011

Dynamic Traffic Assignment (DTA) integrates complex transportation demand and network supply simulation models to estimate prevailing traffic conditions, predict future network performance and generate consistent, anticipatory route guidance. Prior to deployment, the DTA's parameters and inputs must be calibrated to accurately reflect travel behaviour and traffic dynamics. This paper presents a unified framework for off-line and on-line DTA calibration. Off-line calibration simultaneously estimates demand and supply model parameters. On-line calibration jointly updates - in real-time - the off-line estimates in order to more accurately capture current conditions. The developed methods are flexible and can be applied to any simulation model and may utilize any available traffic surveillance information (including Automated Vehicle Identification systems, probe vehicles and other emerging data sources). The off-line and on-line components complement each other to efficiently combine historical and real-time information. The calibration approaches are demonstrated with DynaMIT (Dynamic network assignment for the Management of Information to Travelers), using time-varying count, speed and density data from conventional traffic sensors.


Ben-Akiva M.E.,Massachusetts Institute of Technology | Gao S.,University of Massachusetts Amherst | Wei Z.,Caliper Corporation | Wen Y.,Google
Transportation Research Part C: Emerging Technologies | Year: 2012

The management of severe congestion in complex urban networks calls for dynamic traffic assignment (DTA) models that can replicate real traffic situations with long queues and spillbacks. DynaMIT-P, a mesoscopic traffic simulation system, was enhanced and calibrated to capture the traffic characteristics in a sub-area of Beijing, China. The network had 1698 nodes and 3180 directed links in an area of around 18 square miles. There were 2927 non-zero origin-destination (OD) pairs and around 630,000 vehicles were simulated over 4. h of the morning peak. All demand and supply parameters were calibrated simultaneously using sensor counts and floating car travel time data. Successful calibration was achieved with the Path-size Logit route choice model, which accounted for overlapping routes. Furthermore, explicit representations of lane groups were required to properly model traffic delays and queues. A modified treatment of acceptance capacity was required to model the large number of short links in the transportation network (close to the length of one vehicle). In addition, even though bicycles and pedestrians were not explicitly modeled, their impacts on auto traffic were captured by dynamic road segment capacities. © 2012 Elsevier Ltd.


LONDON--(BUSINESS WIRE)--Technavio’s latest research report on the global geographic information system (GIS) market in the transportation industry provides an analysis on the most important trends expected to impact the market outlook from 2016-2020. Technavio defines an emerging trend as a factor that has the potential to significantly impact the market and contribute to its growth or decline. Ishmeet Kaur, a lead analyst from Technavio, specializing in research on product lifecycle management sector says, “The GIS market will grow at a steady rate during the forecast period. The increased use of GIS for traffic management, airport construction, and asset maintenance in ports will lead to the market growth.” Technavio’s sample reports are free of charge and contain multiple sections of the report including the market size and forecast, drivers, challenges, trends, and more. The top three emerging market trends driving the global GIS market in the transportation industry according to Technavio ICT research analysts are: Many retailers use GIS technology to enhance their marketing campaigns over social networks. Vendors use GIS applications to get demographic details of target customers, which help retailers to promote their campaigns on social networks. Retailers post updates and offers through social networks based on the information collected from GIS software. With the increase in the number of smartphone users, this trend will result in significant growth during the forecast period. China and India are among the top consumers of smartphones in the world. The smartphone users are the GIS data generators, and companies such as Amazon and Google retain this data in large cloud infrastructure. The retained data is further processed, and the information is provided to the companies. Increasing demand for 3D GIS software and development of 4D GIS software The growing use of GIS for security applications is resulting in increased development of 3D GIS software. The 3D GIS software provides better visibility and performance than 2D GIS software. “Many end-users, especially the government and defense organizations, have started adopting 3D GIS software to improve the operational efficiency of their security applications,” says Ishmeet. Also, vendors are focusing on the development of 4D GIS software. 4D GIS data includes 2D data, 3D data, and data regarding time change. An integrated database with real-time monitoring is required to generate 4D data. Companies have started providing support for 4D data. For instance, 4DMapper is an Australia-based company that puts multi-source and multi-format geospatial data, including 3D and 4D GIS, on the cloud and streams it to browsers after rasterization and vectoring. The vendors in the GIS market in APAC provide customized GIS applications as per the industry requirements. For instance, the retail industry vendors opt for customized GIS solutions to suit their requirements. This helps them remain competitive in the market. In addition, vendors develop application-specific GIS solutions, which are in high demand among retailers as they are more cost-effective than general purpose GIS solutions. For instance, TransCAD, a GIS software developed by Caliper Corporation, is designed for managing, analyzing, and displaying transportation data. The software combines GIS with transportation modeling to form a single integrated platform. Do you need a report on a market in a specific geographical cluster or country but can’t find what you’re looking for? Don’t worry, Technavio also takes client requests. Please contact enquiry@technavio.com with your requirements and our analysts will be happy to create a customized report just for you. Technavio is a leading global technology research and advisory company. The company develops over 2000 pieces of research every year, covering more than 500 technologies across 80 countries. Technavio has about 300 analysts globally who specialize in customized consulting and business research assignments across the latest leading edge technologies. Technavio analysts employ primary as well as secondary research techniques to ascertain the size and vendor landscape in a range of markets. Analysts obtain information using a combination of bottom-up and top-down approaches, besides using in-house market modeling tools and proprietary databases. They corroborate this data with the data obtained from various market participants and stakeholders across the value chain, including vendors, service providers, distributors, re-sellers, and end-users. If you are interested in more information, please contact our media team at media@technavio.com.


Patent
Caliper Corporation | Date: 2011-01-19

A system for converting conventional GIS line data representing a traffic network to a geographically accurate lane-level representation, comprises storage for storing GIS data including intersection characteristics, lane configurations and connections, and traffic signal data. An interface for creating additional GIS data uses at least one of (a) polylines of shape points, and (b) geometric curves, to represent additional features including at least one of lane boundaries, lane centerlines and lane connections.


Patent
Caliper Corporation | Date: 2014-03-14

A lane-level vehicle routing and navigation apparatus includes a simulation module that performs microsimulation of individual vehicles in a traffic stream, and a lane-level optimizer that evaluates conditions along the candidate paths from an origin to a destination as determined by the simulation module, and determines recommended lane-level maneuvers along the candidate paths. A link-level optimizer may determines the candidate paths based on link travel times determined by the simulation module. The simulation may be based on real-time traffic condition data. Recommended candidate paths may be provided to delivery or service or emergency response vehicles, or used for evacuation planning, or to route vehicles such as garbage or postal trucks, or snowplows. Corresponding methods also may be used for traffic planning and management, including determining, based on microsimulation, at least one of (a) altered road geometry, (b) altered traffic signal settings, such as traffic signal timing, or (c) road pricing.


Patent
Caliper Corporation | Date: 2013-06-04

Systems and methods for, inter alia, geographically based analyses of traffic being carried over a wide scale traffic network. The systems integrate geographical information systems (GIS) with traffic simulation processes to allow a user to analyze traffic patterns and loads at specific geographic locations of regions. Additionally, these systems allow for traffic analysis over a wide scale traffic network that may encompass the traffic network that exists within an geographic region and can include, as examples, the traffic networks that span across a city, that interconnect cities, that interconnect states and that run across multiple states. To this end, the systems include traffic simulators that can adaptively or controllably select between multiple traffic simulation models for simulating traffic across different segments of the traffic network. The different models provide varying levels of granularity for measurements of geographical location of a vehicle traveling over the traffic network.


Patent
Caliper Corporation | Date: 2011-01-19

A geographic information system (GIS) comprises a geographic database comprising geographically accurate lane-level representations of at least one of road segments and connections, lanes, lane widths, lane configurations and connections, traffic controls and elevations. A visualization system which visualizes traffic conditions at geographically accurate lane-level detail, includes an animator process for processing the representations to generate a visual animation of traffic flow across the transportation environment. The lane-level network and individual vehicle objects may be thematically represented with respect to values of traffic data attributes.

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