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Smart Transportation Market - By Solutions (Ticketing Management, Parking Management, Passenger Information, Traffic Management), Services (Traditional, Advanced, Software) Worldwide Analysis And Forecasts (2012 - 2018)

NEW YORK, Dec. 18, 2012 /PRNewswire/ -- Reportlinker.com announces that a new market research report is available in its catalogue:

Smart Transportation Market - By Solutions (Ticketing Management, Parking Management, Passenger Information, Traffic Management), Services (Traditional, Advanced, Software) Worldwide Analysis And Forecasts (2012 – 2018)
http://www.reportlinker.com/p01056411/Smart-Transportation-Market---By-Solutions-Ticketing-Management-Parking-Management-Passenger-Information-Traffic-Management-Services-Traditional-Advanced-Software-Worldwide-Analysis-And-Forecasts-2012-–-2018.html#utm_source=prnewswire&utm_medium=pr&utm_campaign=Heavy_Truck_and_Bus

The report on smart transportation report consists of the opportunity analysis of technology adoption across all solution and services market. The report focuses on estimating and forecasting the market potential of the major sub-segments of transportation, which are ticketing management, parking management & guidance, passenger information, integrated supervision, and traffic management. The report also covers the market potential for the services industry catering to smart transportation. These services include traditional services, advanced services, and software services, covering new technologies such as business analytics and cloud computing. The report also focuses on technologies & standards and analyzes market drivers, restraints, trends and opportunities, along with a study on key players, and the competitive outlook.

The smart transportation market is also segmented based on regions such as North America, Latin America, Western Europe, Commonwealth of Independent States (CIS) + Eastern Europe, Asia-Pacific (APAC), and Middle East and Africa (MEA). The market forecasts are provided for each region from 2012 to 2018. The Smart transportation market report profiles leading companies such as Accenture, Affiliated Computer Services Inc, Alstom SA, Cisco Systems Inc, Cubic, ESRI, GE Transportation, IBM, Indra, Ineo, Kapsch, LG CNS, Schneider Electric, Siemens, and Thales.

The market of Smart Transportation market in 2012 is estimated to be $26.70 billion. This market is expected to reach $102.31 billion by 2018, at a CAGR of 23.6% between 2013 and 2018. Latin America, Middle East & Africa, and CIS + Eastern Europe are the growing markets of 45.8%, 39.1%, and 31.4% respectively from 2013 to 2018.

Scope of the Report

This research report categorizes the global smart transportation market on the basis of solutions such as ticketing management systems, parking management & guidance systems, passenger information systems, integrated supervision systems, and traffic management Systems. The report also covers main services, geographies and associated markets to them.

Markets covered

The smart transportation market is expected to have exponential demand in the upcoming future. This demand is opening a segmented market for smart transportation.

On the basis of Solutions

The market by solutions is classified into ticketing management systems, parking management & guidance systems, passenger information systems, integrated supervision systems, & traffic management systems.

On the basis of Services

The market by services is classified Traditional Services, Advanced Services, and Software Services.

On the basis of Geography

The report segments the market geographically into North America, Latin America, Western Europe, CIS + Eastern Europe, APAC, and MEA
This report provides market tables covering all sub-segments and micro-markets. In addition, the report provides 15 company profiles representing various sub-segments.

TABLE OF CONTENTS

1 INTRODUCTION 18
1.1 KEY TAKE-AWAYS 18
1.2 REPORT DESCRIPTION 18
1.3 MARKETS COVERED 19
1.4 STAKEHOLDERS 20
1.5 RESEARCH METHODOLOGY 20
1.5.1 MARKET SIZE 20
1.5.2 KEY DATA POINTS FROM SECONDARY SOURCES 20
1.5.3 KEY DATA POINTS FROM PRIMARY SOURCES 21
1.5.4 ASSUMPTIONS MADE FOR THIS REPORT 21
2 EXECUTIVE SUMMARY 22
3 MARKET OVERVIEW 24
3.1 MARKET DEFINITION: WHAT IS SMART TRANSPORTATION? 25
3.2 SMART VS NON SMART TRANSPORTATION 25
3.3 OVERVIEW OF SMART TRANSPORTATION INDUSTRY 26
3.4 MARKET SEGMENTATION 27
3.4.1 BY SOLUTIONS 27
3.4.1.1 By Ticketing Management Systems 28
3.4.1.2 By Parking Management & Guidance systems 29
3.4.1.3 By Passenger Information Systems 29
3.4.1.4 By Integrated Supervision Systems 30
3.4.1.5 By Traffic Management Systems 30
3.4.2 BY SERVICES 31
3.4.3 BY GEOGRAPHIES 31
3.5 OVERALL MARKET SIZE 32
3.6 TECHNICAL CHALLENGE 34
3.6.1 TECHNOLOGY SELECTION 34
3.6.2 DATA DEPENDENCY & INTEGRATION 34
3.6.3 INTEROPERABILITY WITHIN LEGACY SYSTEM AND MODERN TRANSPORTATION 35
3.7 ARCHITECTURE: SMART TRANSPORTATION 36
3.8 MARKET DYNAMICS 37
3.8.1 DRIVERS 37
3.8.1.1 Time savings 37
3.8.1.2 Government initiatives 37
3.8.1.3 Better safety & security 37
3.8.1.4 Crowded cities need better transportation 38
3.8.2 RESTRAINTS 38
3.8.2.1 Funding & capital expenditure 38
3.8.2.2 Investments in legacy systems 38
3.8.2.3 Downtime from modernization 39
3.8.2.4 Socio-economic & political factors 39
3.8.3 OPPORTUNITIES 39
3.8.3.1 Project opportunities across geography 39
3.8.3.2 Increasing Investments in Smart Cities 39
4 SMART TRANSPORTATION: ONGOING PROJECTS 41
4.1 AMSTERDAM SMART CITY 41
4.1.1 OVERVIEW 41
4.1.2 KEY CHALLENGE 41
4.1.3 FOCUS AREAS 42
4.1.4 FUNDING MODEL 42
4.2 MASDAR CITY 44
4.3 PLANIT VALLEY 45
4.4 GUANGZHOU INNOVATION CITY 46
4.4.1 OVERVIEW 46
4.4.2 FOCUS AREA 46
4.5 SONGDO IBD 48
4.6 OTHER PROJECTS 49
4.7 PROJECTS COMPARISON MATRIX 50
5 SMART TRANSPORTATION: MARKET SIZE, ANALYSIS & FORECAST BY SOLUTION TYPES 52
5.1 OVERVIEW 52
5.2 TICKETING MANAGEMENT SYSTEM 54
5.2.1 BY TECHNOLOGY 55
5.2.1.1 Open payment system 55
5.2.1.2 Near Field Communication (NFC) 56
5.2.1.3 Smart card 57
5.2.1.3.1 Chip based RFID 59
5.2.1.3.2 Chip less RFID 59
5.2.1.3.3 Others 59
5.2.2 BY GEOGRAPHY 60
5.3 PARKING MANAGEMENT & GUIDANCE SYSTEM 61
5.3.1 PARKING MANAGEMENT SYSTEM 62
5.3.1.1 By Technology 63
5.3.1.1.1 Access control 63
5.3.1.1.2 Security 63
5.3.1.1.3 Ticketing & revenue management 63
5.3.1.2 By Geography 64
5.3.2 PARKING GUIDANCE SYSTEM 65
5.3.2.1 By Technology 65
5.3.2.1.1 Level wise vehicle counting 65
5.3.2.1.2 Guidance display system 66
5.3.2.2 By Geography 67
5.4 PASSENGER INFORMATION SYSTEM 68
5.4.1 BY TECHNOLOGY 69
5.4.1.1 In station & onboard system 69
5.4.1.2 GIS/GPS enabled systems 69
5.4.1.3 Collaborative PIS: V2V system 69
5.4.1.4 Multi-modal information system 69
5.4.2 BY GEOGRAPHY 70

5.5 INTEGRATED SUPERVISION SYSTEM 71
5.5.1 BY TECHNOLOGY 71
5.5.1.1 SILO system 71
5.5.1.2 Supervisory Control & Data Acquisition (SCADA) System 72
5.5.2 BY GEOGRAPHY 72
5.6 TRAFFIC MANAGEMENT SYSTEM 73
5.6.1 BY TECHNOLOGY 74
5.6.1.1 Traditional Signaling & Video Surveillance System 74
5.6.1.2 Route guidance system 74
5.6.1.3 Smart signaling system 74
5.6.1.4 Intelligent video management system 75
5.6.1.5 Others 75
5.6.2 BY GEOGRAPHY 75
6 SMART TRANSPORTATION: MARKET SIZE, ANALYSIS & FORECAST, BY SERVICE TYPES 77
6.1 THE RISING ROLE OF SERVICES 77
6.2 TRADITIONAL SERVICES 79
6.3 ADVANCED SERVICES 80
6.4 SOFTWARE SERVICES 81
7 SMART TRANSPORTATION: INDUSTRY & TECHNOLOGY ROADMAP 82
7.1 OVERVIEW 82
8 SMART TRANSPORTATION: MARKET SIZE, ANALYSIS & FORECAST, BY GEOGRAPHIES 84
8.1 OVERVIEW 85
8.2 NORTH AMERICA 86
8.3 WESTERN EUROPE 94
8.4 CIS + EASTERN EUROPE 102
8.5 APAC 110
8.6 LATIN AMERICA 118
8.7 MEA 125
9 COMPETITIVE LANDSCAPE 132
9.1 MERGERS & ACQUISITION 132
9.2 NEW PRODUCT DEVELOPMENT & RESEARCH 139
9.3 AGREEMENTS & COLLABORATIONS 146
10 COMPANY PROFILES 153
(Overview, Financial Review, Strategy Focus & Future Approach)*
10.1 ACCENTURE PLC 153
10.2 AFFILIATED COMPUTER SERVICES INC. 156
10.3 ALSTOM SA 158
10.4 CISCO SYSTEMS INC 160
10.5 CUBIC CORPORATION 163
10.6 GE TRANSPORTATION 165
10.7 IBM 167
10.8 INDRA 170
10.9 INEO 172
10.10 KAPSCH 174
10.11 LG CNS 177
10.12 SIEMENS 179
10.13 THALES 182
10.14 SCHNEIDER ELECTRIC 185
10.15 ESRI 191
*Details on overview, Financial Review, Strategy Focus & Future Approach might not be captured in case of unlisted companies.

LIST OF TABLES

UU
TABLE 1 GLOBAL SMART TRANSPORTATION MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($BILLION) 23
TABLE 2 GLOBAL SMART TRANSPORTATION MARKET REVENUE, BY TYPES,
2013 – 2018 ($BILLION) 33
TABLE 3 SMART TRANSPORTATION MARKET REVENUE, BY SOLUTIONS,
2013 – 2018 ($BILLION) 52
TABLE 4 TICKETING MANAGEMENT SYSTEM MARKET REVENUE, BY TYPES,
2013 – 2018 ($BILLION) 54
TABLE 5 SMART CARD MARKET REVENUE, BY TYPES, 2013 – 2018 ($BILLION) 58
TABLE 6 TICKETING MANAGEMENT SYSTEMS MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($BILLION) 60
TABLE 7 PARKING MANAGEMENT & GUIDANCE SYSTEM MARKET REVENUE,
BY TYPES, 2013 – 2018 ($BILLION) 61
TABLE 8 PARKING MANAGEMENT SYSTEM, BY TYPES, 2013 – 2018 ($BILLION) 62
TABLE 9 PARKING MANAGEMENT SYSTEM MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($BILLION) 64
TABLE 10 PARKING GUIDANCE SYSTEM, BY TYPES, 2013 – 2018 ($BILLION) 65
TABLE 11 PARKING GUIDANCE SYSTEM MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($BILLION) 67
TABLE 12 PASSENGER INFORMATION SYSTEMS MARKET REVENUE, BY TYPES, 2013 – 2018 ($BILLION) 68
TABLE 13 PASSENGER INFORMATION SYSTEMS MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($BILLION) 70
TABLE 14 INTEGRATED SUPERVISION SYSTEM MARKET REVENUE, BY TYPES, 2013 – 2018 ($BILLION) 71
TABLE 15 INTEGRATED SUPERVISION SYSTEM MARKET REVENUE,
BY GEOGRAPHY, 2013 – 2018 ($BILLION) 72
TABLE 16 TRAFFIC MANAGEMENT SYSTEMS MARKET REVENUE, BY TYPES,
2013 – 2018 ($BILLION) 73
TABLE 17 TRAFFIC MANAGEMENT SYSTEMS MARKET REVENUE, BY GEOGRAPHY, 2013 – 2018 ($BILLION) 76
TABLE 18 SERVICES MARKET REVENUE, BY TYPES, 2013 – 2018 ($BILLION) 77
TABLE 19 TRADITIONAL SERVICES MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($BILLION) 79
TABLE 20 ADVANCED SERVICES MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($BILLION) 80
TABLE 21 SOFTWARE SERVICES MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018 ($BILLION) 81
TABLE 22 NORTH AMERICA MARKET REVENUE, BY SOLUTION TYPES,
2013 – 2018 ($BILLION) 86
TABLE 23 NORTH AMERICA MARKET REVENUE, BY SERVICE TYPES,
2013 – 2018 ($BILLION) 87
TABLE 24 NORTH AMERICA MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 87
TABLE 25 NORTH AMERICA MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 88
TABLE 26 NORTH AMERICA MARKET REVENUE, BY PASSENGER INFORMATION SYSTEM TYPES, 2013 – 2018 ($BILLION) 89
TABLE 27 NORTH AMERICA MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 90
TABLE 28 NORTH AMERICA MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 91
TABLE 29 NORTH AMERICA MARKET REVENUE, BY SMART CARD TYPES,
2013 – 2018 ($BILLION) 92
TABLE 30 NORTH AMERICA MARKET REVENUE, BY PARKING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 92
TABLE 31 NORTH AMERICA MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 93
TABLE 32 WESTERN EUROPE MARKET REVENUE, BY SOLUTION TYPES,
2013 – 2018 ($BILLION) 94
TABLE 33 WESTERN EUROPE MARKET REVENUE, BY SERVICE TYPES,
2013 – 2018 ($BILLION) 95
TABLE 34 WESTERN EUROPE MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 95
TABLE 35 WESTERN EUROPE MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 96
TABLE 36 WESTERN EUROPE MARKET REVENUE, BY PASSENGER INFORMATION TYPES, 2013 – 2018 ($BILLION) 97
TABLE 37 WESTERN EUROPE MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 98
TABLE 38 WESTERN EUROPE MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 99
TABLE 39 WESTERN EUROPE MARKET REVENUE, BY SMART CARD TYPES,
2013 – 2018 ($BILLION) 100
TABLE 40 WESTERN EUROPE MARKET REVENUE, BY PARKING MANAGEMENT TYPES, 2013 – 2018 ($BILLION) 100
TABLE 41 WESTERN EUROPE MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 101
TABLE 42 CIS + EASTERN EUROPE MARKET REVENUE, BY SOLUTION TYPES,
2013 – 2018 ($BILLION) 102
TABLE 43 CIS + EASTERN EUROPE MARKET REVENUE, BY SERVICE TYPES,
2013 – 2018 ($BILLION) 103
TABLE 44 CIS + EASTERN EUROPE MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 103
TABLE 45 CIS + EASTERN EUROPE MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 104
TABLE 46 CIS + EASTERN EUROPE MARKET REVENUE, BY PASSENGER INFORMATION TYPES, 2013 – 2018 ($BILLION) 105
TABLE 47 CIS + EASTERN EUROPE MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 106
TABLE 48 CIS + EASTERN EUROPE MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 107
TABLE 49 CIS + EASTERN EUROPE MARKET REVENUE, BY SMART CARD TYPES, 2013 – 2018 ($BILLION) 108
TABLE 50 CIS + EASTERN EUROPE MARKET REVENUE, BY PARKING MANAGEMENT TYPES, 2013 – 2018 ($BILLION) 108
TABLE 51 CIS + EASTERN EUROPE MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 109
TABLE 52 APAC MARKET REVENUE, BY SOLUTION TYPES, 2013 – 2018 ($BILLION) 110
TABLE 53 APAC MARKET REVENUE, BY SERVICE TYPES, 2013 – 2018 ($BILLION) 111
TABLE 54 APAC MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 111
TABLE 55 APAC MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 112
TABLE 56 APAC MARKET REVENUE, BY PASSENGER INFORMATION TYPES,
2013 – 2018 ($BILLION) 113
TABLE 57 APAC MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 114
TABLE 58 APAC MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 115
TABLE 59 APAC MARKET REVENUE, BY SMART CARD TYPES,
2013 – 2018 ($BILLION) 116
TABLE 60 APAC MARKET REVENUE, BY PARKING MANAGEMENT TYPES,
2013 – 2018 ($BILLION) 116
TABLE 61 APAC MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES,
2013 – 2018 ($BILLION) 117
TABLE 62 LATIN AMERICA MARKET REVENUE, BY SOLUTION TYPES,
2013 – 2018 ($BILLION) 118
TABLE 63 LATIN AMERICA MARKET REVENUE, BY SERVICE TYPES,
2013 – 2018 ($BILLION) 119
TABLE 64 LATIN AMERICA MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 119
TABLE 65 LATIN AMERICA MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 120
TABLE 66 LATIN AMERICA MARKET REVENUE, BY PASSENGER INFORMATION TYPES, 2013 – 2018 ($BILLION) 121
TABLE 67 LATIN AMERICA MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 121
TABLE 68 LATIN AMERICA MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 122
TABLE 69 LATIN AMERICA MARKET REVENUE, BY SMART CARD TYPES,
2013 – 2018 ($BILLION) 123
TABLE 70 LATIN AMERICA MARKET REVENUE, BY PARKING MANAGEMENT TYPES, 2013 – 2018 ($BILLION) 123
TABLE 71 LATIN AMERICA MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 124
TABLE 72 MEA MARKET REVENUE, BY SOLUTION TYPES, 2013 – 2018 ($BILLION) 125
TABLE 73 MEA MARKET REVENUE, BY SERVICE TYPES, 2013 – 2018 ($BILLION) 126
TABLE 74 MEA MARKET REVENUE, BY TICKETING MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 126
TABLE 75 MEA MARKET REVENUE, BY PARKING MANAGEMENT & GUIDANCE SYSTEM TYPES, 2013 – 2018 ($BILLION) 127
TABLE 76 MEA MARKET REVENUE, BY PASSENGER INFORMATION TYPES,
2013 – 2018 ($BILLION) 128
TABLE 77 MEA MARKET REVENUE, BY INTEGRATED SUPERVISION SYSTEM TYPES, 2013 – 2018 ($BILLION) 128
TABLE 78 MEA MARKET REVENUE, BY TRAFFIC MANAGEMENT SYSTEM TYPES, 2013 – 2018 ($BILLION) 129
TABLE 79 MEA MARKET REVENUE, BY SMART CARD TYPES,
2013 – 2018 ($BILLION) 130
TABLE 80 MEA MARKET REVENUE, BY PARKING MANAGEMENT TYPES,
2013 – 2018 ($BILLION) 130
TABLE 81 MEA MARKET REVENUE, BY PARKING GUIDANCE SYSTEM TYPES,
2013 – 2018 ($BILLION) 131
TABLE 82 MERGERS & ACQUISITION (2011 – 2012) 132
TABLE 83 NEW PRODUCT DEVELOPMENT & RESEARCH (2011 – 2012) 139
TABLE 84 AGREEMENTS & COLLABORATIONS (2011 – 2012) 146
TABLE 85 ACCENTURE: REVENUE, 2011 – 2012 ($MILLION) 154
TABLE 86 ALSTOM: REVENUE, 2011 – 2012 ($MILLION) 158
TABLE 87 CISCO SYSTEMS: REVENUE, 2011– 2012 ($MILLION) 161
TABLE 88 CUBIC: REVENUE, 2010 – 2011 ($MILLION) 163
TABLE 89 GE TRANSPORTAION: REVENUE, 2010 – 2011 ($MILLION) 166
TABLE 90 IBM: REVENUE, 2010-2011 ($MILLION) 168
TABLE 91 INDRA: REVENUE, 2010-2011 ($MILLION) 170
TABLE 92 INEO: REVENUE, 2010-2011 ($MILLION) 172
TABLE 93 KAPSCH: REVENUE, 2011 – 2012 ($MILLION) 174
TABLE 94 LG CNS: REVENUE, 2010 – 2011 ($MILLION) 177
TABLE 95 SIEMENS: REVENUE, 2011 – 2012 ($MILLION) 180
TABLE 96 THALES: REVENUE, 2010 – 2011 ($MILLION) 183
TABLE 97 SCHNEIDER: REVENUE, 2010 – 2011 ($MILLION) 188

LIST OF FIGURES

FIGURE 1 STRUCTURE OF CONTEXT COMPONENTS 27
FIGURE 2 SMART TRANSPORTATION MARKET, BY SOLUTIONS 28
FIGURE 3 TICKETING MANAGEMENT SYSTEMS, BY TYPES 28
FIGURE 4 PARKING MANAGEMENT & GUIDANCE SYSTEMS, BY TYPES 29
FIGURE 5 PASSENGER INFORMATION SYSTEMS, BY TYPES 29
FIGURE 6 INTEGRATED SUPERVISION SYSTEMS, BY TYPES 30
FIGURE 7 TRAFFIC MANAGEMENT SYSTEMS, BY TYPES 30
FIGURE 8 SMART TRANSPORTATION MARKET, BY SERVICES 31
FIGURE 9 SMART TRANSPORTATION MARKET, BY GEOGRAPHIES 32
FIGURE 10 SMART TRANSPORTATION MARKET REVENUE, BY TYPES,
2013 – 2018, Y-O-Y (%) 33
FIGURE 11 ARCHITECTURE OF SMART TRANSPORTATION 36
FIGURE 12 AMSTERDAM SMART CITY KEY CHALLENGE 42
FIGURE 13 AMSTERDAM SMART CITY FUNDING MODEL 43
FIGURE 14 MASDAR CITY PROJECT PARTNERSHIP MODEL 44
FIGURE 15 PLANIT VALLEY PROJECT PARTNERSHIP NETWORK 45
FIGURE 16 PARTNERSHIP MODEL FOR SINO-SINGAPORE GUANGZHOU KNOWLEDGE CITY 47
FIGURE 17 SONGDO IBD PROJECT PARTNERSHIP NETWORK 48
FIGURE 18 SMART TRANSPORTATION MARKET REVENUE, BY SOLUTION TYPES, 2013 – 2018, Y-O-Y (%) 53
FIGURE 19 COMPARISON OF COVERAGE AREA FOR DIFFERENT WIRELESS COMMUNICATION TECHNOLOGIES 57
FIGURE 20 STRUCTURE OF LEVEL WISE VEHICLE PARKING 66
FIGURE 21 STRUCTURE OF GUIDANCE DISPLAY SYSTEM 66
FIGURE 22 SMART TRANSPORTATION MARKET REVENUE, BY SERVICE TYPES,
2013 – 2018, Y-O-Y (%) 78
FIGURE 23 INDUSTRY & TECHNOLOGY ROADMAP FOR SMART TRANSPORTATION 83
FIGURE 24 ROADMAP & DEPLOYMENT PRIORITIES OF SMART TRANSPORTATION - AUTOMOTIVE INDUSTRY 83
FIGURE 25 SMART TRANSPORTATION MARKET REVENUE, BY GEOGRAPHY,
2013 – 2018, Y-O-Y (%) 85

To order this report:
Heavy_Truck_and_Bus Industry: Smart Transportation Market - By Solutions (Ticketing Management, Parking Management, Passenger Information, Traffic Management), Services (Traditional, Advanced, Software) Worldwide Analysis And Forecasts (2012 – 2018)

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All major researchers estimate there will be tens of billions devices – computers, smartphones, tablets, and sensors – connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo in Silicon Valley. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!
P2P RTC will impact the landscape of communications, shifting from traditional telephony style communications models to OTT (Over-The-Top) cloud assisted & PaaS (Platform as a Service) communication services. The P2P shift will impact many areas of our lives, from mobile communication, human interactive web services, RTC and telephony infrastructure, user federation, security and privacy implications, business costs, and scalability. In his session at Internet of @ThingsExpo, Erik Lagerway, Co-founder of Hookflash, will walk through the shifting landscape of traditional telephone and voice services to the modern P2P RTC era of OTT cloud assisted services.
While great strides have been made relative to the video aspects of remote collaboration, audio technology has basically stagnated. Typically all audio is mixed to a single monaural stream and emanates from a single point, such as a speakerphone or a speaker associated with a video monitor. This leads to confusion and lack of understanding among participants especially regarding who is actually speaking. Spatial teleconferencing introduces the concept of acoustic spatial separation between conference participants in three dimensional space. This has been shown to significantly improve comprehension and conference efficiency.
The Internet of Things is tied together with a thin strand that is known as time. Coincidentally, at the core of nearly all data analytics is a timestamp. When working with time series data there are a few core principles that everyone should consider, especially across datasets where time is the common boundary. In his session at Internet of @ThingsExpo, Jim Scott, Director of Enterprise Strategy & Architecture at MapR Technologies, will discuss single-value, geo-spatial, and log time series data. By focusing on enterprise applications and the data center, he will use OpenTSDB as an example to explain some of these concepts including when to use different storage models.
SYS-CON Events announced today that Gridstore™, the leader in software-defined storage (SDS) purpose-built for Windows Servers and Hyper-V, will exhibit at SYS-CON's 15th International Cloud Expo®, which will take place on November 4–6, 2014, at the Santa Clara Convention Center in Santa Clara, CA. Gridstore™ is the leader in software-defined storage purpose built for virtualization that is designed to accelerate applications in virtualized environments. Using its patented Server-Side Virtual Controller™ Technology (SVCT) to eliminate the I/O blender effect and accelerate applications Gridstore delivers vmOptimized™ Storage that self-optimizes to each application or VM across both virtual and physical environments. Leveraging a grid architecture, Gridstore delivers the first end-to-end storage QoS to ensure the most important App or VM performance is never compromised. The storage grid, that uses Gridstore’s performance optimized nodes or capacity optimized nodes, starts with as few a...
The Transparent Cloud-computing Consortium (abbreviation: T-Cloud Consortium) will conduct research activities into changes in the computing model as a result of collaboration between "device" and "cloud" and the creation of new value and markets through organic data processing High speed and high quality networks, and dramatic improvements in computer processing capabilities, have greatly changed the nature of applications and made the storing and processing of data on the network commonplace. These technological reforms have not only changed computers and smartphones, but are also changing the data processing model for all information devices. In particular, in the area known as M2M (Machine-To-Machine), there are great expectations that information with a new type of value can be produced using a variety of devices and sensors saving/sharing data via the network and through large-scale cloud-type data processing. This consortium believes that attaching a huge number of devic...
Innodisk is a service-driven provider of industrial embedded flash and DRAM storage products and technologies, with a focus on the enterprise, industrial, aerospace, and defense industries. Innodisk is dedicated to serving their customers and business partners. Quality is vitally important when it comes to industrial embedded flash and DRAM storage products. That’s why Innodisk manufactures all of their products in their own purpose-built memory production facility. In fact, they designed and built their production center to maximize manufacturing efficiency and guarantee the highest quality of our products.
All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades. Over the summer Gartner released its much anticipated annual Hype Cycle report and the big news is that Internet of Things has now replaced Big Data as the most hyped technology. Indeed, we're hearing more and more about this fascinating new technological paradigm. Every other IT news item seems to be about IoT and its implications on the future of digital business.
Can call centers hang up the phones for good? Intuitive Solutions did. WebRTC enabled this contact center provider to eliminate antiquated telephony and desktop phone infrastructure with a pure web-based solution, allowing them to expand beyond brick-and-mortar confines to a home-based agent model. Download Slide Deck: ▸ Here
BSQUARE is a global leader of embedded software solutions. We enable smart connected systems at the device level and beyond that millions use every day and provide actionable data solutions for the growing Internet of Things (IoT) market. We empower our world-class customers with our products, services and solutions to achieve innovation and success. For more information, visit www.bsquare.com.
With the iCloud scandal seemingly in its past, Apple announced new iPhones, updates to iPad and MacBook as well as news on OSX Yosemite. Although consumers will have to wait to get their hands on some of that new stuff, what they can get is the latest release of iOS 8 that Apple made available for most in-market iPhones and iPads. Originally announced at WWDC (Apple’s annual developers conference) in June, iOS 8 seems to spearhead Apple’s newfound focus upon greater integration of their products into everyday tasks, cross-platform mobility and self-monitoring. Before you update your device, here is a look at some of the new features and things you may want to consider from a mobile security perspective.