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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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Container frameworks, such as Docker, provide a variety of benefits, including density of deployment across infrastructure, convenience for application developers to push updates with low operational hand-holding, and a fairly well-defined deployment workflow that can be orchestrated. Container frameworks also enable a DevOps approach to application development by cleanly separating concerns between operations and development teams. But running multi-container, multi-server apps with containers is very hard. You have to learn five new and different technologies and best practices (libswarm, sy...
SYS-CON Events announced today that DragonGlass, an enterprise search platform, will exhibit at SYS-CON's 16th International Cloud Expo®, which will take place on June 9-11, 2015, at the Javits Center in New York City, NY. After eleven years of designing and building custom applications, OpenCrowd has launched DragonGlass, a cloud-based platform that enables the development of search-based applications. These are a new breed of applications that utilize a search index as their backbone for data retrieval. They can easily adapt to new data sets and provide access to both structured and unstruc...
There's Big Data, then there's really Big Data from the Internet of Things. IoT is evolving to include many data possibilities like new types of event, log and network data. The volumes are enormous, generating tens of billions of logs per day, which raise data challenges. Early IoT deployments are relying heavily on both the cloud and managed service providers to navigate these challenges. In her session at Big Data Expo®, Hannah Smalltree, Director at Treasure Data, discussed how IoT, Big Data and deployments are processing massive data volumes from wearables, utilities and other machines...
Buzzword alert: Microservices and IoT at a DevOps conference? What could possibly go wrong? In this Power Panel at DevOps Summit, moderated by Jason Bloomberg, the leading expert on architecting agility for the enterprise and president of Intellyx, panelists will peel away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem fil...
SYS-CON Events announced today that MetraTech, now part of Ericsson, has been named “Silver Sponsor” of SYS-CON's 16th International Cloud Expo®, which will take place on June 9–11, 2015, at the Javits Center in New York, NY. Ericsson is the driving force behind the Networked Society- a world leader in communications infrastructure, software and services. Some 40% of the world’s mobile traffic runs through networks Ericsson has supplied, serving more than 2.5 billion subscribers.
The worldwide cellular network will be the backbone of the future IoT, and the telecom industry is clamoring to get on board as more than just a data pipe. In his session at @ThingsExpo, Evan McGee, CTO of Ring Plus, Inc., discussed what service operators can offer that would benefit IoT entrepreneurs, inventors, and consumers. Evan McGee is the CTO of RingPlus, a leading innovative U.S. MVNO and wireless enabler. His focus is on combining web technologies with traditional telecom to create a new breed of unified communication that is easily accessible to the general consumer. With over a de...
Disruptive macro trends in technology are impacting and dramatically changing the "art of the possible" relative to supply chain management practices through the innovative use of IoT, cloud, machine learning and Big Data to enable connected ecosystems of engagement. Enterprise informatics can now move beyond point solutions that merely monitor the past and implement integrated enterprise fabrics that enable end-to-end supply chain visibility to improve customer service delivery and optimize supplier management. Learn about enterprise architecture strategies for designing connected systems tha...
Cloud is not a commodity. And no matter what you call it, computing doesn’t come out of the sky. It comes from physical hardware inside brick and mortar facilities connected by hundreds of miles of networking cable. And no two clouds are built the same way. SoftLayer gives you the highest performing cloud infrastructure available. One platform that takes data centers around the world that are full of the widest range of cloud computing options, and then integrates and automates everything. Join SoftLayer on June 9 at 16th Cloud Expo to learn about IBM Cloud's SoftLayer platform, explore se...
SYS-CON Media announced today that 9 out of 10 " most read" DevOps articles are published by @DevOpsSummit Blog. Launched in October 2014, @DevOpsSummit Blog offers top articles, news stories, and blog posts from the world's well-known experts and guarantees better exposure for its authors than any other publication. The widespread success of cloud computing is driving the DevOps revolution in enterprise IT. Now as never before, development teams must communicate and collaborate in a dynamic, 24/7/365 environment. There is no time to wait for long development cycles that produce softw...