表紙:スマート交通管理:利用事例、地域別分析、市場予測 (2022年~2027年)
市場調査レポート
商品コード
1076190

スマート交通管理:利用事例、地域別分析、市場予測 (2022年~2027年)

Smart Traffic Management: Use Cases, Regional Analysis & Market Forecasts 2022-2027

出版日: | 発行: Juniper Research Ltd | ページ情報: 英文 | 納期: 即日から翌営業日

価格
価格表記: GBPを日本円(税抜)に換算
本日の銀行送金レート: 1GBP=167.25円
スマート交通管理:利用事例、地域別分析、市場予測 (2022年~2027年)
出版日: 2022年05月16日
発行: Juniper Research Ltd
ページ情報: 英文
納期: 即日から翌営業日
  • 全表示
  • 概要
  • 目次
概要

当レポートでは、世界のスマート交通管理の市場について分析し、システムの概略や普及状況、全体的な市場規模の動向見通し (今後5年間分)、部門別・地域別・業種別の詳細動向、市場の競争構造、今後の成長可能性と課題、主要企業のプロファイル (全15社) などを調査しております。

分析対象企業

  • Juniper Research Competitor Leaderboardの対象企業:Cleverciti、Commsignia、Cubic Corporation、Econolite、Efkon GmbH、Iteris、Kapsch TrafficCom、Miovision、Nedap、Q-Free、Rapid Flow、Sensys Networks、Smart Parking、Telegra、Verra Mobility
  • 言及された企業:5GAA、ADPS (Alliance for Parking Data Standards)、American Public Works Association、ASCN (Asean-Japan Smart City Network)、Audi、Australian Securities Exchange、AutoPAss、Autotalks、BAM infra Verkeerstechniek、Bosch、California State Association of Counties、CAM Testbed 、Cardiff Council、Carnegie Mellon University、CCSA、CEN、China Mobile、China Telecom、China Unicom、Cisco、City of Adelaide、City of Beverly Hills、City of Manhattan Beach、City of Pasadena、City of Pittsburgh、City of Vienna、City of Westminster、Commsignia、C-Roads Hungary、CT Group、CVEDIA、EnBW Venture、Ertico、Escrypt、Etisalat、ETSI、FAAC、Florida Department of Transportation、Ford、Google、GSMA、Harman、IEEE、IMT-2020、Incinity、IPSCD (Imagine Panaji Smart City Development Ltd)、ISO、ITE International、ITIF (Information Technology and Innovation Foundation)、ITS America、Kane County Department of Transportation、Karma Ventures、KFW、Korea Telecom、LG Electronics、Louisiana Highway、McCain、McRock Capital、Metric Engineering、MH Corbin、National Science Foundation、Natural Resources Canada、Nokia、NXP、OMNIAIR Consortium、Parsons、Peripass、Phaenon、Phoenix Pacific Inc、Qualcomm、Quectel、Rheinenergie、Samsung、San Bernardino County Transportation Authority、Savari、Siemens 、Southwest Traffic Committed to Excellence、SPDG Ventures、Spirent、ST&D Apeldoorn B.V.、Stinson、STRABAG、Streetline、Syngenta、TAPCO、Technolution、Telekom、Telus Ventures、The Westly Group、Traffop、Transport for London、TRL、Turkey's Transport and Infrastructure Minister、Tyco-CEM Systems、UK Prosperity Fund、Uplus、US Department of Transportation、Vegamot AS、Via Verde、Virinia Tech Transportation institute、Vodafone、Wejo、West Virginia Division of Highways、WMATA、Wyndham City、Zenzic

データ・インタラクティブ予測

Juniper Researchの予測セットには、以下の内容が含まれます。

  • 分析対象地域 (全8地域)・対象国 (全60ヶ国):今後5年間分の予測
    • アルジェリア
    • アルゼンチン
    • オーストラリア
    • オーストリア
    • バングラデシュ
    • ベルギー
    • ブラジル
    • カナダ
    • チリ
    • 中国
    • コロンビア
    • クロアチア
    • チェコ
    • デンマーク
    • エクアドル
    • エジプト
    • フィンランド
    • フランス
    • ドイツ
    • ギリシャ
    • 香港
    • ハンガリー
    • インド
    • インドネシア
    • アイルランド
    • イスラエル
    • イタリア
    • 日本
    • ケニア
    • クウェート
    • マレーシア
    • メキシコ
    • ネパール
    • オランダ
    • ニュージーランド
    • ナイジェリア
    • ノルウェー
    • パキスタン
    • ペルー
    • フィリピン
    • ポーランド
    • ポルトガル
    • カタール
    • ルーマニア
    • ロシア
    • サウジアラビア
    • シンガポール
    • 南アフリカ
    • 韓国
    • スペイン
    • スウェーデン
    • スイス
    • タイ
    • トルコ
    • 英国
    • ウクライナ
    • アラブ首長国連邦
    • ウルグアイ
    • 米国
    • ベトナム

目次

第1章 分析概要と戦略提言

第2章 市場情勢

  • イントロダクション
  • 定義と調査範囲
  • コネクティビティ
    • LPWAN
      • LoRa (長距離WAN)
      • LTE-M
      • NB-IoT
      • 免許不要ネットワーク
    • 5G
    • エッジコンピューティング
      • MEC
      • フォグコンピューティング
    • V2X
      • 利用事例
    • 人工知能 (AI) と機械学習 (ML)
  • 技術的な考慮事項
    • 実装
    • サイバーセキュリティ
    • プライバシーと同意
  • 主な促進要因

第3章 地域分析と将来の展望

  • イントロダクション:地域分析と将来望
    • 北米
      • 米国
      • カナダ
    • ラテンアメリカ
      • ブラジル
    • 西欧
      • オーストリア
      • ドイツ
      • 英国
    • 中・東欧
      • ポーランド
      • トルコ
    • インド・インド亜大陸
      • インド
    • 極東・中国
      • 韓国
    • 他のアジア太平洋諸国
      • 日本
    • アフリカと中東
      • 南アフリカ
    • スマート交通管理:今後の展開の見通し

第4章 競合企業のリーダーボードとベンダープロファイル

  • このレポートを読む理由
  • スマート交通管理:ベンダープロファイル
    • Cleverciti
      • 企業
      • 進出地域
      • 主要なクライアントとパートナーシップ
      • 主要製品/サービス
      • JuniperResearchの見解:主な強みと戦略展開の機会
    • Commsignia
    • Cubic Corporation
    • Econolite
    • Efkon GmbH
    • Iteris
    • Kapsch TrafficCom
    • Miovision
    • Nedap
    • Q-Free
    • Rapid Flow Technologies
    • Sensys Networks
    • Smart Parking
    • Telegra
    • Verra Mobility
  • Juniper Research Leaderboardの分析手法

第5章 市場予測

  • イントロダクション
  • 予測概要
  • スマート交差点市場
    • 予測手法
    • スマート交差点の件数
    • スマート交差点用ハードウェアの年間支出
    • スマート交差点用ソフトウェアの年間支出
  • スマート駐車
    • 予測手法
    • スマート駐車スペースの件数
    • スマート駐車用ハードウェアの年間支出
    • スマート駐車用ソフトウェアの年間支出
  • 混雑管理
    • 予測手法
    • 削減された混雑時間数
    • 混雑コストの削減
  • 排出削減
    • 予測手法
    • 車両排出量の削減
    • 排出コストの削減
目次

Juniper Research's “Smart Traffic Management” report provides a detailed evaluation of the market, including the adoption of smart traffic management systems within both developing markets and established markets.

In addition, this report covers market opportunities; providing strategic insights into the technologies and key drivers that are pushing the space forward, and the role of 15 leading vendors across the market.

The research suite also contains a detailed dataset; providing forecasts for 60 countries across a number of different metrics, including the number of smart intersections, number of smart parking spaces, emissions' cost saving and congestion cost savings.

This research suite comprises of:

  • Strategy & Forecasts (PDF)
  • 5-year Market Sizing & Forecast Spreadsheet (Excel)
  • 12 months access to harvest Online Data Platform

KEY FEATURES

  • Market Dynamics: A strategic analysis of the major drivers, challenges, and innovations shaping the adoption and development of smart traffic management technologies, including the following:
    • Technological innovations that are enhancing the value
    • Future strategic direction and market outlook
    • Key issues cities and transportation agencies must address before implementing systems
  • Regional Analysis: An analysis of the market status and factors driving or restricting growth, as well as providing detailed insight into the prospects for smart traffic management adoption across our 8 key regions, and 12 country-level markets. This covers the state of adoption, regulatory concerns and the future outlook for each market.
  • Juniper Research Competitor Leaderboard: Key player capability and capacity assessment for 15 vendors:
    • Cleverciti
    • Commsignia
    • Cubic Corporation
    • Econolite
    • Efkon GmbH
    • Iteris
    • Kapsch TrafficCom
    • Miovision
    • Nedap
    • Q-Free
    • Rapid Flow Technologies
    • Sensys Networks
    • Smart Parking
    • Telegra
    • Verra Mobility
  • Benchmark Industry Forecasts: including total number of smart intersections, total annual spend on smart intersection hardware and software, total number of smart parking spaces, total annual spend on smart parking hardware and software, total annual spend on smart traffic management hardware and software, total congestion cost savings, total emissions cost savings. This includes sizing for markets up to 2027; split by our 8 key regions and by the 60 countries listed below:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam

KEY QUESTIONS ANSWERED

  • 1. What are the biggest opportunities for smart traffic management vendors and suppliers?
  • 2. What are the major factors driving the adoption of smart traffic management systems by cities?
  • 3. What technologies are key to successfully deploying smart traffic management systems?
  • 4. Who are the key vendors and players in the space?
  • 5. What is the future outlook for the smart traffic management space?

COMPANIES REFERENCED

  • Included in the Juniper Research Competitor Leaderboard: Cleverciti, Commsignia, Cubic Corporation, Econolite, Efkon GmbH, Iteris, Kapsch TrafficCom, Miovision, Nedap, Q-Free, Rapid Flow, Sensys Networks, Smart Parking, Telegra, Verra Mobility.
  • Mentioned: 5GAA, ADPS (Alliance for Parking Data Standards), American Public Works Association, ASCN (Asean-Japan Smart City Network), Audi, Australian Securities Exchange, AutoPAss, Autotalks, BAM infra Verkeerstechniek, Bosch, California State Association of Counties, CAM Testbed , Cardiff Council, Carnegie Mellon University, CCSA, CEN, China Mobile, China Telecom, China Unicom, Cisco, City of Adelaide, City of Beverly Hills, City of Manhattan Beach, City of Pasadena, City of Pittsburgh, City of Vienna, City of Westminster, Commsignia, C-Roads Hungary, CT Group, CVEDIA, EnBW Venture, Ertico, Escrypt, Etisalat, ETSI, FAAC, Florida Department of Transportation, Ford, Google, GSMA, Harman, IEEE, IMT-2020, Incinity, IPSCD (Imagine Panaji Smart City Development Ltd), ISO, ITE International, ITIF (Information Technology and Innovation Foundation), ITS America, Kane County Department of Transportation, Karma Ventures, KFW, Korea Telecom, LG Electronics, Louisiana Highway, McCain, McRock Capital, Metric Engineering, MH Corbin, National Science Foundation, Natural Resources Canada, Nokia, NXP, OMNIAIR Consortium, Parsons, Peripass, Phaenon, Phoenix Pacific Inc, Qualcomm, Quectel, Rheinenergie, Samsung, San Bernardino County Transportation Authority, Savari, Siemens , Southwest Traffic Committed to Excellence, SPDG Ventures, Spirent, ST&D Apeldoorn B.V., Stinson, STRABAG, Streetline, Syngenta, TAPCO, Technolution, Telekom, Telus Ventures, The Westly Group, Traffop, Transport for London, TRL, Turkey's Transport and Infrastructure Minister, Tyco-CEM Systems, UK Prosperity Fund, Uplus, US Department of Transportation, Vegamot AS, Via Verde, Virinia Tech Transportation institute, Vodafone, Wejo, West Virginia Division of Highways, WMATA, Wyndham City, Zenzic.

DATA & INTERACTIVE FORECAST

Juniper Research's “Smart Traffic Management” forecast suite includes:

  • Forecast splits for 8 key regions, as well as 60 country-level data splits for:
    • Algeria
    • Argentina
    • Australia
    • Austria
    • Bangladesh
    • Belgium
    • Brazil
    • Canada
    • Chile
    • China
    • Colombia
    • Croatia
    • Czech Republic
    • Denmark
    • Ecuador
    • Egypt
    • Finland
    • France
    • Germany
    • Greece
    • Hong Kong
    • Hungary
    • India
    • Indonesia
    • Ireland
    • Israel
    • Italy
    • Japan
    • Kenya
    • Kuwait
    • Malaysia
    • Mexico
    • Nepal
    • Netherlands
    • New Zealand
    • Nigeria
    • Norway
    • Pakistan
    • Peru
    • Philippines
    • Poland
    • Portugal
    • Qatar
    • Romania
    • Russia
    • Saudi Arabia
    • Singapore
    • South Africa
    • South Korea
    • Spain
    • Sweden
    • Switzerland
    • Thailand
    • Turkey
    • UK
    • Ukraine
    • United Arab Emirates
    • Uruguay
    • US
    • Vietnam
  • Metrics including forecasts, including total number of smart intersections, total annual spend on smart intersection hardware and software, total number of smart parking spaces, total annual spend on smart parking hardware and software, total annual spend on hardware and software, total congestion cost savings, total emissions' cost savings.
  • Interactive Scenario tool allowing users to manipulate Juniper Research's data for four different metrics.
  • Access to the full set of forecast data of 61 tables and 27,800 datapoints.

Table of Contents

1. Key Takeaways and Strategic Recommendations

  • 1.1. Key Takeaways
  • 1.2. Strategic Recommendations

2. Market Landscape

  • 2.1. Introduction
  • 2.2. Definitions and Research Scope
  • 2.3. Connectivity
    • 2.3.1. LPWAN
      • i. LoRa (Long-range Wide-area Network)
        • Figure 2.1: Traffic Management System Using LoRa and Machine Learning Mechanisms
      • ii. LTE-M
      • iii. NB-IoT
      • iv. Unlicenced Networks
    • 2.3.2. 5G
    • 2.3.3. Edge Computing
      • i. MEC
      • ii. Fog Computing
    • 2.3.4. V2X
      • Figure 2.2: Infographic on Smart Traffic Management System Connections
      • i. Use Cases
    • 2.3.5. Artificial Intelligence and Machine Learning
  • 2.4. Technical Considerations
    • 2.4.1. Implementation
    • 2.4.2. Cybersecurity
    • 2.4.3. Privacy and Consent
  • 2.5. Key Drivers

3. Regional Analysis and Future Outlook

  • 3.1. Introduction: Regional Analysis & Future Outlook
    • 3.1.1. North America
      • i. US
      • ii. Canada
    • 3.1.2. Latin America
      • i. Brazil
    • 3.1.3. West Europe
      • i. Austria
      • ii. Germany
      • iii. UK
    • 3.1.4. Central and East Europe
      • i. Poland
      • ii. Turkey
    • 3.1.5. India and the Indian Subcontinent
      • i. India
    • 3.1.6. Far East and China
      • i. South Korea
      • Table 3.1: Regulations in Place Which Could Impact the Implementation of Smart Traffic Management Systems for South Korea
    • 3.1.7. Rest of Asia Pacific
      • i. Japan
    • 3.1.8. Africa & the Middle East
      • i. South Africa
    • 3.1.9. Future Outlook of Smart Traffic Management Deployments
      • Figure 3.2: Total Number of Smart Intersections (m), Split by 8 Key Regions, 2022-2027

4. Competitor Leaderboard and Vendor Profiles

  • 4.1. Why Read This Report
    • Table 4.1: Juniper Research Competitor Leaderboard: Smart Traffic Management Vendors Included & Product Portfolio
    • Figure 4.2: Juniper Research Leaderboard: Smart Traffic Management Vendors
    • Table 4.3: Juniper Research Leaderboard: Smart Traffic Management Vendors Positioning
    • Table 4.4: Juniper Research Leaderboard Heatmap: Smart Traffic Management
  • 4.2. Smart Traffic Management - Vendor Profiles
    • 4.2.1. Cleverciti
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.5: Cleverciti Cockpit, Integrated Smart Parking Management Platform
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.2. Commsignia
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.3. Cubic Corporation
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.4. Econolite
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.6: Econolite Product Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.5. Efkon GmbH
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.6. Iteris
      • i. Corporate
        • Table 4.7: Iteris' Financial Snapshot. FY 2019-2021 ($m) (FYE 31 March)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.7. Kapsch TrafficCom
      • i. Corporate
        • Table 4.8: Kapsch TrafficCom's Financial Snapshot, FY 2019-2021 ($m) (FYE 31st March)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.8. Miovision
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.9. Nedap
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.10. Q-Free
      • i. Corporate
        • Table 4.9: Q-Free's Financial Snapshot ($), FY 2018-2020
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.11. Rapid Flow Technologies
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.12. Sensys Networks
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.10: FlexMag Sensor in 'Flush' Configuration
        • Figure 4.11: A 'GiveMeGreen' Compatible Intersection in Santa Clarita, CA
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.13. Smart Parking
      • i. Corporate
        • Table 4.12: Smart Parking's Financial Snapshot ($m), FY 2019-2021 (FYE 23 August)
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.14. Telegra
      • i. Corporate
      • ii. Geographic Spread
      • iii. Key Clients and Partnerships
      • iv. High-level View of Offerings
        • Figure 4.13: TopXView Software for Traffic-related Applications
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
    • 4.2.15. Verra Mobility
      • i. Corporate
      • ii. Geographic spread
      • iii. Key clients and partnerships
      • iv. High-level View of Offerings
      • v. Juniper Research's View: Key Strengths & Strategic Development Opportunities
  • 4.3. Juniper Research Leaderboard Assessment Methodology
    • 4.3.1. Limitations & Interpretations
      • Table 4.14: Juniper Research Leaderboard and Scoring Criteria

5. Market Forecasts

  • 5.1. Introduction
  • 5.2. Forecast Summary
    • 5.2.1. Annual Spend of Smart Intersection Hardware & Software
      • Figure & Table 5.1: Total Annual Spend on Smart Intersection Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.2. Annual Spend of Smart Parking Hardware & Software
      • Figure & Table 5.2: Total Annual Spend on Smart Parking Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.3. Annual Spend of Smart Traffic Management Hardware & Software
      • Figure & Table 5.3: Total Annual Spend on Smart Traffic Management Hardware & Software ($m), Split by 8 Key Regions, 2022-2027
    • 5.2.4. Congestion & Emissions Cost Savings
      • Figure & Table 5.4: Total Annual Savings on Congestion & Emissions ($m), Split by 8 Key Regions, 2022-2027
  • 5.3. Smart Intersections Market
    • 5.3.1. Smart Intersections Forecast Methodology
      • Figure 5.5: Smart Intersections MethodoloIgy
    • 5.3.2. Number of Smart Intersections
      • Figure & Table 5.6: Total Number of Deployed Smart Intersections (m), Split by 8 Key Regions, 2022-2027
    • 5.3.3. Annual Spend on Smart Intersection Hardware
      • Figure & Table 5.7: Total Annual Spend on Smart Intersection Hardware ($m), Split by 8 Key Regions, 2022-2027
    • 5.3.4. Annual Spend on Smart Intersection Software
      • Figure & Table 5.8: Total Annual Spend on Smart Intersection Software ($m), Split by 8 Key Regions, 2022-2027
  • 5.4. Smart Parking
    • 5.4.1. Smart Parking Forecast Methodology
      • Figure 5.9: Smart Parking Methodology
    • 5.4.2. Number of Smart Parking Spaces
      • Figure & Table 5.10: Total Number of Smart Parking Spaces (m), Split by 8 Key Regions, 2022-2027
    • 5.4.3. Annual Spend on Smart Parking Hardware
      • Figure & Table 5.11: Total Annual Spend on Smart Parking Hardware ($m), Split by 8 Key Regions, 2022-2027
    • 5.4.4. Annual Spend on Smart Parking Software
      • Figure & Table 5.12: Total Annual Spend on Smart Parking Software ($m), Split by 8 Key Regions, 2022-2027
  • 5.5. Congestion Management
    • 5.5.1. Congestion Management Forecast Methodology
      • Figure 5.13: Congestion Management Forecast Methodology
    • 5.5.2. Number of Congestion Hours Saved
      • Figure & Table 5.14: Total Number of Congestion Hours Saved by Smart Traffic Management Systems (m), Split by 8 Key Regions, 2022-2027
    • 5.5.3. Congestion Cost Savings
      • Figure & Table 5.15: Total Congestion Cost Savings ($m), Split by 8 Key Regions, 2022-2027
  • 5.6. Emission Reduction
    • 5.6.1. Emission Reduction Forecast Methodology
      • Figure 5.16: Emission Reduction Forecast Methodology
    • 5.6.2. Vehicle Emissions Saved
      • Figure & Table 5.17: Total Amount of Vehicle Emissions Saved by Smart Traffic Management Systems (MMT), Split by 8 Key Regions, 2022-2027
    • 5.6.3. Emissions Cost Savings
      • Figure & Table 5.18: Total Emissions Cost Savings ($m), Split by 8 Key Regions, 2022-2027