Smart Road: Intelligent Roadside Perception Industry Report, 2020
  • Sept.2020
  • Hard Copy
  • USD $3,600
  • Pages:210
  • Single User License
    (PDF Unprintable)       
  • USD $3,400
  • Code: ZHP105
  • Enterprise-wide License
    (PDF Printable & Editable)       
  • USD $5,000
  • Hard Copy + Single User License
  • USD $3,800

Research on Roadside Perception: With Greater Policy Support, the RMB10 Billion Intelligent Roadside Perception Market Takes Off
In our Smart Road: Intelligent Roadside Perception Industry Report, 2020, we analyze policies, industry chain and technologies, market size, business model and suppliers in the intelligent roadside perception industry (including RSU, roadside sensor, MEC and cloud control platform).

With the advancement of cooperative vehicle infrastructure system, China and the industry have come to know that the priority should be given to coordinated development between infrastructure and vehicle more than just vehicle. A plurality of policies was issued for intelligent road construction in China in 2020 alone. Wherein, the Guiding Opinions on Promoting the Construction of New Infrastructures for Transportation released in August 2020 makes it clear that ubiquitous perception facilities should be pervasive enough in the transportation industry; the Guide for Layout of Internet of Vehicles (IoV) Roadside Facilities, an association standard concerning roadside facilities published in August 2020, specifies layout of IoV roadside facilities in the C-V2X-based IoV traffic circumstance, and further promotion of roadside and cloud equipment to be unified.

With policy support, China’s intelligent roadside perception market (including radar, camera, etc.) is proliferating fast and is expected to be worth RMB40 billion by 2025. In the market, LiDAR costs the most in deployment, with a single set even priced up to tens of thousands of yuan. Yet LiDAR performs much better in roadside scenarios, notably complex intersections, for it could recognize target attributes precisely and offer far more accurate, reliable data combining with cameras. LiDAR is still at the start of application in roadside end and has yet to be used massively. If deployed on a large scale, the price of LiDAR will take a nosedive.

Intelligent roadside facilities: enormous social benefits fascinate government to invest
Core sensors of an autonomous vehicle that offer limited detection range, is far from meeting the needs for non-line-of-sight perception of surroundings, e.g., ultra long distance, intersections and blind spots. Intelligent roadside perception is thus needed to broaden the detection range around a vehicle and make autonomous driving safer and more reliable.

In current stage, roadside perception devices are led by camera, LiDAR and radar. Players like VanJee Technology Co., Ltd., China TransInfo Technology Co., Ltd. and Changsha Intelligent Driving Institute Ltd. have made sound deployments in roadside perception system, with product lines covering three systems (perception, transmission and computing). During the layout, roadside perception devices can be directly mounted on traffic light poles, intelligent poles and other facilities.



For single perception devices have some limitations, Chinese vendors are vigorously developing multi-sensor fusion solutions which perceive richer road environment information more accurately around the clock. Examples include VanJee Technology Co., Ltd. who already begins to work on data fusion between roadside 3D LiDARs and cameras to cover the drawbacks of LiDAR for greater ability to perceive.


Through the lens of commercial use, pilot roadside infrastructures constructed for demonstration nationwide have generated a mass of data, which is a solution to some technological problems. For example, the First Section (radars and cameras deployed every 250 meters) of Shanghai-Hangzhou-Ningbo Intelligent Expressway has made its pilot run for half a year, bringing about 8% faster average speed, a 20% increase in traffic capacity, a 10% reduction in congestion time, 90% accuracy in travel time forecast, a 10% fall in driving accidents, and a 10% cut in rescue time. It follows that intelligent roadside equipment could produce so obvious social benefits that government is more willing to construct for commercial use on large scale.

Business model: Application in specific scenarios will go first
After exploration, it is found that application in scenarios is an efficient model to develop intelligent roadside perception equipment. In the long-cycle market, pilot application first in specific commercial scenarios remains more efficient. Demonstration products such as intelligent perception and integrated smart traffic poles on intelligent highways and at city crossroads have been introduced successively.

In July 2020, Ezhou Airport Expressway, Hubei’s first intelligent highway invested and constructed by Hubei Provincial Communications Investment Group Co., Ltd., started construction, with a video detector installed every 150 meters on both sides of the road.

In July 2020, China’s first 5G multifunctional demonstration highway pole (Pole No.: K72+455) was installed on the Shenzhen Section of Guangshen Expressway. Every pole can carry such intelligent hardware as 5G base station, intelligent light, video surveillance system, emergency broadcaster and meteorological monitor. 


IT giants race to enter
Evolvement of cooperative vehicle infrastructure system (CVIS) is decided by use of roadside equipment. Amid the rising penetration of intelligent roadside perception systems, the intelligent transportation network will be built up to further improve operational efficiency of cities and roads with technologies from edge computing to cloud control. Intelligent roadside perception system is a foundation for development of intelligent transportation.

Additionally, widespread layout of intelligent roadside equipment will drag down installation cost of vehicle V2X devices and push up their penetration. Only sound development of CVIS may make L4/L5 automated driving a reality.

IT tycoons like Huawei and BAT (Baidu, Alibaba and Tencent) who are bullish about the prospect of intelligent roadside equipment, scramble to march into the market.

Baidu focuses on research and development of roadside perception capabilities that meet needs of autonomous driving scenarios and fuse with V2X roadside perception information offered by the vehicle autonomous driving system. In the first half of 2020, Baidu has won the biddings for intelligent transportation projects in Nanjing, Hefei, Yangquan, Chongqing, to name a few.

Alibaba remains superior in infrastructure end, with Cainiao Alliance and ET City Brain. The giant will develop vehicle-infrastructure cooperation using technologies such as Alibaba Cloud Control Platform, AliOS and intelligent roadside facilities.

Tencent has a plan to expedite edge computing equipment installations and to build an open source platform for edge computing together with several partners.

Huawei makes concurrent efforts on vehicle and infrastructure ends, having rolled out products like roadside unit, EI-based Traffic Intelligent Twins, and OceanConnect intelligent transportation platform.

1 National Guiding Policies and Path Planning
1.1 Intelligent Roadside Perception Policy
1.1.1 National Strategic Guiding Policies for Intelligent Highway
1.1.2 Level of Intelligent Technology for Intelligent Highway
1.1.3 Correspondence of Level between Intelligent Highway Technology and Autonomous Driving
1.1.4 Evaluation Contents and Standards of Intelligent Highway Pilot Projects
1.1.5 Standards for Intelligent Highway Infrastructure Projects Get Improved Gradually
1.1.6 Building of Intelligent Roadside Standard System
1.2 Development Plan for Intelligent Roadside Perception
1.2.1 Vehicle-infrastructure Cooperation Promotes Intelligent Transportation
1.2.2 Development Plan for Intelligent Highway
1.2.3 Construction of 5G Intelligent Highway
1.2.4 Requirements on Deployment of Intelligent Roadside Facilities in Intelligent Highway Pilot Projects
1.2.5 Path Planning of Industrialization of Intelligent Roadside Perception under the Internet of Vehicles (IOV) Framework (2019-2025)

2 Key Technologies and Industry Chain of Roadside Perception
2.1 Key Roadside Perception Technology
2.1.1 Role of Intelligent Roadside Perception Equipment
2.1.2 Intelligent Roadside Perception Solution
2.1.3 Intelligent Roadside Perception System
2.1.4 Perception Technology
2.1.5 Transmission Technology
2.1.6 Control Technology
2.1.7 Computing Technology
2.1.8 System Integration Technology
2.1.9 Technology of Dynamic Analysis and Security Decision
2.1.10 Key Technology for Roadside Perception—Multi-sensor Fusion
2.1.11 Technological Challenges to Roadside Perception
2.1.12 Roadside Perception Technological Solutions of Major Suppliers
2.1.13 Roadside Perception Product Layout of Major Suppliers
2.2 Intelligent Roadside Perception Industry Chain
2.2.1 New Intelligent Transportation System with Vehicle-Infrastructure-Cloud Collaboration
2.2.2 Role of Vehicle-Infrastructure Cooperation in Intelligent Transportation
2.2.3 Basic Application Scenarios of Intelligent Roadside Perception
2.2.4 Intelligent Roadside Perception Industry Chain
2.2.5 Industrial Ecosystem of CVIS-based Roadside Perception
2.2.6 Roles that All Parties on the Industry Chain Play in the CVIS-based Intelligent Transportation System
2.2.7 Obstacles to Industrialization of C-V2X Roadside Facilities in China

3 Roadside Perception Market Size and Trend
3.1 Intelligent Roadside Perception Market Size
3.1.1 Market Size - Estimated Data and Assumption
3.1.2 Market Size Estimation - Intelligent Roadside Perception Equipment (RSU + Perception)
3.1.3 Market Size Estimation - Cloud Control Platform
3.1.4 Market Size Estimation - Summary (RSU + Cloud Platform + MEC)
3.1.5 Trend of Market Size
3.1.6 Development Trend of Intelligent Roadside Perception
3.2 Patents of Intelligent Roadside Perception Equipment
3.2.1 RSU Patents
3.2.2 MEC Patents

4 Roadside Perception Business Models and Cases
4.1 Roadside Perception Business Models
4.1.1 Market
4.1.2 Prerequisites for Mature Business Models
4.1.3 How to Choose Application Scenarios in Early Industrialization
4.1.4 The Best Application Scenarios in the Early Stage
4.1.5 Exploration of Scenario-based Application Models
4.1.6 IOV Business Model
4.1.7 Challenges to IOV Business Model
4.1.8 Roadside Perception Equipment Investment and Business Model
4.1.9 Commercial Deployments in Intelligent Roadside Equipment
4.1.10 Exploration of Business Model for Intelligent Roadside Equipment
4.1.11 MEC Commercial Deployment Strategy
4.1.12 Deployment of MEC in IOV Scenarios
4.1.13 MEC Business Model
4.1.14 Scenario-based Application Case 1: Platooning on Highway
4.1.15 Scenario-based Application Case 2: Connected Autonomous Driving for Smart Mines
4.1.16 Scenario-based Application Case 2: Connected Autonomous Driving for Smart Mines (Analysis)
4.2 Intelligent Roadside Perception Application Cases
4.2.1 Intelligent Highway
4.2.2 Urban Area
4.2.3 Enclosed or Semi-enclosed Area
4.2.4 Intelligent Pole
4.2.5 Intelligent Pole Architecture

5 Roadside Perception System Solution Providers
5.1 Genvict
5.1.1 Profile
5.1.2 Operation
5.1.3 Development Strategy
5.1.4 Product Line
5.1.5 V2X Roadside Equipment
5.1.6 C-V2X Roadside and Automotive Solution
5.1.7 Major Customers and Partners
5.1.8 Intelligent Roadside Perception Application Case
5.2 Vanjee Technology
5.2.1 Profile
5.2.2 Operation
5.2.3 Intelligent Roadside Equipment
5.2.4 Intelligent Roadside Equipment: Product Parameters
5.2.5 Intelligent Roadside Equipment: Smart Base Station
5.2.6 Products: 3D LiDAR
5.2.7 Products: Intelligent Roadside Perception Solution Based on V2X+3D LiDAR
5.2.8 Intelligent Roadside Perception Cases
5.3 China TransInfo Technology
5.3.1 Profile
5.3.2 Operation
5.3.3 R&D System
5.3.4 Roadside Equipment
5.3.5 Roadside Perception Equipment
5.3.6 Intelligent Roadside Perception Cases
5.4.1 Profile
5.4.2 Development History
5.4.3 Products
5.4.4 Roadside Perception System
5.4.5 Intelligent Roadside Perception Cases
5.5 iSmartWays
5.5.1 Profile
5.5.2 Development History
5.5.3 Products
5.5.4 Roadside Perception Equipment
5.5.5 Domestic and Foreign Collaborations
5.6 Changsha Intelligent Driving Institute (CiDi)
5.6.1 Profile
5.6.2 Products and Solutions
5.6.3 Roadside Perception Equipment
5.6.4 V2X Cases
5.7 Huawei
5.7.1 Overall Strategic Planning of Intelligent Connected Vehicle (ICV)
5.7.2 ICV Layout and Customers
5.7.3 Products and Technologies
5.7.4 Intelligent Roadside Perception Equipment
5.7.5 Forecast for Global Intelligent Light Pole Market
5.8 Cohda Wireless
5.8.2 Products
5.9 Savari
5.9.2 Technologies and Products
5.9.3 Partners and Investors
5.10 China Automotive Engineering Research Institute
5.10.1 Profile
5.10.3 Winning the Bidding for “IOV” Project of the Ministry of Industry and Information Technology of China
5.11 TransMicrowave
5.11.1 Intelligent Roadside Perception Equipment
5.12 Commsignia
5.12.1Intelligent Roadside Perception Equipment
5.13 Hurys
5.13.1 Profile
5.13.2 Intelligent Roadside Perception Equipment
5.13.3 Roadside Perception Radar
5.13.4 Roadside Perception Camera
5.14 eHualu
5.14.1 Profile
5.14.2 Intelligent Roadside Perception Equipment
5.15 LeiShen Intelligent System
5.15.1 Profile
5.15.2 Roadside Perception Solutions
5.16 China Unicom
5.16.1 MEC Business
5.16.2 MEC Edge Cloud Network Architecture
5.16.3 MEC Edge Cloud Ecosystem
5.16.4 MEC Edge Cloud Deployment & Planning
5.17 ZTE
5.17.1 MEC Business
5.17.2 Cloud Control Platform Business

Automotive Digital Key Industry Trends Research Report, 2024

Automotive Digital Key Industry Trends Research Report, 2024 released by ResearchInChina highlights the following: Forecast for automotive digital key market;Digital key standard specifications and co...

Automotive XR (VR/AR/MR) Industry Report, 2024

Automotive XR (Extended Reality) is an innovative technology that integrates VR (Virtual Reality), AR (Augmented Reality) and MR (Mixed Reality) technologies into vehicle systems. It can bring drivers...

OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2024

OEMs’ Next-generation In-vehicle Infotainment (IVI) System Trends Report, 2024 released by ResearchInChina systematically analyzes the iteration process of IVI systems of mainstream automakers in Chin...

Global and China Automotive Lighting System Research Report, 2023-2024

Installations of intelligent headlights and interior lighting systems made steady growth. From 2019 to 2023, the installations of intelligent headlights and interior lighting systems grew steadily. I...

Automotive Display, Center Console and Cluster Industry Report, 2024

Automotive display has become a hotspot major automakers compete for to create personalized and differentiated vehicle models. To improve users' driving experience and meet their needs for human-compu...

Global and China Passenger Car T-Box Market Report, 2024

Global and China Passenger Car T-Box Market Report, 2024 combs and summarizes the overall global and Chinese passenger car T-Box markets and the status quo of independent, centralized, V2X, and 5G T-B...

AI Foundation Models’ Impacts on Vehicle Intelligent Design and Development Research Report, 2024

AI foundation models are booming. The launch of ChapGPT and SORA is shocking. Scientists and entrepreneurs at AI frontier point out that AI foundation models will rebuild all walks of life, especially...

Analysis on Geely's Layout in Electrification, Connectivity, Intelligence and Sharing

Geely, one of the leading automotive groups in China, makes comprehensive layout in electrification, connectivity, intelligence and sharing. Geely boasts more than ten brands. In 2023, it sold a tota...

48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024

Automotive low-voltage PDN architecture evolves from 12V to 48V system. Since 1950, the automotive industry has introduced the 12V system to power lighting, entertainment, electronic control units an...

Automotive Ultrasonic Radar and OEMs’ Parking Route Research Report, 2024

1. Over 220 million ultrasonic radars will be installed in 2028. In recent years, the installations of ultrasonic radars in passenger cars in China surged, up to 121.955 million units in 2023, jumpin...

Automotive AI Foundation Model Technology and Application Trends Report, 2023-2024

Since 2023 ever more vehicle models have begun to be connected with foundation models, and an increasing number of Tier1s have launched automotive foundation model solutions. Especially Tesla’s big pr...

Qualcomm 8295 Based Cockpit Domain Controller Dismantling Analysis Report

ResearchInChina dismantled 8295-based cockpit domain controller of an electric sedan launched in December 2023, and produced the report SA8295P Series Based Cockpit Domain Controller Analysis and Dism...

Global and China Automotive Comfort System (Seating system, Air Conditioning System) Research Report, 2024

Automotive comfort systems include seating system, air conditioning system, soundproof system and chassis suspension to improve comfort of drivers and passengers. This report highlights seating system...

Automotive Memory Chip and Storage Industry Report, 2024

The global automotive memory chip market was worth USD4.76 billion in 2023, and it is expected to reach USD10.25 billion in 2028 boosted by high-level autonomous driving. The automotive storage market...

Automotive AUTOSAR Platform Research Report, 2024

AUTOSAR Platform research: the pace of spawning the domestic basic software + full-stack chip solutions quickens. In the trend towards software-defined vehicles, AUTOSAR is evolving towards a more o...

China Passenger Car Electronic Control Suspension Industry Research Report, 2024

Research on Electronic Control Suspension: The assembly volume of Air Suspension increased by 113% year-on-year in 2023, and the magic carpet suspension of independent brands achieved a breakthrough ...

Global and China Hybrid Electric Vehicle (HEV) Research Report, 2023-2024

1. In 2025, the share of plug-in/extended-range hybrid electric passenger cars by sales in China is expected to rise to 40%. In 2023, China sold 2.754 million plug-in/extended-range hybrid electric p...

L3/L4 Autonomous Driving and Startups Research Report, 2024

The favorable policies for the autonomous driving industry will speed up the commercialization of L3/L4. In the second half of 2023, China introduced a range of policies concerning autonomous drivin...

2005- All Rights Reserved 京ICP备05069564号-1 京公网安备1101054484号