Urban Vehicle Traffic and People Flow Management

Price: Starting at USD 3,000

Publish Date: 04 May 2022

Code: AN-5476

Research Type: Report

Pages: 37

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Actionable Benefits

Actionable Benefits

Develop future traffic management product and service portfolios.
Understand how new traffic technologies can drive new use cases and offer additional benefits related to operational cost savings and sustainability.
Identify innovative funding and monetization strategies related to traffic data marketplaces and commercial services.

Research Highlights

Research Highlights

Overview of new traffic management use cases such as curbside and people flow management.
List of disruptive traffic management technologies including LiDAR sensors, AI, and on-demand / automated traffic management systems, and edge cloud.
In-depth review of the traffic management ecosystem structure and value chain dynamics including 20 vendor profiles and multiple case studies.
Key forecasts related to traffic management sensors and solutions.

Critical Questions Answered

Critical Questions Answered

Which (combination of) traffic management sensors are best suited for specific use cases?
How can fixed/roadside sensor data and mobile/vehicle sensor data be combined to maximize performance and effectiveness?
Which partnerships and acquisitions should be pursued to support competitiveness and growth strategies?

Who Should Read This?

Who Should Read This?

City governments (CTOs, planners).
Planning and strategy executives at traffic agencies and road operators.
Product and strategy managers at traffic management and ITS technology suppliers.
Semiconductor vendors.
Connectivity technology providers.

Companies Mentioned

BOSCH

Cisco

Continental

Hitachi Ltd

NVIDIA

PTV Group

Siemens

TomTom

Vector

Table of Contents

1. EXECUTIVE SUMMARY

1.1. Urban Traffic Management Market and Technology Trends

1.2. Vehicle Traffic and People Flow Management Benefits and Objectives

1.3. Limitations of Traffic Management

1.4. Key Traffic Management Metrics and Forecasts

1.5. Recommendations for Technology Suppliers and City Governments

2. URBAN TRAFFIC MANAGEMENT USE CASES AND APPLICATIONS

2.1. Real-Time Vehicle Traffic Management

2.2. Pedestrian Detection and People Flow Management

2.3. Traffic Planning, Modeling, and Simulation

2.4. Traffic Management Data Services

3. TRAFFIC MANAGEMENT TECHNOLOGIES

3.1. Fixed Sensors—Optical, FIR, LiDAR, and Radar

3.2. Mobile Traffic Management Sensors

3.3. Traffic Management Hardware Systems

3.4. Edge Compute and AI

3.5. Connectivity and (Edge) Cloud

3.6. Traffic Management Software Platforms

4. TRAFFIC MANAGEMENT ECOSYSTEM

4.1. Ecosystem Dynamics

4.2. Key Vendor Profiles

Companies Mentioned

BOSCH
Cisco
Continental
Google
Hitachi Ltd
NVIDIA
PTV Group
Siemens
TomTom
Vector