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2026 the 11th International Conference on Intelligent Transportation Engineering (ICITE 2026)
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About this event
2026 the 11th International Conference on Intelligent Transportation Engineering (ICITE 2026)
Date: November 6–8, 2026
Venue: The University of Hong Kong (HKU), Hong Kong, China
Event Type: Academic and Research Conference focused on Intelligent Transportation Engineering
Estimated Attendance: Not explicitly stated, but typical for international conferences of this caliber; expected to draw hundreds of researchers, engineers, and industry professionals globally.
1️⃣ Who Attends (BUYERS / ATTENDEES)
ICITE 2026 attracts a multidisciplinary audience centered around intelligent transportation systems (ITS). Key attendee profiles include:
- Research Scientists and Engineers in Transportation, AI, and IoT
- Academic Scholars and Professors from Engineering and Computer Science Departments
- Industry Professionals: Product Managers, R&D Directors, and Technical Leads in Automotive and Telecommunications
- Government and Policy Advisors focused on Smart City Infrastructure
- Startup Founders in Autonomous Vehicles, 6G, and Connected Systems
- Ph.D. Students and Postdoctoral Researchers in Relevant Fields
2️⃣ Location + Attendee Geographic Origin
Event Location: The University of Hong Kong (HKU), Hong Kong, China
Attendee Origin: Global, with a strong emphasis on Asia-Pacific due to the venue location. Expected participation from:
- China, Hong Kong SAR, and Macau SAR (local/regional)
- Japan, South Korea, and Taiwan (Asia-Pacific)
- Germany, the U.S., and the U.K. (international)
- Representatives from multinational corporations and research institutions worldwide
3️⃣ Audience Reach
Reach Type: Global, with a focus on academic and industrial collaboration. The conference publishes proceedings indexed by Ei Compendex and Scopus, ensuring worldwide academic visibility and attracting multinational industry participation.
4️⃣ Sample Buyer Company Names (BUYERS ONLY) + Websites
| Priority | Company | Website | Best Title to Target | Why This is a Good Buyer Fit |
|---|---|---|---|---|
| 1 | Toyota Motor Corporation | https://www.toyota.com/ | Autonomous Driving R&D Manager | Active in autonomous vehicle development; aligns with ICITE’s focus on V2X and AI-driven systems. |
| 2 | Siemens AG | https://www.siemens.com/ | Smart Infrastructure Director | Leaders in IoT-enabled urban mobility solutions and transportation systems. |
| 3 | Huawei Technologies | https://www.huawei.com/ | 5G/6G Network Architecture Lead | Key player in next-gen connectivity critical for intelligent transportation networks. |
| 4 | Intel Corporation | https://www.intel.com/ | Machine Learning Engineer – Autonomous Systems | Investing heavily in AI for transportation; matches ICITE’s deep learning and prediction topics. |
| 5 | Bosch Group | https://www.bosch.com/ | Vehicle Connectivity Manager | Develops car-to-car and car-to-infrastructure communication technologies. |
| 6 | Ericsson AB | https://www.ericsson.com/ | Telecommunications Standards Manager | 6G and IoT network development aligns with conference themes. |
| 7 | NVIDIA Corporation | https://www.nvidia.com/ | Director, Autonomous Machines | Leaders in AI hardware for self-driving cars and smart city applications. |
| 8 | Valeo Automotive Systems | https://www.valeo.com/ | ADAS (Advanced Driver-Assistance Systems) Manager | Focuses on sensor technologies for autonomous vehicles; relevant to V2V and road coordination. |
| 9 | Denso Corporation | https://www.denso.com/ | Technical Strategy Lead – Mobility | Supplier of automotive electronics and ADAS; active in intelligent transportation R&D. |
| 10 | Hitachi, Ltd. | https://www.hitachi.com/ | Smart City Infrastructure Lead | Involved in urban mobility solutions and large-scale transportation systems. |
| 11 | IBM Corporation | https://www.ibm.com/ | AI Transportation Solutions Manager | Applies AI and big data analytics to traffic management and optimization. |
| 12 | Continental AG | https://www.continental.com/ | Connected Mobility Director | Develops systems for vehicle networking and autonomous driving. |
| 13 | Qualcomm Technologies | https://www.qualcomm.com/ | Senior Manager, Automotive Chipsets | Provides semiconductor solutions for vehicular connectivity and 5G/6G integration. |
| 14 | Tesla, Inc. | https://www.tesla.com/ | Autopilot Software Engineer | Pioneer in electric and self-driving vehicles; aligns with autonomous driving focus. |
| 15 | Thales Group | https://www.thalesgroup.com/ | Transportation Cybersecurity Lead | Focuses on secure communication systems for intelligent transportation networks. |
5️⃣ Job Profiles, Industries & Event Type
Best Job Profiles to Target:
- Research Scientist – Intelligent Transportation Systems
- Principal Engineer – Autonomous Vehicles
- Director of R&D – Smart Mobility
- Professor of Transportation Engineering
- Product Manager – Connected Car Solutions
- Technical Lead – IoT for Urban Infrastructure
- Policy Advisor – Smart City Development
Relevant Industries (Apollo-Based):
- Automotive
- Information Technology & Services
- Telecommunications
- Electrical/Electronic Manufacturing
- Artificial Intelligence
- Government Affairs (Smart City Policy)
- Research Institutions
6️⃣ Key Focus Areas & Buyer Engagement
Key Focus Areas:
- Autonomous Driving and Vehicle Coordination
- 6G and Next-Generation Network Integration
- Deep Reinforcement Learning for Traffic Optimization
- IoT Applications in Urban Mobility
Data sheet
2026 the 11th International Conference on Intelligent Transportation Engineering (ICITE 2026) – Event Attendee & Buyer Profile Analysis
Event date: November 6–8, 2026
Location: The University of Hong Kong (HKU), Hong Kong, China
Event status: Upcoming
Research date: June 29, 2026
Event Overview
| Event Name | 2026 the 11th International Conference on Intelligent Transportation Engineering (ICITE 2026) |
| Event Date | November 6–8, 2026 |
| Event Status | Upcoming |
| Venue | The University of Hong Kong (HKU) |
| City | Hong Kong |
| State / Region | Hong Kong SAR |
| Country | China |
| Organizer | Organizer name not clearly stated on the homepage; the event is confirmed as sponsored by The University of Hong Kong (HKU), China. |
| Official Event Website | icite.org |
| Event Type | Academic and research conference with industry, innovation, and technical collaboration relevance |
| Primary Category | Logistics & Transportation |
| Secondary Applicable Categories | IT & Technology; Science & Research; Auto & Automotive; Telecommunication |
| Audience Reach | Global, with especially strong Asia-Pacific relevance |
| Estimated Attendance / Expected Footfall | Attendance figure not publicly confirmed by the organizer. |
| Attendance Data Reliability | Low for volume metrics; the official website confirms dates, venue, topic scope, and participant types, but does not publish attendee totals. |
| Main Purpose of Event | To provide an international platform for researchers, engineers, scientists, and related industry professionals to present work, exchange ideas, discuss intelligent transportation trends, and build academic, technical, and business relationships. |
About the Event
ICITE 2026 is the 11th edition of the International Conference on Intelligent Transportation Engineering, scheduled for November 6–8, 2026 at The University of Hong Kong. According to the official event website, the conference focuses on intelligent transportation development trends including traffic safety, vehicle-to-vehicle communication, vehicle-road coordination, autonomous driving, 6G cellular networks, IoT, deep reinforcement learning, and autonomous driving prediction technologies.
From a commercial intelligence perspective, ICITE is primarily an academic and technical conference rather than a pure procurement expo. However, it remains relevant for B2B outreach because it convenes researchers, engineering leaders, smart mobility stakeholders, university labs, public-sector transport planners, and innovation-focused technology organizations. It is especially useful for lead generation involving R&D partnerships, transport technology pilots, smart-city collaboration, technical software, sensors, connectivity, simulation, AI, and research-linked enterprise selling.
1. Who Attends: Buyers / Attendees
| Buyer / Attendee Segment | Typical Organizations | Buying Role or Influence | Relevance to Exhibitors / Suppliers |
|---|---|---|---|
| Transportation researchers and engineers | Universities, transport labs, ITS research centers | Influence technical evaluations, pilot design, research tool selection | High relevance for simulation tools, sensors, AI platforms, data infrastructure, connectivity solutions |
| Academic scholars and faculty | Engineering, computer science, transportation, robotics departments | Influence grants, research partnerships, lab procurement, publication collaboration | Useful for research equipment, software licenses, datasets, sponsorships, and consortium building |
| Industry R&D and product leaders | Automotive, telecom, ITS, mobility software, mapping, edge computing firms | Evaluate technical partnerships, product integration, proof-of-concept suppliers | High value for component suppliers, software vendors, V2X, AI, cloud, and embedded systems providers |
| Government and policy advisors | Transport departments, smart-city offices, road authorities, public planning bodies | Shape standards, pilot projects, procurement priorities, regulatory alignment | Relevant for public-sector mobility systems, traffic analytics, infrastructure digitization, and safety technology |
| Startup founders and innovation teams | Autonomous driving, 6G, IoT, smart mobility, deep learning startups | Buy technical services, testing tools, cloud credits, development platforms | Good fit for enabling technologies, accelerators, engineering services, and partnership outreach |
| Telecommunications and connectivity specialists | 5G/6G vendors, wireless labs, network solution providers | Influence network architecture, V2X deployment, edge connectivity stack choices | Important for communications hardware, test systems, edge software, and standards engagement |
| Public transport and operations analysts | Transit operators, traffic management units, mobility planners | Evaluate use cases tied to optimization, passenger flow, safety, and predictive operations | Relevant for control systems, AI operations tools, route optimization, and digital twin offerings |
| Ph.D. students and postdoctoral researchers | Research institutions and graduate programs | Low direct buying authority, high technical influence and future pipeline value | Useful for awareness, trial adoption, community building, and long-term market development |
2. Event Location and Attendee Geographic Origin
| Geographic Area | Likely Attendee Origin | Buyer Concentration | Notes |
|---|---|---|---|
| Host city | Hong Kong | High | HKU location supports attendance from local universities, transport agencies, smart-city stakeholders, and mobility technology companies. |
| Host region | Hong Kong SAR and Greater Bay Area | High | Likely draw from Shenzhen, Guangzhou, Macau, and adjacent innovation corridors due to proximity and transport-tech relevance. |
| Nearby business hubs | Shenzhen, Guangzhou, Macau, Singapore | Medium to High | Strong relevance for telecom, electronics, automotive systems, AI, and urban mobility ecosystems. |
| National reach | Mainland China and Hong Kong academic and technical communities | High | Official site emphasizes intelligent transportation as a key development area and welcomes experts, scholars, teachers, students, and industry professionals. |
| International reach | Asia-Pacific, Europe, and North America | Medium | The conference is positioned as an international platform; likely strongest overseas pull is from ITS, AI, telecom, and autonomous systems research networks. |
| Key trade / research corridors | China–Hong Kong research corridor; APAC smart mobility corridor | Medium to High | Relevant for collaborative R&D, standards exchange, smart-city pilots, and university-industry partnerships. |
3. Audience Reach
| Reach Level | Assessment | Explanation |
|---|---|---|
| Global | Primary classification | The official website describes ICITE as an international platform for researchers, engineers, and scientists worldwide. |
| Asia-Pacific | Secondary concentration | Hong Kong venue and topic relevance make APAC the most likely concentration for attendance and partnership activity. |
4. Sample Buyer Companies and Websites
Official current-year attendee and buyer lists were not publicly available from the event website at the time of research. The table below combines the confirmed host/sponsor organization with high-fit prospecting targets relevant to ICITE’s intelligent transportation themes. These are useful for outreach planning but should not be treated as confirmed attendees unless noted.
| Buyer Company / Organization | Buyer Type | Why It Is Relevant | Website | Best Job Titles to Target | Evidence Level |
|---|---|---|---|---|---|
| The University of Hong Kong (HKU) | Host university / sponsor-side organization | Confirmed venue and sponsor; relevant for research collaboration, mobility labs, grants, and technical partnerships. | hku.hk | Professor, Lab Director, Research Fellow, Procurement Office, Department Head | Confirmed Sponsor / Exhibitor |
| MTR Corporation | Transit operator | Major smart mobility and transport operations stakeholder in Hong Kong; relevant for ITS, predictive operations, and passenger-flow analytics. | mtr.com.hk | Head of Digital, Operations Director, Innovation Manager, Smart Mobility Manager | Strong Market Fit, Attendance Not Confirmed |
| Transport Department, Hong Kong SAR Government | Government / transport authority | Directly relevant to transport planning, traffic systems, and smart-city deployment in the host market. | td.gov.hk | Chief Engineer, Transport Planner, Systems Manager, Procurement Manager | Strong Market Fit, Attendance Not Confirmed |
| Highways Department, Hong Kong SAR Government | Government / infrastructure authority | Relevant for road infrastructure digitization, traffic monitoring, and connected corridor projects. | hyd.gov.hk | Chief Engineer, Project Manager, Asset Management Lead, Innovation Officer | Strong Market Fit, Attendance Not Confirmed |
| Airport Authority Hong Kong | Transport operator / infrastructure owner | Relevant for intelligent ground transport, traffic orchestration, sensors, analytics, and autonomous mobility pilots. | hkairport.com | Innovation Lead, Operations Director, Digital Transformation Manager, Smart Airport Program Manager | Strong Market Fit, Attendance Not Confirmed |
| Huawei | Telecom / smart infrastructure enterprise | Highly relevant to 5G/6G, IoT, edge computing, and smart transportation architectures discussed by ICITE. | huawei.com | Transportation Solutions Director, CTO, Product Director, Business Development Director | Strong Market Fit, Attendance Not Confirmed |
| ZTE | Telecommunications technology provider | Relevant to connected transport, V2X, 5G/6G network enablement, and IoT mobility infrastructure. | zte.com.cn | VP Solutions, R&D Director, Transportation Industry Director, Strategic Partnerships Lead | Strong Market Fit, Attendance Not Confirmed |
| BYD | Automotive / mobility manufacturer | Relevant to electric mobility, connected vehicles, fleet systems, and autonomous transport innovation. | byd.com | R&D Director, Connected Vehicle Director, Product Manager, Innovation Partnerships Manager | Strong Market Fit, Attendance Not Confirmed |
| Baidu Apollo | Autonomous driving and AI platform organization | Direct relevance to autonomous driving, AI, connected systems, and future transport engineering themes. | apollo.auto | Autonomous Driving Director, AI Platform Lead, Research Director, Strategic Alliances Manager | Strong Market Fit, Attendance Not Confirmed |
| NXP Semiconductors | Semiconductor / automotive electronics supplier | Relevant for V2X, embedded systems, edge sensing, and intelligent vehicle communication stacks. | nxp.com | Automotive Solutions Director, Business Development Manager, Product Marketing Director, Systems Architect | Strong Market Fit, Attendance Not Confirmed |
| Siemens Mobility | Mobility systems supplier | Relevant for transport automation, rail systems, traffic management, and digital mobility infrastructure. | siemens.com/mobility | Regional Sales Director, Mobility Solutions Director, Program Manager, Digitalization Lead | Strong Market Fit, Attendance Not Confirmed |
| Thales | Transport technology and systems integrator | Relevant for secure transport systems, signaling, connected mobility, and mission-critical infrastructure. | thalesgroup.com | Transportation Program Director, Solutions Architect, Bid Director, Innovation Lead | Strong Market Fit, Attendance Not Confirmed |
5. Job Profiles, Industries and Event Type
| Priority | Job Title / Function | Department | Seniority Level | Why This Role Matters |
|---|---|---|---|---|
| 1 | R&D Director | Research & Development | Director | Core buyer/influencer for technical platforms, pilot programs, and engineering collaborations. |
| 2 | CTO | Technology | C-Level | Relevant for architecture decisions in AI, IoT, V2X, cloud, and autonomous systems. |
| 3 | Director of Transportation Systems | Operations / Engineering | Director | Highly relevant in public transport, infrastructure, and smart-city deployments. |
| 4 | Product Manager, Intelligent Transportation | Product | Manager | Useful for identifying near-term purchase interest and product integration opportunities. |
| 5 | Innovation Manager | Innovation / Strategy | Manager | Often drives pilot selection, startup engagement, and external solution scouting. |
| 6 | Professor / Principal Investigator | Academic Research | Senior | Important for lab adoption, collaborative grants, and academic-industry validation. |
| 7 | Procurement Manager | Procurement | Manager | Relevant at universities, government bodies, and larger enterprises for formal acquisition processes. |
| 8 | Business Development Director | Business Development | Director | Important for partnership-led selling across mobility ecosystems. |
| 9 | Smart City Program Manager | Government / Program Office | Manager | Useful for public-sector mobility modernization, interoperability, and pilot deployment. |
| 10 | Systems Architect / Technical Lead | Engineering | Senior / Manager | Strong technical influencer for interoperability, deployment feasibility, and vendor selection. |
| Priority | Apollo Industry | Why It Fits the Event | Best Buyer Use Case |
|---|---|---|---|
| 1 | Transportation/Trucking/Railroad | Direct transport operations and mobility systems relevance | Transit operators, smart fleet systems, traffic optimization |
| 2 | Information Technology & Services | AI, cloud, analytics, data integration, and mobility software are core themes | Smart transportation platforms, enterprise software, digital transformation |
| 3 | Computer Software | Important for traffic analytics, prediction, autonomy, and simulation | AI engines, digital twins, optimization software, edge orchestration |
| 4 | Telecommunications | Official scope includes 5G/6G and connected systems | V2X, private networks, roadside communication infrastructure |
| 5 | Automotive | Strong relevance for autonomous driving and connected vehicle systems | Vehicle platforms, ADAS, autonomous mobility, test ecosystems |
| 6 | Electrical/Electronic Manufacturing | Sensors, embedded hardware, communication devices, roadside units | Hardware procurement, device integration, system deployments |
| 7 | Semiconductors | Enables onboard and edge intelligence for transport systems | V2X chipsets, embedded processing, sensor fusion platforms |
| 8 | Industrial Automation | Applicable to intelligent control, monitoring, and operational efficiency | Automation systems, predictive maintenance, control integration |
| 9 | Government Administration | Public-sector transport and smart-city agencies are relevant attendees and decision influencers | Road safety, traffic systems, digital infrastructure procurement |
| 10 | Higher Education | Conference is strongly research-led and university-centered | Lab tools, datasets, collaborative platforms, sponsored research |
| 11 | Research | Core audience includes researchers and scientific institutions | Technical pilots, grant-backed partnerships, evaluation studies |
| 12 | Civil Engineering | Relevant to road, infrastructure, corridor, and transport systems engineering | Infrastructure modernization, intelligent corridor planning, traffic engineering |
6. Estimated Attendance
| Metric | Figure | Status | Source / Basis | Notes |
|---|---|---|---|---|
| Estimated total footfall | Attendance figure not publicly confirmed by the organizer. | Unconfirmed | Official website does not publish attendee volume | No reliable current-year attendance count available. |
| Exhibitor count | Not publicly confirmed | Unconfirmed | Official website content reviewed | This appears to be a conference format rather than a large exhibition-led event. |
| Buyer count | Not publicly confirmed | Unconfirmed | No official attendee directory published | Likely mixed technical and research audience rather than volume procurement attendance. |
| Speaker count | Not publicly confirmed | Unconfirmed | Website navigation includes keynote and invited speakers pages, but counts were not verified in the supplied official text | Speaker list should be checked closer to the event for account-based targeting. |
| Sponsor count | 1 publicly confirmed in reviewed content | Confirmed | Official homepage | The University of Hong Kong (HKU), China is stated as sponsor. |
| Historical attendance | Not publicly verified in reviewed source set | Unavailable | Official text reviewed | Prior-year proceedings are listed, but prior-year attendee counts were not confirmed. |
7. Key Focus Areas and Buyer Engagement
| Focus Area | Typical Buyer Need | Buyer Engagement Opportunity | Relevant Supplier Offering |
|---|---|---|---|
| Intelligent transportation systems | Operational efficiency, sensing, integration, decision support | Present use cases, system interoperability, pilot readiness | ITS platforms, analytics, control systems, digital twins |
| Traffic safety | Risk reduction, incident prediction, enforcement support | Safety demonstrations, data-led ROI, regulatory alignment | Computer vision, sensor systems, predictive analytics, alerting tools |
| Vehicle-to-vehicle communication | Reliable low-latency connectivity and standards compatibility | Technical briefings, chipset/vendor collaboration, pilot architecture reviews | V2X modules, communication stacks, testing environments |
| Vehicle-road coordination | Connected infrastructure and corridor intelligence | Roadside pilot projects, systems integration partnerships | Roadside units, sensors, edge compute, integration services |
| Autonomous driving | Perception, prediction, simulation, validation | Joint research, demo programs, validation tooling discussions | Autonomy software, simulation, datasets, compute platforms |
| AI and deep reinforcement learning | Optimization, prediction, adaptive control | Thought leadership, benchmarking, model deployment support | AI software, MLOps, data labeling, compute and model tooling |
| IoT and sensing | Real-time perception, telemetry, environment monitoring | Proof-of-concept hardware trials, integration talks | IoT gateways, sensors, telemetry platforms, device management |
| 6G / advanced wireless networks | Future-ready transport connectivity | Roadmap discussions with telecoms, labs, and mobility solution architects | Wireless infrastructure, edge networking, testbeds, protocol software |
Lead Quality Assessment
| Factor | Assessment | Explanation |
|---|---|---|
| Buyer relevance | High | Strong for intelligent transportation, AI, telecom, infrastructure, and research-enabled solution providers. |
| Decision-maker availability | Medium | Many attendees are technical influencers or academic leaders rather than final procurement signatories. |
| Data collection potential | Medium | Useful for speaker, committee, author, and institution-based prospecting; weaker if a direct attendee list is required. |
| Apollo targeting potential | High | The event maps well to Apollo filters by industry, function, seniority, transport innovation, and autonomous mobility keywords. |
| Geographic targeting potential | High | Hong Kong and APAC focus provides efficient regional segmentation for campaigns. |
| Best outreach approach | High | Use technical-value messaging, pilot collaboration offers, research partnership framing, and product demo invitations. |
| Overall lead quality | High | Good event for innovation-led outreach and account mapping, though less direct for mass buyer list acquisition than a procurement expo. |
| Best use case | High | Best for ABM, partnership development, technology evangelism, research-to-commercialization outreach, and mobility ecosystem prospecting. |
| Limitations / risks | Medium | Public attendance volume is unconfirmed; many participants may be non-buying researchers or early-stage technical evaluators. |
Apollo.io Targeting Recommendation
| Filter Type | Recommended Filters | Purpose |
|---|---|---|
| Apollo industries | Transportation/Trucking/Railroad; Information Technology & Services; Computer Software; Telecommunications; Automotive; Electrical/Electronic Manufacturing; Semiconductors; Industrial Automation; Government Administration; Higher Education; Research; Civil Engineering | Covers the most relevant transport, infrastructure, research, and enabling technology buyers. |
| Departments | Engineering; Information Technology; Research; Operations; Product Management; Business Development; Innovation; Procurement | Captures both technical evaluators and commercial decision influencers. |
| Seniority | C-Level; VP; Director; Head; Manager; Senior | Prioritizes strategy, architecture, innovation, and purchasing influence. |
| Job titles | CTO; R&D Director; Director of Transportation Systems; Innovation Manager; Product Manager; Smart City Program Manager; Systems Architect; Research Director; Procurement Manager; Professor; Principal Investigator; Operations Director | High-fit list for intelligent transportation and mobility buying cycles. |
| Geography | Hong Kong; China; Macau; Singapore; Japan; South Korea; Taiwan; Germany; United Kingdom; United States | Reflects likely event reach and strongest international transport-tech ecosystems. |
| Employee size | 51–200; 201–500; 501–1,000; 1,001–5,000; 5,001+ | Balances startups, research spinouts, mid-market innovators, and large enterprises/government-linked operators. |
| Keywords | intelligent transportation; ITS; smart mobility; autonomous driving; V2X; vehicle-road coordination; connected vehicle; 5G; 6G; IoT; traffic safety; transport analytics; edge computing; smart city | Sharpens relevance to the event’s published themes. |
| Technologies | AI/ML; IoT; cloud platforms; wireless networking; GIS/mapping; edge computing | Useful for identifying companies actively investing in intelligent transportation stacks. |
| Revenue range | Use open range; prioritize mid-market to enterprise where solution complexity is high | Supports tiered targeting across public sector, academia, and enterprise mobility buyers. |
| Company type | Public companies; private companies; universities; government bodies; research institutes | Reflects the mixed academic, public-sector, and enterprise nature of the event. |
Suggested Apollo Search Logic: ("intelligent transportation" OR ITS OR "smart mobility" OR "autonomous driving" OR V2X OR "connected vehicle" OR "vehicle-road coordination" OR "traffic management" OR "transport analytics" OR "smart city") AND (CTO OR "R&D Director" OR "Innovation Manager" OR "Transportation Systems Director" OR "Product Manager" OR "Research Director" OR Professor OR "Procurement Manager").
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Sources & Verification Notes
| Source | Type | What It Verified | Reliability |
|---|---|---|---|
| ICITE 2026 Official Website | Official event website | Event name, dates, venue, city, country, sponsor, topic scope, conference purpose, important date, and official positioning as an international platform | High |
| ICITE 2026 EasyChair Submission Page | Official submission link | Supports the existence of the 2026 conference edition and live call-for-papers workflow | High |
| The University of Hong Kong Official Website | Official venue / institution website | Venue institution identity and host organization reference | High |
| Verification note | Research note | No official current-year attendee list, exhibitor list, speaker count, or attendance total was confirmed in the reviewed source material. Sample buyer organizations beyond HKU are prospecting targets based on thematic fit and market relevance, not confirmed attendees. | High transparency / Medium list certainty |
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