Safety and Sustainable Development of Automated Driving in Mixed-Traffic Urban Areas—Considering Vulnerable Road Users and Network Efficiency
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Next to environmental aspects, establishing areas for safe and economically viable automated driving in mixed-traffic settings is one major challenge for sustainable development of Autonomous Vehicles (AVs). This work investigates safety in the interactions between AVs, human-driven vehicles, and vulnerable road users, including cyclists and pedestrians, within a simulated urban environment in the Dutch city of Rotterdam. New junction and pedestrian models are introduced, and virtual AVs with an occlusion-aware driving system are deployed to deliver cargo autonomously. The safety of applying this autonomous cargo delivery service is assessed using a large set of Surrogate Safety Indicators (SSIs). Furthermore, Macroscopic Fundamental Diagrams (MFDs) and travel time loss are incorporated to evaluate the network efficiency. By assessing the impact of various measures involving Vehicle-to-Vehicle (V2V), Vehicle-to-Infrastructure (V2I), Vehicle-to-Everything (V2X) communications, infrastructure modifications, and driving behavior, we show that traffic safety and network efficiency can be achieved in a living lab setting for the considered case. Our findings further suggest that V2X gets implemented, new buildings are not placed close to intersections, and the speed limit of non-arterial roads is lowered.
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The introduction of AVs is considered a chance to increase the allure of public transportation by enabling broad dissemination of shared vehicles that might support the mass rapid transit network.
“By enabling a broad dissemination of shared vehicles that might support the mass rapid transit network, the introduction of AVs is considered as a chance to increase the allure of public transportation.”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [72]
Section 6 (Case Study; page unavailable) describes a proposed route designed for autonomous public transport, and Section 2.2 (Operational Efficiency; page unavailable) mentions AV-based mobility services. Neither passage says that widespread shared AVs would support a mass rapid transit network or make public transportation more attractive. (LLM, conf=0.76)
Experimental — accuracy not yet measuredImproving public transportation can persuade more people to use sustainable means of transportation instead of private vehicles, lowering traffic congestion and emissions.
“By improving public transportation, this attempts to persuade more people to utilize sustainable means of transportation instead of private vehicles, so lowering traffic congestion and emissions [43,44,67,68,72].”
From Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature (2024) · cites this paper as [72]
Section 6 mentions a proposed route designed for autonomous public transport, but does not discuss improving the service or persuading people to leave private vehicles. Searches for a shift from private vehicles and for reduced congestion and emissions found no passage connecting those outcomes to public transport; Section 2.2 instead discusses the operational efficiency of autonomous vehicles. (LLM, conf=0.74)
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Cited by
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Assessing the Role of Autonomous Vehicles in Urban Areas: A Systematic Review of Literature
Makahleh, H. Y., Ferranti, E. J. S., & Dissanayake, D. (2024) · Future Transportation · doi:10.3390/futuretransp4020017 · Cited by 55 · see citing works
- Authors
- Pauwels, A., Pourmohammad-Zia, N., & Schulte, F.
- Affiliations
- Delft University of Technology (NL)
- Department of Maritime & Transport Technology, Delft University of Technology, 2628 CD Delft, The Netherlands
- Corresponding author
- Schulte, Frederik
- Venue
- Sustainability
- Publisher
- MDPI AG
- Published
- 2022-10-19
- Volume
- 14
- Issue
- 20
- Pages
- 13486
- ISSN
- 2071-1050 (ISSN-L)
- OpenAlex
- W4306857278
- Cited by
- 8
- References
- 0
- Citations by year
- 2026: 2 · 2025: 2 · 2024: 3 · 2023: 1
- FWCI
- 0.60
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- Sustainability (publishedVersion, cc-by)
- RePEc: Research Papers in Economics (submittedVersion)
- DOAJ (DOAJ: Directory of Open Access Journals) (submittedVersion, cc-by-sa)
- Research Repository (Delft University of Technology) (submittedVersion, cc-by)
- Data Archiving and Networked Services (DANS) (submittedVersion, other-oa)
- Funders
- i-CAVE Dynamic Fleet Management (P14-18 project 3)
- The Netherlands Organization for Scientific Research (NWO)
- domain Applied and Engineering Sciences (TTW)
- Topics
- Physical Sciences › Engineering › Control and Systems Engineering › Traffic control and management
- Physical Sciences › Engineering › Safety, Risk, Reliability and Quality › Traffic and Road Safety
- Physical Sciences › Engineering › Automotive Engineering › Autonomous Vehicle Technology and Safety
- Keywords
- autonomous driving, mixed traffic, vulnerable road users, cyclists, pedestrians, macroscopic fundamental diagram, travel time loss, network efficiency, vehicle-to-everything communication, vehicle-to-vehicle communication, vehicle-to-infrastructure communication, living labs, pedestrian models, speed limits, Rotterdam
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