Vehicle Safety and Crash Avoidance
Deadline for manuscript submissions: 20 June 2024 | Viewed by 6110
Interests: safety modeling; safety behavior analysis; surrogate traffic safty analysis; traffic safety evaluation
Interests: real-time safety analysis; autonomous driving safety evaluation; traffic behavior analysis and modeling; and advanced statistical modeling
Interests: urban road and freeway safety analysis; truck safety; vulnerable roader user safety; using connected and autonomous vehicle data to enhance safety; safety performance quantification
Traffic crashes remain a significant societal issue today, and determining how to reduce the frequency and severity of such crashes are essential questions for both academia and industry. Expanding the availability of vehicle systems and features that help to avoid crashes through advancements in vehicle safety technology is a robust approach to responding to the safety challenge.
Several cutting-edge technologies have been introduced to improve vehicle safety, including 5G, big data, artificial intelligence, cloud computing, edge computing, advanced sensing, etc. Based on these technologies, autonomous driving, connected vehicles, and advanced driver assistance systems (such as forward collision warning, lane departure warning, crash imminent braking, dynamic braking support, pedestrian automatic emergency braking, etc.) facilitate the development of vehicle safety and crash avoidance.
In this context, this Special Issue titled “Vehicle Safety and Crash Avoidance” is proposed to promote ideas and introduce state-of-the-art methods and technologies, as well as the potential applications that they can be used for. This collection welcomes any recent studies pertaining to cutting-edge technologies for vehicle safety and crash avoidance.
The topics of interest for this Special Issue include but are not limited to the following:
- Proactive road safety analysis;
- Real-time safety analysis;
- Real-time safety route planning;
- Autonomous driving safety evaluation;
- Emerging methods and technologies for ecodriving;
- Dispatch, operation, and management for new energy vehicles;
- Freeway safety in mixed traffic conditions (human driving and autonomous vehicles);
- The safety of vulnerable road users in the urban environment;
- Motorized and non-motorized mixed traffic modeling method;
- Autonomous vehicle mixed traffic simulation and safety analysis;
- Safety traffic operations for the mixed traffic of human-driven vehicles and CAVs;
- AI-empowered traffic safety analytics using vehicle trajectory data;
- AI-empowered CAV management and operations;
- Novel policies for ensuring CAV safety;
- Future perspectives of CAV safety;
- Vehicle crash avoidance technology;
- Advanced driving assistance system evaluation.
Prof. Dr. Xinguo Jiang
Dr. Chuanyun Fu
Dr. Chuan Xu
Manuscript Submission Information
Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.
Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Applied Sciences is an international peer-reviewed open access semimonthly journal published by MDPI.
Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2400 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.
- traffic safety
- highway safety
- crash risk
- traffic conflict
- risky driving behavior
- autonomous driving human driving
- autonomous vehicle
- connected vehicle
- connected and automated vehicle
- motorized vehicle
- non-motorized vehicle
- crash avoidance
- vulnerable road user
- advanced driver assistance systems