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Best Practices in Marketing and Creative Outreach for New Transportation Technologies
No full textEmerging transportation technologies—including electric vehicles (EVs), micromobility solutions, autonomous vehicles (AVs), hyperloop systems, and mobility-as-a-service (MaaS) platforms—are rapidly reshaping mobility patterns and urban environments. As these innovations gain traction, it becomes increasingly important to address concerns, communicate advantages, and foster trust across communities. This project examines marketing best practices for promoting emerging mobility solutions, synthesizing insights from scholarly research, industry standards, and case studies of successful campaigns. Emphasis is placed on the shift toward “snackable,” visually engaging content delivered through widely used social media platforms such as TikTok, Instagram, and Snapchat, which are increasingly central to reaching diverse audiences. The analysis demonstrates how innovative outreach methods, beyond conventional branding and media tactics, can foster trust, increase awareness, and engage stakeholders. To ground these findings in practice, the project concludes with the development of six original media projects designed to communicate the benefits, challenges, and societal implications of autonomous vehicles and other advanced transportation technologies. The results offer insights about the process of creating messaging specifically around high tech forms of new transportation such automated and autonomous vehicle transportation. This information can inform AV experts, policymakers, and community leaders to help them develop campaigns and resources that resonate with a wider range of stakeholders to advance technological adoption and increase public confidence
Spartan Daily, March 20, 2025
Get PDFVolume 164, Issue 25https://scholarworks.sjsu.edu/spartan_daily_2025/1024/thumbnail.jp
Assessing the Perceived Safety of Cyclists with Virtual Reality
Get PDFIn 2022, 7,522 pedestrians and 1,084 bicyclists were killed and approximately 67,000 pedestrians and 46,195 bicyclists injured in motor vehicle crashes on public roadways in the United States, according to the Insurance Institute for Highway Safety (IIHS). The transportation industry is faced with a pressing need to bolster the safety of these vulnerable road users. This research develops models of design and environmental factors that influence bicyclists’ and pedestrians’ perception of safety using Virtual Reality (VR) technology and ultimately informs transportation infrastructure design to better accommodate nonmotorized travelers. The goal of the bicycle element of this research is to develop models of design and environmental factors that influence bicycle safety perception. Preliminary findings show that VR-based Immersive Virtual Environment (IVE) simulators accurately replicate cyclists\u27 speed profiles, heart rate variations, and head/gaze behaviors, highlighting their potential for improving roadway safety planning. This research indicates that IVE could be utilized to create a bike simulation that: tests various road environments exhibiting different types of bicycle infrastructure and varying traffic levels; how they affect users’ behavioral changes through observation of their interactions; physiological reactions assessed via biometric sensors; perceptions of safety assessed via a post-simulation survey
Optogenetic methods to stimulate gamma motor neuron axons ex vivo
Get PDFIt is challenging to stimulate gamma motor neurons, which are important regulators of muscle spindle afferent function, without also recruiting alpha motor neurons. Here, we test the feasibility of stimulating gamma motor neuron axons using optogenetics in two transgenic mouse lines. We used an ex vivo muscle–nerve preparation in adult mice to monitor muscle spindle afferent firing, which should increase in response to gamma motor neuron-induced lengthening of the sensory region of the muscle spindle. A force transducer measured alpha motor neuron-mediated twitch contractions. Blue LED light (470 nm; 1–5 mW) was delivered via a light guide to the sciatic nerve. We confirmed that the more slowly conducting gamma motor neurons were recruited first in mice expressing channelrhodopsin 2 in choline acetyltransferase-positive motor neurons, whereas alpha motor neurons required higher optical intensities, enabling co-activation of alpha and gamma motor neurons depending on light intensity. However, this approach cannot isolate gamma motor neuron activity completely. Cre-dependent channelrhodopsin 2 optoactivation using the putative gamma motor neuron marker neuronal PAS domain protein 1 (Npas1) also increased muscle spindle afferent firing rates and caused only small twitch contractions. This provides functional validation that Npas1 is present primarily in gamma motor neurons and can be used to manipulate gamma motor neurons independently. We propose optogenetic stimulation as a promising tool to manipulate gamma motor neuron activity
Spartan Daily, January 29, 2025
Get PDFVolume 164, Issue 3https://scholarworks.sjsu.edu/spartan_daily_2025/1002/thumbnail.jp
Spartan Daily, February 5, 2025
Get PDFVolume 164, Issue 6https://scholarworks.sjsu.edu/spartan_daily_2025/1005/thumbnail.jp
Intelligent Blind Crossings for Suburban and Rural Intersections
Get PDFBlind intersections in suburban and rural areas pose significant safety challenges due to limited visibility and inadequate infrastructure. This project proposes an innovative solution leveraging the Internet of Vehicles (IoV) paradigm, utilizing connected and autonomous vehicles (CAVs) for seamless communication to enhance safety at these intersections. The research focuses on developing a specialized Road-Side Unit (RSU) system equipped with a Virtual Traffic Light Algorithm implemented on a Field-Programmable Gate Array (FPGA). Key stakeholders, including transportation authorities, vehicle manufacturers, and local communities, stand to benefit from this initiative. The RSU system acts as a critical infrastructure component, facilitating efficient intersection management and mitigating visibility challenges. Methodologies involve adapting the Virtual Traffic Light Algorithm, integrating it into the FPGA-based RSU system, and demonstrating RSU communication operability through software-defined radios. Additionally, a novel solar-powered system is designed for lightweight RSUs to enhance sustainability and energy efficiency. The project\u27s findings indicate the feasibility and practicality of the proposed RSU solution in enhancing safety at blind intersections. Successful implementation of the Virtual Traffic Light Algorithm on the FPGA demonstrates its potential for real-world deployment. The operability demonstration of RSU communication validates the effectiveness of the proposed communication system. Overall, this research contributes to advancing safety measures in transportation infrastructure, with potential implications for future urban planning and policy development
The multiple classes of ultra-diffuse galaxies: can we tell them apart?
Get PDFThis study compiles stellar populations and internal properties of ultra-diffuse galaxies (UDGs) to highlight correlations with their local environment, globular cluster (GC) richness, and star formation histories. Complementing our sample of 88 UDGs, we include 36 low surface brightness dwarf galaxies with UDG-like properties, referred to as NUDGes (nearly UDGs). All galaxies were studied using the same spectral energy distribution fitting methodology to explore what sets UDGs apart from other galaxies. We show that NUDGes are similar to UDGs in all properties except for being, by definition, smaller and having higher surface brightness. We find that UDGs and NUDGes show similar behaviours in their GC populations, with the most metal-poor galaxies hosting consistently more GCs on average. This suggests that GC content may provide an effective way to distinguish extreme galaxies within the low surface brightness regime alongside traditional parameters like size and surface brightness. We confirm previous results using clustering algorithms that UDGs split into two main classes, which might be associated with the formation pathways of a puffy dwarf and a failed galaxy. The clustering applied to the UDGs + NUDGes data set yields an equivalent result. The difference in mass contained in the GC system suggests that galaxies in different environments have not simply evolved from one another but may have formed through distinct processes
Spartan Daily, February 25, 2025
Get PDFVolume 164, Issue 14https://scholarworks.sjsu.edu/spartan_daily_2025/1013/thumbnail.jp
Spartan Daily, April 23, 2025
Get PDFVolume 164, Issue 36https://scholarworks.sjsu.edu/spartan_daily_2025/1035/thumbnail.jp