Reducing School Bus/Light-Vehicle Conflicts through Connected Vehicle Communications

Palframan, Kelly Donoghue; Alden, Andrew S. · 2016 · ROSA P / Connected Vehicle/Infrastructure University Transportation Center

archive: archived pipeline: cataloged verified

Get this paper ↗ (full text — opens at the source; we link to it, we don't host it)

Summary

This study addresses the safety risks associated with school bus/light-vehicle conflicts, specifically rear-end collisions caused by limited driver visibility of stopped buses over hills or around blind curves. While current practice relies on static "School Bus Stop Ahead" (SBSA) roadside signs, these provide no real-time indication of a bus’s presence and are often ignored or confused due to legacy signage variations. The research investigates whether Connected Vehicle (CV) technology, specifically Dedicated Short-Range Communications (DSRC), can improve driver awareness and reaction times by providing in-vehicle warnings of stopped school buses. The methodology comprised three phases: focus groups with light-vehicle and school bus drivers to identify desired information types; development of a Concept of Operations (ConOps); and an on-road experimental study. Twenty-nine naïve drivers participated in the road study, driving a 14.8-mile circuit equipped with CV transceivers and data acquisition systems. Drivers encountered two experimental conditions: passing a static roadside SBSA sign followed by a stopped bus, and receiving an in-vehicle visual and auditory "Stopped Ahead" message followed by a stopped bus. Vehicle kinematics, including speed, longitudinal acceleration, and jerk, were recorded and compared against baseline driving behavior when no bus was present. The results demonstrated a distinct difference in driver response between the two warning methods. Drivers exhibited a nearly immediate response to in-vehicle messages, characterized by earlier deceleration and smoother braking profiles. In contrast, roadside SBSA signs provided little evidence of modifying driver behavior prior to the visual observation of the stopped bus. Drivers often maintained speed until the bus became visible, resulting in later and more abrupt braking maneuvers. The in-vehicle system effectively extended the driver's information horizon, allowing for proactive speed adjustment before the visual obstruction was cleared. The study concludes that CV-based in-vehicle warnings are significantly more effective than static roadside signage in alerting drivers to stopped school buses in obscured locations. By providing real-time confirmation of a bus's presence, CV technology reduces reliance on driver interpretation of static signs and mitigates the risk of rear-end collisions caused by delayed reactions. The findings support the integration of DSRC technology into school bus safety systems to enhance conspicuity and improve traffic flow safety around school bus stops.

Key finding

Drivers responded nearly immediately to in-vehicle connected vehicle messages warning of a stopped school bus, whereas static roadside signs provided little evidence of modifying driver behavior prior to visually observing the bus.

Methodology

on_road

Sample size: 29

Provenance

The full processing record for this entry. Every stage of this paper's journey through the pipeline is logged — what ran, with which tool and model, how many attempts it took, and when it last completed. Discovered via bulk_ingest_rosap on 2026-05-23 (6 acquisition events logged).

StageOutcomeToolModelPromptAttemptsCompleted
discover success rosap 2 2026-05-23
archive success 1 2026-05-23
extract success cached 2 2026-06-10
clean success 1 2026-06-01
chunk success 1 2026-06-01
embed success 1 2026-06-02
enrich success 1 2026-05-23
promote success 1 2026-05-23
summarize success llm qwen3.6-27b-prismaquant summ-v5 3 2026-06-10
tag success vector_similarity 19 2026-06-11
verify success 2 2026-06-10

Summary generated by qwen3.6-27b-prismaquant on 2026-06-10; verification: verified.

Topics

Ranked by relevance to this paper. Hover a topic for its definition.

Information type

What kind of knowledge this paper contributes, grouped by family — independent of topic (what it is about) and method (how it was studied).