Impact of Fixed Cameras on Traffic Crashes
DOI: 10.36348/sjce.2020.v04i10.001
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Summary
This study evaluates the effectiveness of fixed speed cameras installed on midblock segments of urban, suburban, and rural arterials in Jordan to reduce traffic crashes. Speeding is identified as a primary cause of traffic fatalities, accounting for approximately 35% of road crash casualties in Jordan. While speed cameras are widely regarded as a cost-effective enforcement strategy, their impact varies by road type and speed limit. The research specifically analyzes data from 24 cameras installed by the Greater Amman Municipality in January 2018, aiming to determine if these interventions significantly reduced crash frequencies compared to pre-installation trends. The researchers employed an interrupted time series analysis using an Autoregressive Integrated Moving Average (ARIMA) model to account for autocorrelation, trends, and seasonality in the data. Monthly crash data were collected for a 66-month period, spanning from January 2014 to June 2019, covering 48 months before and 18 months after the intervention. Crash data were aggregated for 500-meter segments before and after each camera location. The 24 sites were categorized into four groups based on speed limits and road characteristics: rural arterials (90–100 km/h), suburban arterials (80 km/h), suburban arterials (70 km/h), and urban arterials (60 km/h). Various functional forms, including linear, quadratic, logarithmic, power, and exponential, were tested to model the change in crash trends, with the best-fitting models selected based on the Akaike Information Criterion and Mean Absolute Percentage Error. The results indicated that the effectiveness of speed cameras depended heavily on the road type and speed limit. On urban arterials with a 60 km/h speed limit, the cameras resulted in a 10% reduction in crashes, avoiding approximately 140 incidents over the 18-month post-intervention period. Similarly, suburban arterials with a 70 km/h speed limit saw a 19% reduction, preventing about 239 crashes. However, cameras on suburban arterials with an 80 km/h speed limit showed a negligible effect, with only a 0.6% increase in crashes. Contrary to expectations and previous literature, cameras on rural segments of the Amman-Queen Alia Airport arterial (90–100 km/h) were associated with a 36.29% increase in crashes, adding approximately 113 incidents. The authors attribute this anomaly to the small sample size of only three cameras on rural roads, suggesting the result requires further investigation. The study concludes that fixed speed cameras are effective safety measures for urban and suburban roads with speed limits of 70 km/h or lower, consistent with global findings. However, they appear ineffective or potentially counterproductive on high-speed rural arterials, at least within the limited scope of this study. The findings highlight the importance of context-specific deployment strategies, noting that while cameras significantly improve safety in lower-speed environments, their impact on rural highways remains inconclusive due to insufficient data. The research underscores the utility of interrupted time series analysis for evaluating traffic safety interventions without requiring control groups, providing a robust methodological framework for future safety assessments.
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| Stage | Outcome | Tool | Model | Prompt | Attempts | Completed |
|---|---|---|---|---|---|---|
| discover | success | Crossref | — | — | 1 | 2026-06-20 |
| archive | success | canonical_url | — | — | 1 | 2026-06-26 |
| extract | success | cached | — | — | 2 | 2026-06-26 |
| clean | success | clean | — | — | 1 | 2026-06-20 |
| chunk | success | chunk | — | — | 1 | 2026-06-20 |
| embed | success | embed | Qwen/Qwen3-Embedding-8B | — | 1 | 2026-06-20 |
| enrich | success | openalex | — | — | 1 | 2026-06-20 |
| promote | success | — | — | — | 1 | 2026-06-20 |
| summarize | success | llm | qwen3.6-27b-prismaquant | summ-v5 | 1 | 2026-06-26 |
| tag | success | vector_similarity | — | — | 6 | 2026-06-20 |
| verify | success | — | — | — | 1 | 2026-06-26 |
Summary generated by qwen3.6-27b-prismaquant on 2026-06-26; verification: verified.
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- Empirical Findings: crash risk outcomes