Traffic Emission Prediction scheme (TEPs)
teps.caTEPs is a software application developed by the University of Toronto that predicts road traffic volume and on-road emissions in urban areas. It utilizes traffic count data to forecast periodic and annual volumes, as well as greenhouse gas emissions at the individual roadway level, with outputs automatically validated against observed counts. The tool features parallel computing capabilities and allows users to quantify the impact of various scenarios on urban air quality.
LLM mention score The LLM mention score is the total number of mentions of this brand in different LLM chatbots, normalized to the scale from 0 to 100. You can get actual, non-normalized numbers via the LLM Mention API from DataForSEO.
Normalized 0–100 · last 8 weeks
DataForSEO API
Get LLM mention data of any company via DataForSEO API
Get access to the structured data on keyword, brand, and website mentions in LLMs, including metrics like AI search volume, impressions, and mentions count.
How to get LLM mention data →// Fetch Traffic Emission Prediction scheme (TEPs) mentions POST v3/ai_optimization/llm_mentions/search/live [ { "target": [ { "keyword": "Traffic Emission Prediction scheme (TEPs)", "search_scope": ["any"] } ], "platform": "chat_gpt", "order_by" : ["ai_search_volume,desc"] } ]
