The Effects of Route Randomization on Urban Emissions
summary
SUMO simulations on Milan test a non‑deterministic routing scheme that samples k-path selection alternatives and injects route randomization from 0% upward in steps, measuring CO2 and travel time plus edge-level emission distribution. Results show that moderate-to-high random components (past an empirical threshold) both lower total emissions and reduce average travel time while spreading load more evenly across the network, with clear tradeoffs quantified per randomization level and per O‑D pair rather than mere theoretical claims.
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chapters (8)
- 0:00Introduction
- 1:03Alternative routing strategies
- 2:39Mobility simulator perspective
- 6:06Road network model
- 7:45Testing with SUMO
- 8:29Emissions analysis
- 9:15Emissions distribution findings
- 12:23Future research
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