MOST-ITS, infrastrucutre risk aware rerouting of heavy vehicles
Overview
MOST-ITS is a simulation and optimization framework for infrastructure-risk-aware routing of heavy vehicles on road networks containing at-risk civil structures such as bridges.
The system integrates three main components:
- SUMO-based traffic simulation — road networks and mixed traffic (heavy trucks and light vehicles) are modeled and simulated using SUMO. A periodic rerouter is triggered at runtime and queries live traffic state via the TraCI interface, collecting position, speed, and load information for each vehicle class.
- Operational research engine — given the current traffic state, alternative routes are evaluated using operations-research techniques to identify paths that balance travel time penalties against structural stress on bridges.
- Civil-engineering risk module — structural risk scores for bridges are computed by integrating real-time load estimates (derived from heavy-vehicle traffic) with structural health parameters (elastic/plastic thresholds, degradation state). These scores feed directly into the routing cost function, allowing the rerouter to trade off congestion against cumulative structural damage.
The overall goal is to reduce the stress imposed by heavy loads on vulnerable bridges while keeping travel-time overhead acceptable for freight operators — contributing to both infrastructure longevity and transport resilience.
TODO
| # | Task | Priority | Notes |
|---|---|---|---|
| 1 | Integrate Roberto’s risk module into the toy-example scenario | High | Currently using a placeholder risk function; real module needed to produce meaningful reroutings |
| 2 | Tune speed parameters: bridge road faster than detour roads | High | Ensures rerouting is driven by risk, not by travel-time advantage of detours |
| 3 | Validation scenario — light load: all traffic expected on bridge | High | Baseline sanity check for PYC+RER correctness |
| 4 | Validation scenario — heavy load: fraction of traffic diverted to detours | High | Confirms rerouter reacts to congestion + risk pressure |
| 5 | Validation scenario — “armored bridge” (very high thresholds): all traffic stays on bridge even under heavy load | Medium | Isolates the risk variable; bridge health should dominate routing decision |
| 6 | Validation scenario — “cardboard bridge” (very low thresholds): all traffic diverted even under light load | Medium | Symmetric counterpart of #5 |
| 7 | Complete validation of PYC+RER integration with current (simplified) risk function | Medium | Confirm the simulation pipeline is sound before plugging in the full risk model |
| 8 | Scale up to more structured / realistic road networks | Low | After toy-example validation is complete and the team is confident in the results |