To assist traffic simulation researchers worldwide.
Pre-calibrated vehicle fleets for chaotic, aggressive, non-lane-based traffic environments
Standard simulation defaults (Wiedemann 74/99) collapse in mixed aggressive environments like the Egyptian Ring Road.
Download pre-calibrated configuration files for PTV VISSIM, SUMO, and Aimsun Next — plus Python automation scripts.
Supporting researchers in Egypt, the Arab world, and other developing markets.
Adjust the slider to set the proportion of autonomous vehicles in the traffic stream.
Visualize how increasing AV penetration smooths chaotic Egyptian Ring Road traffic in real-time.
The Egyptian conventional fleet dominates todays roads. Microbuses, passenger cars (Mlaiky), and heavy trucks (Naql) exhibit aggressive, non-lane-based driving patterns.
High acceleration/deceleration, zero lateral headway, aggressive lane changes, frequent roadside stops (mean dwell ~25s, ~0.4 stops/km).
Reduced safety distances, high cooperative lane-changing thresholds, unpredictable cut-ins.
Low power-to-weight, extended braking distances, night-dominant lane usage.
ACC with rigid lane-keeping. Reaction ~1.1s, safety 0.75, sigma 0.15.
V2X-enabled CACC platoons with near-zero safety headways. Defensive mode activates when cut off by Level 0 vehicles.
Wiedemann 99 * SUMO Krauss * IDM - All share the same kinematic base sqrt(a*b)
d = CC0 + v*tau*safety + v*(v-vl)/(2*sqrt(a*b))*safety
s* = minGap + v*tau - v*(vl-v)/(2*sqrt(a*b))
TTC = gap / (v_follower - v_leader)
a = v^2 / (2*gap)
| Vehicle | Level | Reaction tau (s) | Safety | Accel | Decel | Sigma |
|---|---|---|---|---|---|---|
| Egyptian Microbus | L0 | 0.70 | 0.35 | 3.0 | 6.0 | 0.95 |
| Mlaiky (Car) | L0 | 0.85 | 0.45 | 2.4 | 5.0 | 0.85 |
| Naql (Truck) | L0 | 1.30 | 0.55 | 0.9 | 4.5 | 0.75 |
| AV SAE L2 | L2 | 1.10 | 0.75 | 1.8 | 3.2 | 0.15 |
| AV SAE L4-5 | L4-5 | 0.35 | 0.95 | 2.2 | 3.5 | 0.01 |
| Current Fleet Weighted | -- | 0.86 | 0.43 | 2.22 | 4.88 | 0.85 |
Download pre-calibrated configuration files mapped to standard directory targets.
/fleets/custom_egypt_fleet.inpx
PTV VISSIM .inpx configuration with Wiedemann 99 parameters for all Egyptian vehicle types.
/fleets/egypt_sumo_fleet.rou.xml
SUMO .rou.xml with Krauss car-following and SL2015 lane-changing parameters.
/scripts/vissim_sae_override.py
Python script using TraCI/COM/Aimsun API for real-time TTC-based conflict resolution.
Step-by-step instructions to deploy our pre-calibrated fleets into your simulation environment.
Launch PTV VISSIM and open your existing base network layout file (.inpx) containing your road geometry, signal controllers, and desired traffic demand.
Navigate to File → Read Additional → Network from the top menu bar. This command allows you to merge vehicle type definitions without overwriting your existing road links, connectors, or signal plans.
Browse to and select our downloaded /fleets/custom_egypt_fleet.inpx file. Confirm the import dialog — VISSIM will inject the Wiedemann 99 parameters (CC0-CC9, OP0-OP16) for all Egyptian vehicle types into your vehicle type library.
Open the vehicle type list to confirm the new types appear. Assign them to your desired vehicle inputs. Run the simulation and verify that the aggressive Egyptian driving behavior matches expected calibrations.
Are you a researcher from India, Brazil, or another developing market? Upload your local calibration set and help us expand globally!
github.com/sae-calibration-hubScientific foundation for all calibrated parameters:
Ahmed, S. et al. (2023). "Chaotic Traffic Driving Characteristics on the Cairo Ring Road." Journal of Traffic Engineering.
El-Baset, M. et al. (2022). "Calibration of Microsimulation Models for Non-Lane-Based Traffic in Egypt." IEEE Transactions on Intelligent Transportation Systems.
SAE International. (2021). "J3016 - Taxonomy and Definitions for Terms Related to Driving Automation Systems."
PTV Group. (2024). "VISSIM 2024 User Manual - Wiedemann 99 Car-Following Model."
DLR Institute of Transportation Systems. (2024). "SUMO Documentation - Car-Following Models."
Aimsun. (2024). "Aimsun Next 24 User Guide - Microscopic Traffic Simulation."