Research Article
The Impact of Automated Vehicles on Traffic Flow and Road Capacity on Urban Road Networks
Table 1
Parameters for modelling AVs and HDVs.
| Parameters | AVs | HDV |
| Car-following (Wiedemann 74) | Standstill distance (m) | 0.5 | 1.5 | Headway time (s) | 0.5 | |
| Lane change | Min. headway (m) | 0.2 | 0.5 | Safety distance reduction factor (%) | 30 | 60 | Cooperative lane change | Min. speed difference(km/h) | 10 | N/A | Max. collision time (s) | 10 | N/A |
| Driver characteristics | Look ahead distance (m) | Min. | 0 | 5 | Max. | 500 | 100 | Look back distance (m) | Min. | 0 | 5 | Max. | 500 | 50 | Desired speed (km/h) | Lower bound | 50 | 48 | Upper bound | 50 | 58 | Driver errors (%) | 0 | 10 |
| Automated driving/platooning possible | Max. number of vehicles | 7 | N/A | Max. desired speed (km/h) | 50 | N/A | Max. distance for catching up to a platoon (m) | 30 | N/A | Gap time (s) | 0.2 | N/A | Minimum clearance (m) | 2 | N/A |
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