Test Conditions

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Condition1.Intersection / Pedestrian Crossing

Condition1.Intersection / Pedestrian Crossing

Type:

  1. Intersections and pedestrian crossings equipped with traffic signals controlled by the intelligent safety systems. (The intelligent system can conduct vehicle safety alert and traffic environment monitoring via OBU, CMS etc. equipment.)
  2. Intersections and pedestrian crossings equipped with general traffic signals

Functionality:
Evaluating an autonomous vehicle’s ability in recognizing traffic signs and signals, and coordinating with the intelligent safety system for driving-route planning.

Condition2.Moving street blocks & scenarios

Condition2.Moving street blocks & scenarios

Type:
Moving street blocks and scenarios (on roadside walls) set up at an intersection to simulate the urban street block environment. (Total 8 sides)

Functionality:
Evaluating an autonomous vehicle’s ability in recognizing and detecting surrounding architecture environment.

Condition3.Smart Bus Shelters

Condition3.Smart Bus Shelters

Type:
2 roadside smart bus shelters set up with real-time display of vehicle info and the number of waiting people.

Functionality:
Evaluating an autonomous vehicle’s ability in driving-route planning and accuracy target-point parking.

Condition4.Roadside Parking lots /spaces

Condition4.Roadside Parking lots /spaces

Type:
3 types of roadside parking lots /spaces set up, including paralleled, angled, and perpendicular.

Functionality:
Evaluating an autonomous vehicle’s ability of automated parking.

Condition5.Roundabout

Condition5.Roundabout

Type:
1 Roundabout with 3 entrances / exits set.

Functionality:
Evaluating an autonomous vehicle’s ability in detecting the roundabout, and planning driving-routes.

Condition6.Narrowing driving lanes

Condition6.Narrowing driving lanes

Type:
Dual narrowing driving lanes (from 2 to 1 lane) set up to create road-environment variations.

Functionality:
Evaluating an autonomous vehicle’s ability in recognizing traffic signs and signals, as well as road-environment adaptations.

Condition7.Road curves

Condition7.Road curves

Type:
2 types of road curves in different radii.

Functionality:
Evaluating an autonomous vehicle’s ability in detecting road traffic markings and front barriers, as well as in automated steering.

Condition8.Level crossings (W/O automatic barriers or gates)

Condition8.Level crossings (W/O automatic barriers or gates)

Type:
2 level (railroad) crossings (W/O automatic barriers or gates); both are signalized and monitored.

Functionality:
Evaluating an autonomous vehicle’s ability in recognizing traffic signs and signals.

Condition9.T-junction

Condition9.T-junction

Type:
Signalized & non-signalized T-junctions with pedestrian crossing

Functionality:
Evaluating an autonomous vehicle’s ability in detecting road environment and planning the driving routes.

Condition10.Concrete road surface / bridge seams

Condition10.Concrete road surface / bridge seams

Type:
Concrete road surface / bridge seams conditions set up on the road to show different road-surface materials.

Functionality:
Evaluating an autonomous vehicle’s ability in detecting road-surface changes and corresponding adaptability.

Condition11.Tunnel

Condition11.Tunnel

Type:
1 tunnel built on the road.

Functionality:
Evaluating the influences of sheltered GPS signals and light-intensity variations on an autonomous vehicle’s sensing systems.

Condition12.Tree canopy

Condition12.Tree canopy

Type:
Lots of trees implanted at roadsides and on traffic islands, so as to create a tree-canopy zone.

Functionality:
Evaluating the influences of light-intensity variations on an autonomous vehicle’s sensing systems.

Condition13.Metal-bridge road surface

Condition13.Metal-bridge road surface

Type:
A metal bridge built to simulate the road surface of a temporary bridge or other metal-surface road conditions.

Functionality:
Evaluating the influences of metal-bridge road surface on an autonomous vehicle’s sensing systems.

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