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Introduction of the self-driving trial field

Provide a variety of traffic simulation

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Provide multiple traffice scenarios and
testing environments of 5G V2X network

Urban road

1. Crosswalk
2. Roundabout
3. Outdoor parking lot
4. Two-way road

Suburban road

5. T intersection
6. Bend
7. Lane contraction

Special road conditions

8. Bus bay
9. Shade of trees
10. Simulation of perplexing signals in city
11. Railroad crossing
12. 150 m of the accelerating track
13. 15% of ramp

Environments of 5G

1. V2V – car warning at the intersection
2. Pedestrian warning at the intersection
3. CMS safety warning
4. V2I – instant sign and traffic information
5. ADAS – assistant systems

Scenario

SituationCar1

1. Crosswalk

Test the ability of self-driving cars to detect signs, and markings at intersections and to calibrate the route planning.

SituationCar2

2. Roundabout

Assess the ability of self-driving cars to recognize lanes in a roundabout, as well as to calibrate the route planning functions.

SituationCar3

3. Outdoor parking lot/space

Assess the ability of self-driving car to park in the parking space, including reverse parking. and parallel parking etc.

4.雙向道

4. Two-way road

Assess the ability of self-driving cars to encounter cars and to maintain the distance from the refuge island.

SituationCar4

5. T intersection

Assess the ability of self-driving cars to detect road signals, signs and horizontal lines at intersections as well as to plan routes.

SituationCar5

6. Bend

Assess the ability of self-driving cars to detect pavement parkings, to remain in the same lane, to follow, and to plan routes.

SituationCar6

7. Lane contraction

Assess the ability of self-driving cars to detect, to remain in the same lane, to follow and to plan routes.

SituationCar7

8. Bus bay

Assess the ability of self-driving cars to park in the bus-only parking space and to provide the test of passengers getting on and off the bus.

SituationCar8

9. Shade of trees

Assess the ability of self-driving cars to detect road signals, signs and pavement markings under shades as well as to plan routes.

SituationCar9

10. Simulation of perplexing signals in city

Assess the ability of self-driving cars to remain in the same lane, to follow, and to plan routes while being disturbed by buildings or walls in the city.

SituationCar10

11. Railroad crossing

Assess the ability of self-driving cars to detect the railroad signals, signs and pavement lines.

12.13 150米加速坡道與15斜坡道 2

12.13. 150 m of the accelerating track and 15% of ramp

Assess the ability of self-driving cars to accelerate, to climb, and to stay still on the ramp.