使用环境参考
CocosCreator v3.7.2
ChatGPT
正文
什么是幽灵堵车
堵车,大家都不陌生!
堵车时我就思维发散,用 CocosCreator 模拟下堵车应该挺好玩,网上总说高速上最前面如果有个龟速的车,后面能堵车堵个两三公里。查了一下这叫“幽灵堵车”。问下 ChatGPT:
然后我就新建了个项目,从官方商城搞个车过来:
让 AI 帮你打代码
接下来就是让 AI 来敲代码的过程,要想让 AI 明白你的意思,你得尽可能详细的描述当前的环境以及你想要的东西!!
接下来是我们长长的长长的长长的对话:
参数的修改
代码终于成功跑起来了,然后速度过快,最大最小速度缩小了 50 倍左右,效果如下:
给出代码
import{ _decorator, Component, Node, Prefab, instantiate, Vec3 }from"cc";const{ ccclass, property }= _decorator;@ccclass("Main")exportclassMainextendsComponent{@property(Prefab)
carPrefab: Prefab =null!;private carList:{ speed:number; carNode: Node }[]=[];private time:number=0;private interval:number=3;start(){this.addCar();}update(dt:number){this.time += dt;if(this.time >this.interval){this.addCar();this.time =0;}this.moveCars(dt);}privateaddCar(){const carNode =instantiate(this.carPrefab);
carNode.parent =this.node;const car ={ speed:1, carNode: carNode };this.carList.push(car);}privatemoveCars(dt:number){for(let i =0; i <this.carList.length; i++){const car =this.carList[i];const carPosition = car.carNode.position;// 如果不是第一辆车,则判断与前一辆车的距离是否大于安全距离if(i >0){const frontCar =this.carList[i -1];const frontCarPosition = frontCar.carNode.position;const distance = frontCarPosition.x - carPosition.x;if(distance <4){
car.speed = Math.max(0, frontCar.speed -1);}else{
car.speed = Math.min(1, frontCar.speed +1);}}const newCarPosition = carPosition.add(newVec3(car.speed * dt,0,0));
car.carNode.setPosition(newCarPosition);}}}
让 AI 赋予小车加速度
一拍大腿,加速度给忘了,我说走的这么立正!!
接下来通过对话让 ai 给代码加上加速度,然后再写一个摄像机控制逻辑:
效果如图:
当车辆数量到达 40 左右时,就已经出现两段长时间的拥堵了,幽灵堵车-可视化 okk!!
当车辆 200+ 时,车辆会以 10 个左右为一组,组团摇摆,这还是大家反应力 MAX 理想情况!
最终代码:
// 挂载 root 空节点import{ _decorator, Component, Node, Prefab, instantiate, Vec3 }from"cc";const{ ccclass, property }= _decorator;@ccclass("Main")exportclassMainextendsComponent{@property(Prefab)
carPrefab: Prefab =null!;private carList:{ speed:number; carNode: Node }[]=[];private time:number=0;private interval:number=3;start(){this.addCar();}update(dt:number){this.time += dt;if(this.time >this.interval){this.addCar();this.time =0;}this.moveCars(dt);}privateaddCar(){const carNode =instantiate(this.carPrefab);
carNode.parent =this.node;const car ={ speed:5, carNode: carNode };this.carList.push(car);}privatemoveCars(dt:number){const acceleration =0.35;// 加速度const drag =0.05;// 阻力系数for(let i =0; i <this.carList.length; i++){const car =this.carList[i];const carPosition = car.carNode.position;// 如果不是第一辆车,则判断与前一辆车的距离是否大于安全距离if(i >0){const frontCar =this.carList[i -1];const frontCarPosition = frontCar.carNode.position;const distance = frontCarPosition.x - carPosition.x;if(distance <5){
car.speed = Math.max(0, car.speed - acceleration - drag);}else{
car.speed = Math.min(10, car.speed + acceleration - drag);}}else{// 第一辆车匀速低速行驶
car.speed = Math.min(2, car.speed + acceleration - drag);}const newCarPosition = carPosition.add(newVec3(car.speed * dt,0,0));
car.carNode.setPosition(newCarPosition);}}}// 挂载 camera 摄像机节点import{
_decorator,
Component,
Vec3,
systemEvent,
SystemEvent,
EventKeyboard,
KeyCode,}from"cc";const{ ccclass, property }= _decorator;@ccclass("Camera")exportclassCameraextendsComponent{@property({ type: Number })
moveSpeed:number=5;private _isMovingLeft:boolean=false;private _isMovingRight:boolean=false;start(){
systemEvent.on(SystemEvent.EventType.KEY_DOWN,this.onKeyDown,this);
systemEvent.on(SystemEvent.EventType.KEY_UP,this.onKeyUp,this);}update(deltaTime:number){let deltaMove =newVec3();if(this._isMovingLeft){
deltaMove.x -=this.moveSpeed * deltaTime;}if(this._isMovingRight){
deltaMove.x +=this.moveSpeed * deltaTime;}this.node.translate(deltaMove);}privateonKeyDown(event: EventKeyboard){switch(event.keyCode){case KeyCode.KEY_A:this._isMovingLeft =true;break;case KeyCode.KEY_D:this._isMovingRight =true;break;}}privateonKeyUp(event: EventKeyboard){switch(event.keyCode){case KeyCode.KEY_A:this._isMovingLeft =false;break;case KeyCode.KEY_D:this._isMovingRight =false;break;}}}
AI 总结
最后,让 AI 做个总结吧!
Emmmmm… 就喜欢它时而牛逼时而智障的样子!!
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