基于Django的城市通勤出发时间选择实验平台设计

随着交通工具的增加，交通拥堵成为最典型的城市病，人们通勤时间逐渐加长。为解决这一问题，采用基于Web框架的Django开发了一个城市通勤出发时间选择实验平台，目的是更方便地开展城市通勤出发时间实验。该平台具有较强的通用性，通过微调法修改实验参数后可实施路径选择和收费管理等条件下的出行选择实验。不仅可在传统PC端实现，还可利用Pad或手机等移动设备，使用微信小程序开展实验。代码简洁，实验界面清楚，管理账户能对整个实验进行操控。

The Experimental Platform Design of Urban Commuter Departure Time Based on Django

With the increase of transportation， traffic congestion has become the most typical urban disease， and people's commuting time has gradually lengthened. In order to solve this problem better， this paper develops a city commute departure time selection experiment based on Django based on Web framework. The purpose of developing this platform is to make it easier to carry out the laboratory test of urban commuting departure time. At the same time， the platform has strong versatility. After the experimental parameters are modified by the fine-tuning method， the travel selection experiment under the conditions of path selection and charge management is implemented. The most significant advantage of the platform we developed is that it not only breaks the traditional PC-side implementation， but also uses the WeChat applet to conduct experiments using mobile devices such as Pad or mobile phones. And the code is simple， the experimental interface is clear， and the management account can control the entire experiment.