基于网联车辆的按需出行智能交通系统运行优化

本项目旨在探讨基于网联车辆的按需出行城市交通及区域物流系统调度新模式及新方法，重点研究自主按需出行智能交通系统的建模、运行优化、性能及规模评价等方面的重要共性科学问题。主要研究内容包括：(1) 按需出行系统的机理和数学建模。拟探讨用网络流、队列理论和分布式状态空间法等方法，建立便于按需出行交通系统分析和优化的系统架构和建模方法。(2) 出行需求的预测方法。拟基于历史数据，寻求用频率统计、深度强化学习等方法获得城市出行需求的动态预测方法。(3) 动态再平衡车辆调度和路径规划方法。根据移动出行交通系统的总体成本、服务质量和交通效率构造优化指标，研究交通系统高效低成本运行优化调度、车辆协调控制、系统规模分析及性能评价方法体系。(4) 自主按需出行交通与物流系统实验平台。构建共享移动出行交通系统技术指标体系和验证测试平台。

This project investigates novel scheduling modes and methods of autonomous mobility-on-demand (MoD) transportation and regional logistics systems for use in metropolises based on connected vehicles. The emphasis is focused on some fundamental common scientific problems in modeling, operational optimization, performance and scale evaluation of autonomous mobility-on-demand intelligent transportation systems. The main contents of the project are as follows. (1) The mechanism and mathematical modeling of mobility-on-demand systems: seeking for system architecture and modeling methods (based on methods like network flow, queuing theory and distributed state space model) that are convenient for analysis and optimization of MoD transportation systems. (2) Methods for mobility demand forecasting: presenting dynamic mobility forecasting schemes for metropolises using methods such as frequency statistics, deep reinforcement learning based on historical dada. (3) Methods for dynamic rebalance scheduling and routing of vehicles: finding out high efficiency low cost methodologies for optimal operational scheduling, vehicle cooperative control, system scale analysis and performance evaluation, by constructing optimization cost function on the basis of the general cost, service quality and traffic efficiency of MoD transportation systems. (4) Experimental platform of autonomous mobility-on-demand transportation and logistics systems: developing technical index system and verification testing platform of shared mobility-on-demand transportation systems.