Data-driven Collaborative Transportation

数据驱动的协同交通

• 批准号: RGPIN-2018-05096
• 负责人: Yu, JiaYuan
• 金额: $ 1.89万
• 依托单位: Concordia University
• 依托单位国家: 加拿大
• 项目类别: Discovery Grants Program - Individual
• 财政年份: 2020
• 资助国家: 加拿大
• 起止时间: 2020-01-01 至 2021-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=713107
• 关键词: Data; driven; Collaborative; Transportation

Currently, cars are vastly underutilized. Firstly, most cars sit in parking spaces over ninety percent of the time. Secondly, even cars that are in use are underused due to their low occupancy relative to the number of seats available. This inefficient use of transportation and parking resources had to be tolerated to enjoy reliable, safe, and on-demand transportation. Today, however, Internet-connected devices allow us to move away from the car-ownership paradigm toward a shared transportation paradigm. Hence, more and more people are moving away from car-ownership to embrace public transportation, on-demand taxis (Uber, BlaBlaCar), and on-demand carsharing (Car2go). Carsharing refers to services like Car2Go, where multiple travelers use the same vehicle sequentially. Ridesharing refers to services such as UberPool and Blablacar, where multiple riders share the same vehicle concurrently on overlapping portions of their trips. Government policy-changes and electric vehicles are tackling the problems of pollution from vehicle emissions. Future autonomous vehicles aim to reduce the number of idle vehicles in parking lots by increasing their usage through carsharing. However, neither electric vehicles nor autonomous vehicles can reduce the number of cars traveling on roads and the resulting congestion delays. This Discovery program aims to reduce road congestion through ridesharing by using real-time data from Internet-connected devices (vehicles and smartphones) and real-time optimization to make ridesharing and routing decisions. In fact, the advent of autonomous vehicles will likely make ridesharing services even more accessible.

目前，汽车的利用严重不足。首先，大多数汽车百分之九十以上的时间都停在停车位上。其次，即使是正在使用的汽车也没有得到充分利用，因为它们的占用率相对于可用座位数而言较低。为了享受可靠、安全和按需的交通，必须容忍这种交通和停车资源的低效使用。然而，如今，联网设备使我们能够从拥有汽车的范式转向共享交通范式。因此，越来越多的人不再拥有汽车，而转向公共交通、按需出租车（Uber、BlaBlaCar）和按需汽车共享（Car2go）。汽车共享是指 Car2Go 等服务，其中多个旅行者依次使用同一辆车。拼车服务是指 UberPool 和 Blablacar 等服务，其中多个乘客在行程的重叠部分同时共享同一辆车。政府政策的变化和电动汽车正在解决汽车排放造成的污染问题。未来的自动驾驶汽车旨在通过汽车共享增加停车场的闲置车辆数量，从而减少停车场的闲置车辆数量。然而，电动汽车和自动驾驶汽车都无法减少道路上行驶的汽车数量以及由此造成的拥堵延误。该 Discovery 计划旨在通过使用来自互联网连接设备（车辆和智能手机）的实时数据以及实时优化来做出乘车共享和路线决策，从而通过乘车共享来减少道路拥堵。事实上，自动驾驶汽车的出现可能会让拼车服务变得更加容易。