Dynamic Vehicle Routing with Parking Probability under Connected Environment

Author:

Yang Hao1ORCID,Oguchi Kentaro2ORCID

Affiliation:

1. Department of Civil Engineering, McMaster University, Hamilton, ON, Canada

2. Toyota InfoTech Labs, Toyota Motor North America, Mountain View, CA

Abstract

In downtown areas of large cities, it is very challenging for drivers to find available parking spots, even when they are provided with information on parking availability and location information. To overcome this challenge, this paper develops a dynamic vehicle routing system to search for the optimal routes for connected vehicles to find parking spots successfully and to minimize total trip time, including driving time and walking time. The system predicts the probability of each parking lot having available parking spots based on the existing available number of spots and the vehicle arrival and departure rates collected by connected vehicles. This probability is integrated in the search for vehicle routes to minimize total travel and walking times. Numerical experiments indicate that the proposed system can reduce the cruising time spent searching for available parking spots, and the total trip time can be reduced by up to 24%. In addition, the system can decrease the number of re-routing decisions, which reduces the stress of drivers on the road. A sensitivity analysis of the parking probability is also conducted. Some future work based on the proposed system is proposed in the conclusion to this paper.

Publisher

SAGE Publications

Subject

Mechanical Engineering,Civil and Structural Engineering

Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Impacts of Connected Automated Vehicles on Urban Parking: A Literature Review;2023 7th International Conference on Transportation Information and Safety (ICTIS);2023-08-04

2. A shared parking optimization framework based on dynamic resource allocation and path planning;Physica A: Statistical Mechanics and its Applications;2023-04

3. A Hierarchical Algorithm for In-city Parking Allocation Based on Open Street Map and AnyLogic Software;Arabian Journal for Science and Engineering;2023-01-19

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