Parking and Ride Induction Methods for Drivers in Commuting Scenes

Abstract

Parking and ride is a very effective method to improve the traffic condition of commuter channels, and it is necessary to develop effective parking guidance strategies. In this study, considering the travel time, walking distance, parking cruise time, parking fee, and personal attributes of drivers, a probability model of parking and ride selection in commuter scenarios was proposed, and a dynamic price adjustment method based on the equilibrium of parking occupancy in the region was constructed. The parking price was adjusted by determining the target occupancy, thus affecting the parking choice behavior to guide the commuter to park. The example analysis showed that this method adjusted the selection probability of the parking lot by using the dynamic price adjustment method from the perspective of regional parking occupancy equilibrium, solved the model by symmetric duality algorithm and formulated a reasonable parking replacement induction scheme to achieve the goal of occupancy equilibrium. Compared with parking guidance under static pricing, it can avoid the crowding of commuter vehicles into the city center effectively to reduce the congestion of commuter channels.

Exploring the Spatiotemporal Impacts of the Built Environment on Taxi Ridership Using Multisource Data

“…Therefore, if the transfer between residential areas and railway stations is more convenient, people may reduce their reliance on taxis in the morning peak hours, which will also have a positive effect on alleviating the traffic congestion. As a result, the government can improve this situation by equipping convenient transfer services, such as developing MaaS (Mobility as a Service), improving the transfer infrastructure between shared bicycles and railway stations, or providing well-equipped park-and-ride facilities around the stations [45]. (3) Contrary to our perception, in general, offering a variety of transportation options has had little to no effect on reducing the taxi ridership, but has largely increased it, especially in downtown areas.…”

Editorial Conclusion for the Special Issue “Advanced Transportation Technologies and Symmetries in Intelligent Transportation Systems”

“…Among the accepted papers, Zhang et al [1] considered the travel time, walking distance, parking cruise time, parking fee, and personal attributes of drivers, simultaneously, to develop a stochastic model for making the parking and ride selection decisions with different commuter scenarios. They proposed a symmetric duality algorithm to achieve the goal of occupancy equilibrium.…”