Suburban demand responsive transit service with rental vehicles

L Zhang, T Chen, B Yu, C Wang - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Demand responsive transit (DRT) services in suburban regions serve residents as the
complements of the public transportation. Since suburban DRT service usually faces …

[PDF][PDF] Machine learning-based eco-approach and departure: Real-time trajectory optimization at connected signalized intersections

D Esaid, P Hao, G Wu, F Ye, Z Wei… - … Environment, & Policy, 2021 - drive.google.com
Taking advantage of communication and sensing technology, trajectory optimization at
signalized intersection (ie, Eco-Approach and Departure) based on information from vehicle …

AGVs Route Planning Based on Region‐Segmentation Dynamic Programming in Smart Road Network Systems

Z Zhang, J Chen, Q Guo - Scientific Programming, 2021 - Wiley Online Library
In this paper, a route‐planning approach is proposed based on the region‐segmentation
Dynamic Programming (DP) algorithm for Automated Guided Vehicles (AGVs) in large Smart …

Integrated design framework for on-demand transit system based on spatiotemporal mobility patterns

J Kim, S Tak, J Lee, H Yeo - Transportation Research Part C: Emerging …, 2023 - Elsevier
On-demand transit is a flexible transit service designed to adjust the service schedule and
route based on passengers' dynamic demand. The operation of on-demand transit operates …

Delivery Route Optimization with automated vehicle in smart urban environment

C Luo, D Li, X Ding, W Wu - Theoretical Computer Science, 2020 - Elsevier
As a part of the smart urban construction, automated driving is introduced to improve the
utilization efficiency of cars and roads, which not only reduces the incidence of traffic …

Connected vehicles' dynamic route planning based on reinforcement learning

K Ma, S Liao, Y Niu - Future Generation Computer Systems, 2024 - Elsevier
Real-time route planning is a challenging work for the Internet of Vehicles (IoV) systems.
Some people have used swarm intelligence algorithms to schedule routes for connected …

[PDF][PDF] A Real Time Traffic Flow Model Based on Deep Learning.

S Zhang, CY Pei, WY Liu - KSII Transactions on Internet & Information …, 2022 - itiis.org
Urban development has brought about the increasing saturation of urban traffic demand,
and traffic congestion has become the primary problem in transportation. Roads are in a …

A transportation digital-twin approach for adaptive traffic control systems

S Dasgupta, M Rahman, AD Lidbe, W Lu… - arXiv preprint arXiv …, 2021 - arxiv.org
A transportation digital twin represents a digital version of a transportation physical object or
process, such as a traffic signal controller, and thereby a two-way real-time data exchange …

Dynamic Path Planning Based on Service Level of Road Network

B Huang, F Zhang, L Lei - Electronics, 2022 - mdpi.com
Vehicle–road coordination is an important application scenario in the sustainable
development of urban transportation. In this scenario, by navigating the vehicles in the road …

A fast optimal speed planning system in arterial roads for intelligent and connected vehicles

C Sun, J Leng, F Sun - IEEE Internet of Things Journal, 2022 - ieeexplore.ieee.org
Speed planning system is generally equipped for intelligent and connected vehicles (ICVs).
Under the circumstances of autonomous driving, an energy-optimal speed trajectory is …