Stochastic eco-routing in a signalized traffic network |
| |
| Institution: | 1. Department of Civil, Environmental, and Geo- Engineering, University of Minnesota, Twin Cities, 500 Pillsbury Drive SE, Minneapolis, MN 55455, USA;2. Department of Civil and Environmental Engineering, University of Michigan, Ann Arbor, 2350 Hayward Street, Ann Arbor, MI 48109-2125, USA;3. University of Michigan Transportation Research Institute (UMTRI), 2901 Baxter Road, Ann Arbor, MI 48109, USA;1. INESC TEC, Faculdade de Engenharia, Universidade do Porto, Rua Dr. Roberto Frias, 4200-465 Porto, Portugal;2. Massachusetts Institute of Technology, Department of Urban Studies and Planning, 77 Massachusetts Avenue, Cambridge, MA 02139, United States;1. NEXTRANS Center, Purdue University, 3000 Kent Avenue, West Lafayette, IN 47906, USA;2. School of Civil Engineering, Purdue University, West Lafayette, IN 47907, USA;1. Shanghai Maritime University, No. 1550, Harbour Rd., New district, Pudong, Shanghai 201306, China;2. Tokyo Institute of Technology, M1-11, 2-12-1, O-okayama, Meguro-ku, Tokyo 152-8552, Japan |
| |
| Abstract: | In this paper, an eco-routing algorithm is developed for vehicles in a signalized traffic network. The proposed method incorporates a microscopic vehicle emission model into a Markov decision process (MDP). Instead of using GPS-based vehicle trajectory data, which are used by many existing eco-routing algorithm, high resolution traffic data including vehicle arrival and signal status information are used as primary inputs. The proposed method can work with any microscopic vehicle model that uses vehicle trajectories as inputs and gives related emission rates as outputs. Furthermore, a constrained eco-routing problem is proposed to deal with the situation where multiple costs present. This is done by transferring the original MDP based formulation to a linear programming formulation. Besides the primary cost, additional costs are considered as constraints. Two numerical examples are given using the field data obtained from City of Pasadena, California, USA. The eco-routing algorithm for single objective is compared against the traditional shortest path algorithm, Dijkstra’s algorithm. Average reductions of CO emission around 20% are observed. |
| |
| Keywords: | Eco-routing Shortest path Traffic signal Vehicle emission |
| 本文献已被 ScienceDirect 等数据库收录！ |
|
