Multi-objective Coordinated Layout Optimization of CAV-dedicated Lanes and Toll Lanes
[1]LI Li,ZHAN Pengyu,QIAN Zhen,et al.Multi-objective Coordinated Layout Optimization of CAV-dedicated Lanes and Toll Lanes[J].Journal of Zhengzhou University (Engineering Science),2027,48(XX):1-10.[doi:10. 13705 / j. issn. 1671-6833. 2026. 04. 018]
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Journal of Zhengzhou University (Engineering Science)[ISSN
1671-6833/CN
41-1339/T] Volume:
48
Number of periods:
2027 XX
Page number:
1-10
Column:
Public date:
2027-12-10
- Title:
- Multi-objective Coordinated Layout Optimization of CAV-dedicated Lanes and Toll Lanes
- Keywords:
- urban traffic; lane coordinated layout; non-dominated sorting genetic algorithm; dedicated lane; tolllane; vehicle air pollutant emissions
- CLC:
- U491U495
- Abstract:
- To reduce total travel time and vehicle pollutant emissions in urban transportation systems under mixedtraffic conditions with human-driven vehicles (HVs) and connected and autonomous vehicles (CAVs) , a multi-ob-jectiveoptimization model for the coordinated layout of CAV-dedicated lanes and toll lanes from the perspective ofurban transportation network planners was proposed and solved. Firstly, a mixed traffic assignment model was de-velopedbased on the driving characteristics of HV and CAV. Secondly, with the objectives of minimizing transpor-tationsystem travel time and vehicle air pollutant emissions, the mixed traffic flow model was integrated into the co-ordinatedlayout optimization model. The non-dominated sorting genetic algorithm was employed to solve the model,and its performance was compared with the multi-objective evolutionary algorithm based on decomposition and theimproved strength Pareto evolutionary algorithm. Finally the proposed method was validated on the Nguyen-Dupuisnetwork, and the impact of CAV penetration rates on the optimization schemes was analyzed. Experimental resultsshowed that the spatial coordinated layout optimization of CAV-dedicated lanes and toll lanes reduced average traveltime by 5. 75% and average vehicle air pollutant emissions by 3. 01%. Notably, both the reductions in travel timeand vehicle air pollutant emissions peaked at a CAV penetration rate of approximately 0. 4, with decreases of10. 48% and 4. 48%, respectively. Furthermore, validation on the larger Sioux-Falls network demonstrated that theproposed method yielded effective coordinated layout schemes within approximately 9. 6 hours, confirming its gener-alizabilityand practicality.
- References:
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Last Update:
2026-06-12
