TY - JOUR
T1 - Exact and Heuristic Algorithms for Rapid and Station Arrival-Time Guaranteed Bus Transportation via Lane Reservation
AU - Wu, Peng
AU - Che, Ada
AU - Chu, Feng
AU - Fang, Yunfei
N1 - Publisher Copyright:
© 2016 IEEE.
PY - 2017/8
Y1 - 2017/8
N2 - This paper addresses a new lane reservation problem called bus lane reservation problem (BLRP). The focus of the problem is on optimally selecting lanes to be reserved from an existing transport network and designing reserved lane-based bus paths, such that the rapid and station arrival-time guaranteed bus transit can be ensured, thereby achieving rapid and reliable bus transportation. However, once lanes are reserved, negative impact, such as an increase in travel time on adjacent non-reserved lanes may be caused. For this problem, an improved integer linear program is first formulated to minimize such negative impact. As the existing commercial solvers, e.g., CPLEX, can only solve small-size problems, we develop an exact enhanced cut-and-solve algorithm and an improved kernel search heuristic for solving medium- and large-size problems. Results of extensive numerical experiments confirm the effectiveness and efficiency of the proposed algorithms. In addition, a bi-objective robust BRLP is investigated to study the tradeoff between the negative impact of reserved lanes and the robustness of solution against the uncertainties in the link travel time and the bus dwell time.
AB - This paper addresses a new lane reservation problem called bus lane reservation problem (BLRP). The focus of the problem is on optimally selecting lanes to be reserved from an existing transport network and designing reserved lane-based bus paths, such that the rapid and station arrival-time guaranteed bus transit can be ensured, thereby achieving rapid and reliable bus transportation. However, once lanes are reserved, negative impact, such as an increase in travel time on adjacent non-reserved lanes may be caused. For this problem, an improved integer linear program is first formulated to minimize such negative impact. As the existing commercial solvers, e.g., CPLEX, can only solve small-size problems, we develop an exact enhanced cut-and-solve algorithm and an improved kernel search heuristic for solving medium- and large-size problems. Results of extensive numerical experiments confirm the effectiveness and efficiency of the proposed algorithms. In addition, a bi-objective robust BRLP is investigated to study the tradeoff between the negative impact of reserved lanes and the robustness of solution against the uncertainties in the link travel time and the bus dwell time.
KW - bi-objective optimization
KW - Bus lane reservation
KW - cut-and-solve method
KW - integer programming
KW - kernel search
UR - http://www.scopus.com/inward/record.url?scp=85007371017&partnerID=8YFLogxK
U2 - 10.1109/TITS.2016.2631893
DO - 10.1109/TITS.2016.2631893
M3 - 文章
AN - SCOPUS:85007371017
SN - 1524-9050
VL - 18
SP - 2028
EP - 2043
JO - IEEE Transactions on Intelligent Transportation Systems
JF - IEEE Transactions on Intelligent Transportation Systems
IS - 8
M1 - 7786829
ER -